[jira] [Commented] (SPARK-45482) Handle the usage of AccessControlContext and AccessController.
[
https://issues.apache.org/jira/browse/SPARK-45482?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17773897#comment-17773897
]
Yang Jie commented on SPARK-45482:
--
OK, Let me close this one
> Handle the usage of AccessControlContext and AccessController.
> --
>
> Key: SPARK-45482
> URL: https://issues.apache.org/jira/browse/SPARK-45482
> Project: Spark
> Issue Type: Sub-task
> Components: Spark Core, SQL
>Affects Versions: 4.0.0
>Reporter: Yang Jie
>Priority: Minor
>
>
>
> {code:java}
> * @deprecated This class is only useful in conjunction with
> * {@linkplain SecurityManager the Security Manager}, which is
> deprecated
> * and subject to removal in a future release. Consequently, this class
> * is also deprecated and subject to removal. There is no replacement
> for
> * the Security Manager or this class.
> */
> @Deprecated(since="17", forRemoval=true)
> public final class AccessController {
> * @deprecated This class is only useful in conjunction with
> * {@linkplain SecurityManager the Security Manager}, which is
> deprecated
> * and subject to removal in a future release. Consequently, this class
> * is also deprecated and subject to removal. There is no replacement
> for
> * the Security Manager or this class.
> */
> @Deprecated(since="17", forRemoval=true)
> public final class AccessControlContext { {code}
>
>
> `AccessControlContext` and `AccessController` are marked as deprecated in
> Java 17, with `forRemoval` set to true. From the Javadoc, it can be seen that
> they do not have corresponding replacements.
>
> In Spark, there are three files that use AccessControlContext or
> AccessController:
> 1.[https://github.com/apache/spark/blob/39cc4abaff73cb49f9d79d1d844fe5c9fa14c917/core/src/main/scala/org/apache/spark/serializer/SerializationDebugger.scala#L70-L73]
> {code:java}
> private[serializer] var enableDebugging: Boolean = {
> !AccessController.doPrivileged(new sun.security.action.GetBooleanAction(
> "sun.io.serialization.extendedDebugInfo")).booleanValue()
> } {code}
>
> 2.
> [https://github.com/apache/spark/blob/39cc4abaff73cb49f9d79d1d844fe5c9fa14c917/sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/TSubjectAssumingTransport.java#L42-L45]
>
> {code:java}
> public void open() throws TTransportException {
> try {
> AccessControlContext context = AccessController.getContext();
> Subject subject = Subject.getSubject(context);
> Subject.doAs(subject, (PrivilegedExceptionAction) () -> {
> try {
> wrapped.open();
> } catch (TTransportException tte) {
> // Wrap the transport exception in an RTE, since Subject.doAs()
> then goes
> // and unwraps this for us out of the doAs block. We then unwrap one
> // more time in our catch clause to get back the TTE. (ugh)
> throw new RuntimeException(tte);
> }
> return null;
> });
> } catch (PrivilegedActionException ioe) {
> throw new RuntimeException("Received an ioe we never threw!", ioe);
> } catch (RuntimeException rte) {
> if (rte.getCause() instanceof TTransportException) {
> throw (TTransportException) rte.getCause();
> } else {
> throw rte;
> }
> }
> } {code}
>
> 3.
> [https://github.com/apache/spark/blob/39cc4abaff73cb49f9d79d1d844fe5c9fa14c917/sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/HttpAuthUtils.java#L73]
>
> {code:java}
> public static String getKerberosServiceTicket(String principal, String host,
> String serverHttpUrl, boolean assumeSubject) throws Exception {
> String serverPrincipal =
> ShimLoader.getHadoopThriftAuthBridge().getServerPrincipal(principal,
> host);
> if (assumeSubject) {
> // With this option, we're assuming that the external application,
> // using the JDBC driver has done a JAAS kerberos login already
> AccessControlContext context = AccessController.getContext();
> Subject subject = Subject.getSubject(context);
> if (subject == null) {
> throw new Exception("The Subject is not set");
> }
> return Subject.doAs(subject, new
> HttpKerberosClientAction(serverPrincipal, serverHttpUrl));
> } else {
> // JAAS login from ticket cache to setup the client UserGroupInformation
> UserGroupInformation clientUGI =
>
> ShimLoader.getHadoopThriftAuthBridge().getCurrentUGIWithConf("kerberos");
> return clientUGI.doAs(new HttpKerberosClientAction(serverPrincipal,
> serverHttpUrl));
> }
> } {code}
>
>
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[jira] [Resolved] (SPARK-45482) Handle the usage of AccessControlContext and AccessController.
[
https://issues.apache.org/jira/browse/SPARK-45482?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Yang Jie resolved SPARK-45482.
--
Resolution: Won't Fix
> Handle the usage of AccessControlContext and AccessController.
> --
>
> Key: SPARK-45482
> URL: https://issues.apache.org/jira/browse/SPARK-45482
> Project: Spark
> Issue Type: Sub-task
> Components: Spark Core, SQL
>Affects Versions: 4.0.0
>Reporter: Yang Jie
>Priority: Minor
>
>
>
> {code:java}
> * @deprecated This class is only useful in conjunction with
> * {@linkplain SecurityManager the Security Manager}, which is
> deprecated
> * and subject to removal in a future release. Consequently, this class
> * is also deprecated and subject to removal. There is no replacement
> for
> * the Security Manager or this class.
> */
> @Deprecated(since="17", forRemoval=true)
> public final class AccessController {
> * @deprecated This class is only useful in conjunction with
> * {@linkplain SecurityManager the Security Manager}, which is
> deprecated
> * and subject to removal in a future release. Consequently, this class
> * is also deprecated and subject to removal. There is no replacement
> for
> * the Security Manager or this class.
> */
> @Deprecated(since="17", forRemoval=true)
> public final class AccessControlContext { {code}
>
>
> `AccessControlContext` and `AccessController` are marked as deprecated in
> Java 17, with `forRemoval` set to true. From the Javadoc, it can be seen that
> they do not have corresponding replacements.
>
> In Spark, there are three files that use AccessControlContext or
> AccessController:
> 1.[https://github.com/apache/spark/blob/39cc4abaff73cb49f9d79d1d844fe5c9fa14c917/core/src/main/scala/org/apache/spark/serializer/SerializationDebugger.scala#L70-L73]
> {code:java}
> private[serializer] var enableDebugging: Boolean = {
> !AccessController.doPrivileged(new sun.security.action.GetBooleanAction(
> "sun.io.serialization.extendedDebugInfo")).booleanValue()
> } {code}
>
> 2.
> [https://github.com/apache/spark/blob/39cc4abaff73cb49f9d79d1d844fe5c9fa14c917/sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/TSubjectAssumingTransport.java#L42-L45]
>
> {code:java}
> public void open() throws TTransportException {
> try {
> AccessControlContext context = AccessController.getContext();
> Subject subject = Subject.getSubject(context);
> Subject.doAs(subject, (PrivilegedExceptionAction) () -> {
> try {
> wrapped.open();
> } catch (TTransportException tte) {
> // Wrap the transport exception in an RTE, since Subject.doAs()
> then goes
> // and unwraps this for us out of the doAs block. We then unwrap one
> // more time in our catch clause to get back the TTE. (ugh)
> throw new RuntimeException(tte);
> }
> return null;
> });
> } catch (PrivilegedActionException ioe) {
> throw new RuntimeException("Received an ioe we never threw!", ioe);
> } catch (RuntimeException rte) {
> if (rte.getCause() instanceof TTransportException) {
> throw (TTransportException) rte.getCause();
> } else {
> throw rte;
> }
> }
> } {code}
>
> 3.
> [https://github.com/apache/spark/blob/39cc4abaff73cb49f9d79d1d844fe5c9fa14c917/sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/HttpAuthUtils.java#L73]
>
> {code:java}
> public static String getKerberosServiceTicket(String principal, String host,
> String serverHttpUrl, boolean assumeSubject) throws Exception {
> String serverPrincipal =
> ShimLoader.getHadoopThriftAuthBridge().getServerPrincipal(principal,
> host);
> if (assumeSubject) {
> // With this option, we're assuming that the external application,
> // using the JDBC driver has done a JAAS kerberos login already
> AccessControlContext context = AccessController.getContext();
> Subject subject = Subject.getSubject(context);
> if (subject == null) {
> throw new Exception("The Subject is not set");
> }
> return Subject.doAs(subject, new
> HttpKerberosClientAction(serverPrincipal, serverHttpUrl));
> } else {
> // JAAS login from ticket cache to setup the client UserGroupInformation
> UserGroupInformation clientUGI =
>
> ShimLoader.getHadoopThriftAuthBridge().getCurrentUGIWithConf("kerberos");
> return clientUGI.doAs(new HttpKerberosClientAction(serverPrincipal,
> serverHttpUrl));
> }
> } {code}
>
>
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[jira] [Updated] (SPARK-45497) Add a symbolic link file `spark-examples.jar` in K8s Docker images
[ https://issues.apache.org/jira/browse/SPARK-45497?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Dongjoon Hyun updated SPARK-45497: -- Summary: Add a symbolic link file `spark-examples.jar` in K8s Docker images (was: Add an symbolic link file `spark-examples.jar` in K8s Docker images) > Add a symbolic link file `spark-examples.jar` in K8s Docker images > -- > > Key: SPARK-45497 > URL: https://issues.apache.org/jira/browse/SPARK-45497 > Project: Spark > Issue Type: Improvement > Components: Kubernetes >Affects Versions: 4.0.0 >Reporter: Dongjoon Hyun >Priority: Major > Labels: pull-request-available > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Created] (SPARK-45497) Add an symbolic link file `spark-examples.jar` in K8s Docker images
Dongjoon Hyun created SPARK-45497: - Summary: Add an symbolic link file `spark-examples.jar` in K8s Docker images Key: SPARK-45497 URL: https://issues.apache.org/jira/browse/SPARK-45497 Project: Spark Issue Type: Improvement Components: Kubernetes Affects Versions: 4.0.0 Reporter: Dongjoon Hyun -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-45497) Add an symbolic link file `spark-examples.jar` in K8s Docker images
[ https://issues.apache.org/jira/browse/SPARK-45497?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] ASF GitHub Bot updated SPARK-45497: --- Labels: pull-request-available (was: ) > Add an symbolic link file `spark-examples.jar` in K8s Docker images > --- > > Key: SPARK-45497 > URL: https://issues.apache.org/jira/browse/SPARK-45497 > Project: Spark > Issue Type: Improvement > Components: Kubernetes >Affects Versions: 4.0.0 >Reporter: Dongjoon Hyun >Priority: Major > Labels: pull-request-available > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-42881) Codegen Support for get_json_object
[ https://issues.apache.org/jira/browse/SPARK-42881?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] ASF GitHub Bot updated SPARK-42881: --- Labels: pull-request-available (was: ) > Codegen Support for get_json_object > --- > > Key: SPARK-42881 > URL: https://issues.apache.org/jira/browse/SPARK-42881 > Project: Spark > Issue Type: Improvement > Components: SQL >Affects Versions: 3.5.0 >Reporter: BingKun Pan >Priority: Minor > Labels: pull-request-available > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-41730) `min` fails on the minimal timestamp
[
https://issues.apache.org/jira/browse/SPARK-41730?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
ASF GitHub Bot updated SPARK-41730:
---
Labels: pull-request-available (was: )
> `min` fails on the minimal timestamp
>
>
> Key: SPARK-41730
> URL: https://issues.apache.org/jira/browse/SPARK-41730
> Project: Spark
> Issue Type: Bug
> Components: PySpark
>Affects Versions: 3.4.0
>Reporter: Max Gekk
>Assignee: Max Gekk
>Priority: Major
> Labels: pull-request-available
>
> The code below demonstrates the issue:
> {code:python}
> >>> from datetime import datetime, timezone
> >>> from pyspark.sql.types import TimestampType
> >>> from pyspark.sql import functions as F
> >>> ts = spark.createDataFrame([datetime(1, 1, 1, 0, 0, 0, 0,
> >>> tzinfo=timezone.utc)], TimestampType()).toDF("test_column")
> >>> ts.select(F.min('test_column')).first()[0]
> Traceback (most recent call last):
> File "", line 1, in
> File "/Users/maximgekk/proj/apache-spark/python/pyspark/sql/dataframe.py",
> line 2762, in first
> return self.head()
> File "/Users/maximgekk/proj/apache-spark/python/pyspark/sql/dataframe.py",
> line 2738, in head
> rs = self.head(1)
> File "/Users/maximgekk/proj/apache-spark/python/pyspark/sql/dataframe.py",
> line 2740, in head
> return self.take(n)
> File "/Users/maximgekk/proj/apache-spark/python/pyspark/sql/dataframe.py",
> line 1297, in take
> return self.limit(num).collect()
> File "/Users/maximgekk/proj/apache-spark/python/pyspark/sql/dataframe.py",
> line 1198, in collect
> return list(_load_from_socket(sock_info,
> BatchedSerializer(CPickleSerializer(
> File "/Users/maximgekk/proj/apache-spark/python/pyspark/serializers.py",
> line 152, in load_stream
> yield self._read_with_length(stream)
> File "/Users/maximgekk/proj/apache-spark/python/pyspark/serializers.py",
> line 174, in _read_with_length
> return self.loads(obj)
> File "/Users/maximgekk/proj/apache-spark/python/pyspark/serializers.py",
> line 472, in loads
> return cloudpickle.loads(obj, encoding=encoding)
> File "/Users/maximgekk/proj/apache-spark/python/pyspark/sql/types.py", line
> 2010, in
> return lambda *a: dataType.fromInternal(a)
> File "/Users/maximgekk/proj/apache-spark/python/pyspark/sql/types.py", line
> 1018, in fromInternal
> values = [
> File "/Users/maximgekk/proj/apache-spark/python/pyspark/sql/types.py", line
> 1019, in
> f.fromInternal(v) if c else v
> File "/Users/maximgekk/proj/apache-spark/python/pyspark/sql/types.py", line
> 667, in fromInternal
> return self.dataType.fromInternal(obj)
> File "/Users/maximgekk/proj/apache-spark/python/pyspark/sql/types.py", line
> 279, in fromInternal
> return datetime.datetime.fromtimestamp(ts //
> 100).replace(microsecond=ts % 100)
> ValueError: year 0 is out of range
> {code}
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[jira] [Commented] (SPARK-45482) Handle the usage of AccessControlContext and AccessController.
[
https://issues.apache.org/jira/browse/SPARK-45482?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17773892#comment-17773892
]
Dongjoon Hyun commented on SPARK-45482:
---
Actually, I'm not sure about those three cases. Why don't we keep them for now
because Java 21 keeps them still, [~LuciferYang] ?
> Handle the usage of AccessControlContext and AccessController.
> --
>
> Key: SPARK-45482
> URL: https://issues.apache.org/jira/browse/SPARK-45482
> Project: Spark
> Issue Type: Sub-task
> Components: Spark Core, SQL
>Affects Versions: 4.0.0
>Reporter: Yang Jie
>Priority: Minor
>
>
>
> {code:java}
> * @deprecated This class is only useful in conjunction with
> * {@linkplain SecurityManager the Security Manager}, which is
> deprecated
> * and subject to removal in a future release. Consequently, this class
> * is also deprecated and subject to removal. There is no replacement
> for
> * the Security Manager or this class.
> */
> @Deprecated(since="17", forRemoval=true)
> public final class AccessController {
> * @deprecated This class is only useful in conjunction with
> * {@linkplain SecurityManager the Security Manager}, which is
> deprecated
> * and subject to removal in a future release. Consequently, this class
> * is also deprecated and subject to removal. There is no replacement
> for
> * the Security Manager or this class.
> */
> @Deprecated(since="17", forRemoval=true)
> public final class AccessControlContext { {code}
>
>
> `AccessControlContext` and `AccessController` are marked as deprecated in
> Java 17, with `forRemoval` set to true. From the Javadoc, it can be seen that
> they do not have corresponding replacements.
>
> In Spark, there are three files that use AccessControlContext or
> AccessController:
> 1.[https://github.com/apache/spark/blob/39cc4abaff73cb49f9d79d1d844fe5c9fa14c917/core/src/main/scala/org/apache/spark/serializer/SerializationDebugger.scala#L70-L73]
> {code:java}
> private[serializer] var enableDebugging: Boolean = {
> !AccessController.doPrivileged(new sun.security.action.GetBooleanAction(
> "sun.io.serialization.extendedDebugInfo")).booleanValue()
> } {code}
>
> 2.
> [https://github.com/apache/spark/blob/39cc4abaff73cb49f9d79d1d844fe5c9fa14c917/sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/TSubjectAssumingTransport.java#L42-L45]
>
> {code:java}
> public void open() throws TTransportException {
> try {
> AccessControlContext context = AccessController.getContext();
> Subject subject = Subject.getSubject(context);
> Subject.doAs(subject, (PrivilegedExceptionAction) () -> {
> try {
> wrapped.open();
> } catch (TTransportException tte) {
> // Wrap the transport exception in an RTE, since Subject.doAs()
> then goes
> // and unwraps this for us out of the doAs block. We then unwrap one
> // more time in our catch clause to get back the TTE. (ugh)
> throw new RuntimeException(tte);
> }
> return null;
> });
> } catch (PrivilegedActionException ioe) {
> throw new RuntimeException("Received an ioe we never threw!", ioe);
> } catch (RuntimeException rte) {
> if (rte.getCause() instanceof TTransportException) {
> throw (TTransportException) rte.getCause();
> } else {
> throw rte;
> }
> }
> } {code}
>
> 3.
> [https://github.com/apache/spark/blob/39cc4abaff73cb49f9d79d1d844fe5c9fa14c917/sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/HttpAuthUtils.java#L73]
>
> {code:java}
> public static String getKerberosServiceTicket(String principal, String host,
> String serverHttpUrl, boolean assumeSubject) throws Exception {
> String serverPrincipal =
> ShimLoader.getHadoopThriftAuthBridge().getServerPrincipal(principal,
> host);
> if (assumeSubject) {
> // With this option, we're assuming that the external application,
> // using the JDBC driver has done a JAAS kerberos login already
> AccessControlContext context = AccessController.getContext();
> Subject subject = Subject.getSubject(context);
> if (subject == null) {
> throw new Exception("The Subject is not set");
> }
> return Subject.doAs(subject, new
> HttpKerberosClientAction(serverPrincipal, serverHttpUrl));
> } else {
> // JAAS login from ticket cache to setup the client UserGroupInformation
> UserGroupInformation clientUGI =
>
> ShimLoader.getHadoopThriftAuthBridge().getCurrentUGIWithConf("kerberos");
> return clientUGI.doAs(new HttpKerberosClientAction(serverPrincipal,
> serverHttpUrl));
> }
> } {code}
>
>
--
[jira] [Comment Edited] (SPARK-45482) Handle the usage of AccessControlContext and AccessController.
[
https://issues.apache.org/jira/browse/SPARK-45482?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17773892#comment-17773892
]
Dongjoon Hyun edited comment on SPARK-45482 at 10/11/23 4:15 AM:
-
Actually, I'm not sure about those three cases. Yes, let's keep them for now
because Java 21 keeps them still, [~LuciferYang] .
was (Author: dongjoon):
Actually, I'm not sure about those three cases. Why don't we keep them for now
because Java 21 keeps them still, [~LuciferYang] ?
> Handle the usage of AccessControlContext and AccessController.
> --
>
> Key: SPARK-45482
> URL: https://issues.apache.org/jira/browse/SPARK-45482
> Project: Spark
> Issue Type: Sub-task
> Components: Spark Core, SQL
>Affects Versions: 4.0.0
>Reporter: Yang Jie
>Priority: Minor
>
>
>
> {code:java}
> * @deprecated This class is only useful in conjunction with
> * {@linkplain SecurityManager the Security Manager}, which is
> deprecated
> * and subject to removal in a future release. Consequently, this class
> * is also deprecated and subject to removal. There is no replacement
> for
> * the Security Manager or this class.
> */
> @Deprecated(since="17", forRemoval=true)
> public final class AccessController {
> * @deprecated This class is only useful in conjunction with
> * {@linkplain SecurityManager the Security Manager}, which is
> deprecated
> * and subject to removal in a future release. Consequently, this class
> * is also deprecated and subject to removal. There is no replacement
> for
> * the Security Manager or this class.
> */
> @Deprecated(since="17", forRemoval=true)
> public final class AccessControlContext { {code}
>
>
> `AccessControlContext` and `AccessController` are marked as deprecated in
> Java 17, with `forRemoval` set to true. From the Javadoc, it can be seen that
> they do not have corresponding replacements.
>
> In Spark, there are three files that use AccessControlContext or
> AccessController:
> 1.[https://github.com/apache/spark/blob/39cc4abaff73cb49f9d79d1d844fe5c9fa14c917/core/src/main/scala/org/apache/spark/serializer/SerializationDebugger.scala#L70-L73]
> {code:java}
> private[serializer] var enableDebugging: Boolean = {
> !AccessController.doPrivileged(new sun.security.action.GetBooleanAction(
> "sun.io.serialization.extendedDebugInfo")).booleanValue()
> } {code}
>
> 2.
> [https://github.com/apache/spark/blob/39cc4abaff73cb49f9d79d1d844fe5c9fa14c917/sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/TSubjectAssumingTransport.java#L42-L45]
>
> {code:java}
> public void open() throws TTransportException {
> try {
> AccessControlContext context = AccessController.getContext();
> Subject subject = Subject.getSubject(context);
> Subject.doAs(subject, (PrivilegedExceptionAction) () -> {
> try {
> wrapped.open();
> } catch (TTransportException tte) {
> // Wrap the transport exception in an RTE, since Subject.doAs()
> then goes
> // and unwraps this for us out of the doAs block. We then unwrap one
> // more time in our catch clause to get back the TTE. (ugh)
> throw new RuntimeException(tte);
> }
> return null;
> });
> } catch (PrivilegedActionException ioe) {
> throw new RuntimeException("Received an ioe we never threw!", ioe);
> } catch (RuntimeException rte) {
> if (rte.getCause() instanceof TTransportException) {
> throw (TTransportException) rte.getCause();
> } else {
> throw rte;
> }
> }
> } {code}
>
> 3.
> [https://github.com/apache/spark/blob/39cc4abaff73cb49f9d79d1d844fe5c9fa14c917/sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/HttpAuthUtils.java#L73]
>
> {code:java}
> public static String getKerberosServiceTicket(String principal, String host,
> String serverHttpUrl, boolean assumeSubject) throws Exception {
> String serverPrincipal =
> ShimLoader.getHadoopThriftAuthBridge().getServerPrincipal(principal,
> host);
> if (assumeSubject) {
> // With this option, we're assuming that the external application,
> // using the JDBC driver has done a JAAS kerberos login already
> AccessControlContext context = AccessController.getContext();
> Subject subject = Subject.getSubject(context);
> if (subject == null) {
> throw new Exception("The Subject is not set");
> }
> return Subject.doAs(subject, new
> HttpKerberosClientAction(serverPrincipal, serverHttpUrl));
> } else {
> // JAAS login from ticket cache to setup the client UserGroupInformation
> UserGroupInformation clientUGI =
>
>
[jira] [Updated] (SPARK-45468) More transparent proxy handling for HTTP redirects
[ https://issues.apache.org/jira/browse/SPARK-45468?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Nobuaki Sukegawa updated SPARK-45468: - Description: Currently, proxies can be made transparent for hyperlinks in Spark web UIs with spark.ui.proxyRoot or X-Forwarded-Context header alone. However, HTTP redirects (such as job/stage kill) currently requires explicit spark.ui.proxyRedirectUri as well for handling proxy. This is not ideal as proxy hostname may not be known at the time configuring Spark apps. This can be mitigated by 1) always prepending spark.ui.proxyRoot to redirect path for those proxies that intelligently rewrite Location headers and 2) by using path without hostname (/jobs/, not [https://example.com/jobs/]) for those proxies without Location header rewrites. Then redirects behavior would be basically the same way as other hyperlinks. h2. Example Let's say proxy URL is [https://example.org/sparkui/]... forwarding to [http://drv.svc/]... and spark.ui.proxyRoot is configured to be /sparkui h3. Existing behavior (without spark.ui.proxyRedirectUri) job/stage kill links redirects to [http://drv.svc/jobs/] - likely 404 (other hyperlinks are to paths with prefix, e.g., /sparkui/executors - works fine) h3. After the change 2) links redirects to /sparkui/jobs/ - works fine also consistent with other hyperlinks NOTE: while hostname was originally required in RFC 2616 in 1999, since RFC 7231 in 2014 hostname can be formally omitted as most browsers already supported it (it is rather hard to find any browser that doesn't support it). was: Currently, proxies can be made transparent for hyperlinks in Spark web UIs with spark.ui.proxyRoot or X-Forwarded-Context header alone. However, HTTP redirects (such as job/stage kill) currently requires explicit spark.ui.proxyRedirectUri as well for handling proxy. This is not ideal as proxy hostname may not be known at the time configuring Spark apps. This can be mitigated by 1) always prepending spark.ui.proxyRoot to redirect path for those proxies that intelligently rewrite Location headers and 2) by using path without hostname (/jobs/, not https://example.com/jobs/) for those proxies without Location header rewrites. Then redirects behavior would be basically the same way as other hyperlinks. Regarding 2), while hostname was originally required in RFC 2616 in 1999, since RFC 7231 in 2014 hostname can be formally omitted as most browsers already supported it (it is rather hard to find any browser that doesn't support it). > More transparent proxy handling for HTTP redirects > -- > > Key: SPARK-45468 > URL: https://issues.apache.org/jira/browse/SPARK-45468 > Project: Spark > Issue Type: Improvement > Components: Web UI >Affects Versions: 3.5.0 >Reporter: Nobuaki Sukegawa >Priority: Major > Labels: pull-request-available > > Currently, proxies can be made transparent for hyperlinks in Spark web UIs > with spark.ui.proxyRoot or X-Forwarded-Context header alone. However, HTTP > redirects (such as job/stage kill) currently requires explicit > spark.ui.proxyRedirectUri as well for handling proxy. This is not ideal as > proxy hostname may not be known at the time configuring Spark apps. > This can be mitigated by 1) always prepending spark.ui.proxyRoot to redirect > path for those proxies that intelligently rewrite Location headers and 2) by > using path without hostname (/jobs/, not [https://example.com/jobs/]) for > those proxies without Location header rewrites. Then redirects behavior would > be basically the same way as other hyperlinks. > h2. Example > Let's say proxy URL is [https://example.org/sparkui/]... forwarding to > [http://drv.svc/]... > and spark.ui.proxyRoot is configured to be /sparkui > h3. Existing behavior (without spark.ui.proxyRedirectUri) > job/stage kill links redirects to [http://drv.svc/jobs/] - likely 404 > (other hyperlinks are to paths with prefix, e.g., /sparkui/executors - works > fine) > h3. After the change 2) > links redirects to /sparkui/jobs/ - works fine > also consistent with other hyperlinks > NOTE: while hostname was originally required in RFC 2616 in 1999, since RFC > 7231 in 2014 hostname can be formally omitted as most browsers already > supported it (it is rather hard to find any browser that doesn't support it). -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-45494) Introduce read/write a byte array util functions for PythonWorkerUtils
[ https://issues.apache.org/jira/browse/SPARK-45494?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Dongjoon Hyun reassigned SPARK-45494: - Assignee: Takuya Ueshin > Introduce read/write a byte array util functions for PythonWorkerUtils > -- > > Key: SPARK-45494 > URL: https://issues.apache.org/jira/browse/SPARK-45494 > Project: Spark > Issue Type: Improvement > Components: PySpark >Affects Versions: 4.0.0 >Reporter: Takuya Ueshin >Assignee: Takuya Ueshin >Priority: Major > Labels: pull-request-available > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Resolved] (SPARK-45494) Introduce read/write a byte array util functions for PythonWorkerUtils
[ https://issues.apache.org/jira/browse/SPARK-45494?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Dongjoon Hyun resolved SPARK-45494. --- Fix Version/s: 4.0.0 Resolution: Fixed Issue resolved by pull request 43321 [https://github.com/apache/spark/pull/43321] > Introduce read/write a byte array util functions for PythonWorkerUtils > -- > > Key: SPARK-45494 > URL: https://issues.apache.org/jira/browse/SPARK-45494 > Project: Spark > Issue Type: Improvement > Components: PySpark >Affects Versions: 4.0.0 >Reporter: Takuya Ueshin >Assignee: Takuya Ueshin >Priority: Major > Labels: pull-request-available > Fix For: 4.0.0 > > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Resolved] (SPARK-45310) Mapstatus location type changed from external shuffle service to executor after decommission migration
[ https://issues.apache.org/jira/browse/SPARK-45310?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Dongjoon Hyun resolved SPARK-45310. --- Fix Version/s: 4.0.0 Resolution: Fixed Issue resolved by pull request 43112 [https://github.com/apache/spark/pull/43112] > Mapstatus location type changed from external shuffle service to executor > after decommission migration > -- > > Key: SPARK-45310 > URL: https://issues.apache.org/jira/browse/SPARK-45310 > Project: Spark > Issue Type: Improvement > Components: Spark Core >Affects Versions: 3.0.3, 3.1.3, 3.2.4, 3.3.2, 3.4.1, 3.5.0 >Reporter: wuyi >Assignee: wuyi >Priority: Major > Labels: pull-request-available > Fix For: 4.0.0 > > > When migrating shuffle blocks during decommission, the updated mapstatus > location doesn't respect the external shuffle service location when external > shuffle service is enabled. -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Created] (SPARK-45496) Fix the compilation warning related to other-pure-statement
Yang Jie created SPARK-45496:
Summary: Fix the compilation warning related to
other-pure-statement
Key: SPARK-45496
URL: https://issues.apache.org/jira/browse/SPARK-45496
Project: Spark
Issue Type: Sub-task
Components: DStreams, Spark Core
Affects Versions: 4.0.0
Reporter: Yang Jie
{code:java}
"-Wconf:cat=other-match-analysis=org.apache.spark.sql.catalyst.catalog.SessionCatalog.lookupFunction.catalogFunction:wv",
"-Wconf:cat=other-pure-statement=org.apache.spark.streaming.util.FileBasedWriteAheadLog.readAll.readFile:wv",
"-Wconf:cat=other-pure-statement=org.apache.spark.scheduler.OutputCommitCoordinatorSuite:wv",
"-Wconf:cat=other-pure-statement=org.apache.spark.sql.streaming.sources.StreamingDataSourceV2Suite.testPositiveCase.\\$anonfun:wv",
{code}
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[jira] [Resolved] (SPARK-45416) Sanity check that Spark Connect returns arrow batches in order
[ https://issues.apache.org/jira/browse/SPARK-45416?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Hyukjin Kwon resolved SPARK-45416. -- Fix Version/s: 4.0.0 Resolution: Fixed Issue resolved by pull request 43219 [https://github.com/apache/spark/pull/43219] > Sanity check that Spark Connect returns arrow batches in order > -- > > Key: SPARK-45416 > URL: https://issues.apache.org/jira/browse/SPARK-45416 > Project: Spark > Issue Type: Improvement > Components: Connect >Affects Versions: 4.0.0 >Reporter: Juliusz Sompolski >Assignee: Juliusz Sompolski >Priority: Major > Labels: pull-request-available > Fix For: 4.0.0 > > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-45416) Sanity check that Spark Connect returns arrow batches in order
[ https://issues.apache.org/jira/browse/SPARK-45416?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Hyukjin Kwon reassigned SPARK-45416: Assignee: Juliusz Sompolski > Sanity check that Spark Connect returns arrow batches in order > -- > > Key: SPARK-45416 > URL: https://issues.apache.org/jira/browse/SPARK-45416 > Project: Spark > Issue Type: Improvement > Components: Connect >Affects Versions: 4.0.0 >Reporter: Juliusz Sompolski >Assignee: Juliusz Sompolski >Priority: Major > Labels: pull-request-available > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-45473) Incorrect error message for RoundBase
[ https://issues.apache.org/jira/browse/SPARK-45473?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Dongjoon Hyun reassigned SPARK-45473: - Assignee: L. C. Hsieh > Incorrect error message for RoundBase > - > > Key: SPARK-45473 > URL: https://issues.apache.org/jira/browse/SPARK-45473 > Project: Spark > Issue Type: Bug > Components: SQL >Affects Versions: 3.4.1, 3.5.0 >Reporter: L. C. Hsieh >Assignee: L. C. Hsieh >Priority: Minor > Labels: pull-request-available > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Resolved] (SPARK-45473) Incorrect error message for RoundBase
[ https://issues.apache.org/jira/browse/SPARK-45473?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Dongjoon Hyun resolved SPARK-45473. --- Fix Version/s: 3.5.1 4.0.0 3.4.2 Resolution: Fixed Issue resolved by pull request 43316 [https://github.com/apache/spark/pull/43316] > Incorrect error message for RoundBase > - > > Key: SPARK-45473 > URL: https://issues.apache.org/jira/browse/SPARK-45473 > Project: Spark > Issue Type: Bug > Components: SQL >Affects Versions: 3.4.1, 3.5.0 >Reporter: L. C. Hsieh >Assignee: L. C. Hsieh >Priority: Minor > Labels: pull-request-available > Fix For: 3.5.1, 4.0.0, 3.4.2 > > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Resolved] (SPARK-45464) [CORE] Fix yarn distribution build
[ https://issues.apache.org/jira/browse/SPARK-45464?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Yang Jie resolved SPARK-45464. -- Fix Version/s: 4.0.0 Resolution: Fixed Issue resolved by pull request 43289 [https://github.com/apache/spark/pull/43289] > [CORE] Fix yarn distribution build > -- > > Key: SPARK-45464 > URL: https://issues.apache.org/jira/browse/SPARK-45464 > Project: Spark > Issue Type: Bug > Components: Spark Core, YARN >Affects Versions: 4.0.0 >Reporter: Hasnain Lakhani >Assignee: Hasnain Lakhani >Priority: Major > Labels: pull-request-available > Fix For: 4.0.0 > > > [https://github.com/apache/spark/pull/43164] introduced a regression in: > > ``` > ./dev/make-distribution.sh --tgz -Phive -Phive-thriftserver -Pyarn > ``` > > this needs to be fixed -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-45464) [CORE] Fix yarn distribution build
[ https://issues.apache.org/jira/browse/SPARK-45464?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Yang Jie reassigned SPARK-45464: Assignee: Hasnain Lakhani > [CORE] Fix yarn distribution build > -- > > Key: SPARK-45464 > URL: https://issues.apache.org/jira/browse/SPARK-45464 > Project: Spark > Issue Type: Bug > Components: Spark Core, YARN >Affects Versions: 4.0.0 >Reporter: Hasnain Lakhani >Assignee: Hasnain Lakhani >Priority: Major > Labels: pull-request-available > > [https://github.com/apache/spark/pull/43164] introduced a regression in: > > ``` > ./dev/make-distribution.sh --tgz -Phive -Phive-thriftserver -Pyarn > ``` > > this needs to be fixed -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Created] (SPARK-45495) Support stage level task resource profile for k8s cluster when dynamic allocation disabled
Bobby Wang created SPARK-45495: -- Summary: Support stage level task resource profile for k8s cluster when dynamic allocation disabled Key: SPARK-45495 URL: https://issues.apache.org/jira/browse/SPARK-45495 Project: Spark Issue Type: Improvement Components: Spark Core Affects Versions: 3.4.1 Reporter: Bobby Wang Assignee: Bobby Wang Fix For: 4.0.0, 3.5.1 [https://github.com/apache/spark/pull/37268] has introduced a new feature that supports stage-level schedule task resource profile for standalone cluster when dynamic allocation is disabled. It's really cool feature, especially for ML/DL cases, more details can be found in that PR. The problem here is that the feature is only available for standalone cluster for now, but most users would also expect it can be used for other spark clusters like yarn and k8s. So I file this issue to track this task. -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-45495) Support stage level task resource profile for k8s cluster when dynamic allocation disabled
[ https://issues.apache.org/jira/browse/SPARK-45495?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Bobby Wang updated SPARK-45495: --- Description: [https://github.com/apache/spark/pull/37268] has introduced a new feature that supports stage-level schedule task resource profile for standalone cluster when dynamic allocation is disabled. It's really cool feature, especially for ML/DL cases, more details can be found in that PR. The problem here is that the feature is only available for standalone and YARN cluster for now, but most users would also expect it can be used for other spark clusters like K8s. So I filed this issue to track this task. was: [https://github.com/apache/spark/pull/37268] has introduced a new feature that supports stage-level schedule task resource profile for standalone cluster when dynamic allocation is disabled. It's really cool feature, especially for ML/DL cases, more details can be found in that PR. The problem here is that the feature is only available for standalone cluster for now, but most users would also expect it can be used for other spark clusters like yarn and k8s. So I file this issue to track this task. > Support stage level task resource profile for k8s cluster when dynamic > allocation disabled > -- > > Key: SPARK-45495 > URL: https://issues.apache.org/jira/browse/SPARK-45495 > Project: Spark > Issue Type: Improvement > Components: Spark Core >Affects Versions: 3.4.1 >Reporter: Bobby Wang >Assignee: Bobby Wang >Priority: Major > Labels: pull-request-available > Fix For: 4.0.0, 3.5.1 > > > [https://github.com/apache/spark/pull/37268] has introduced a new feature > that supports stage-level schedule task resource profile for standalone > cluster when dynamic allocation is disabled. It's really cool feature, > especially for ML/DL cases, more details can be found in that PR. > > The problem here is that the feature is only available for standalone and > YARN cluster for now, but most users would also expect it can be used for > other spark clusters like K8s. > > So I filed this issue to track this task. -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-43828) Add config to control whether close idle connection
[ https://issues.apache.org/jira/browse/SPARK-43828?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] ASF GitHub Bot updated SPARK-43828: --- Labels: pull-request-available (was: ) > Add config to control whether close idle connection > --- > > Key: SPARK-43828 > URL: https://issues.apache.org/jira/browse/SPARK-43828 > Project: Spark > Issue Type: Improvement > Components: Spark Core >Affects Versions: 3.4.0 >Reporter: Zhongwei Zhu >Priority: Minor > Labels: pull-request-available > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-45494) Introduce read/write a byte array util functions for PythonWorkerUtils
[ https://issues.apache.org/jira/browse/SPARK-45494?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] ASF GitHub Bot updated SPARK-45494: --- Labels: pull-request-available (was: ) > Introduce read/write a byte array util functions for PythonWorkerUtils > -- > > Key: SPARK-45494 > URL: https://issues.apache.org/jira/browse/SPARK-45494 > Project: Spark > Issue Type: Improvement > Components: PySpark >Affects Versions: 4.0.0 >Reporter: Takuya Ueshin >Priority: Major > Labels: pull-request-available > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Created] (SPARK-45494) Introduce read/write a byte array util functions for PythonWorkerUtils
Takuya Ueshin created SPARK-45494: - Summary: Introduce read/write a byte array util functions for PythonWorkerUtils Key: SPARK-45494 URL: https://issues.apache.org/jira/browse/SPARK-45494 Project: Spark Issue Type: Improvement Components: PySpark Affects Versions: 4.0.0 Reporter: Takuya Ueshin -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Created] (SPARK-45493) Replace: _LEGACY_ERROR_TEMP_2187 with a better error message
Serge Rielau created SPARK-45493:
Summary: Replace: _LEGACY_ERROR_TEMP_2187 with a better error
message
Key: SPARK-45493
URL: https://issues.apache.org/jira/browse/SPARK-45493
Project: Spark
Issue Type: Improvement
Components: Spark Core
Affects Versions: 4.0.0
Reporter: Serge Rielau
{code:java}
def convertHiveTableToCatalogTableError(
e: SparkException, dbName: String, tableName: String): Throwable = {
new SparkException(
errorClass = "_LEGACY_ERROR_TEMP_2187",
messageParameters = Map(
"message" -> e.getMessage,
"dbName" -> dbName,
"tableName" -> tableName),
cause = e)
} {code}
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[jira] [Created] (SPARK-45492) Replace: _LEGACY_ERROR_TEMP_2152 with a better error class
Serge Rielau created SPARK-45492:
Summary: Replace: _LEGACY_ERROR_TEMP_2152 with a better error class
Key: SPARK-45492
URL: https://issues.apache.org/jira/browse/SPARK-45492
Project: Spark
Issue Type: Improvement
Components: Spark Core
Affects Versions: 4.0.0
Reporter: Serge Rielau
{code:java}
def expressionEncodingError(e: Exception, expressions: Seq[Expression]):
SparkRuntimeException = {
new SparkRuntimeException(
errorClass = "_LEGACY_ERROR_TEMP_2152",
messageParameters = Map(
"e" -> e.toString(),
"expressions" -> expressions.map(
_.simpleString(SQLConf.get.maxToStringFields)).mkString("\n")),
cause = e)
} {code}
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[jira] [Created] (SPARK-45491) Replace: _LEGACY_ERROR_TEMP_2196 with a better error class
Serge Rielau created SPARK-45491:
Summary: Replace: _LEGACY_ERROR_TEMP_2196 with a better error class
Key: SPARK-45491
URL: https://issues.apache.org/jira/browse/SPARK-45491
Project: Spark
Issue Type: Improvement
Components: Spark Core
Affects Versions: 4.0.0
Reporter: Serge Rielau
{code:java}
def cannotFetchTablesOfDatabaseError(dbName: String, e: Exception): Throwable =
{
new SparkException(
errorClass = "_LEGACY_ERROR_TEMP_2196",
messageParameters = Map(
"dbName" -> dbName),
cause = e)
} {code}
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[jira] [Created] (SPARK-45490) Replace: _LEGACY_ERROR_TEMP_2151 with a proper error class
Serge Rielau created SPARK-45490:
Summary: Replace: _LEGACY_ERROR_TEMP_2151 with a proper error class
Key: SPARK-45490
URL: https://issues.apache.org/jira/browse/SPARK-45490
Project: Spark
Issue Type: Improvement
Components: Spark Core
Affects Versions: 4.0.0
Reporter: Serge Rielau
{code:java}
def expressionDecodingError(e: Exception, expressions: Seq[Expression]):
SparkRuntimeException = {
new SparkRuntimeException(
errorClass = "_LEGACY_ERROR_TEMP_2151",
messageParameters = Map(
"e" -> e.toString(),
"expressions" -> expressions.map(
_.simpleString(SQLConf.get.maxToStringFields)).mkString("\n")),
cause = e)
} {code}
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[jira] [Created] (SPARK-45489) Replace: _LEGACY_ERROR_TEMP_2134 with a regular error class
Serge Rielau created SPARK-45489:
Summary: Replace: _LEGACY_ERROR_TEMP_2134 with a regular error
class
Key: SPARK-45489
URL: https://issues.apache.org/jira/browse/SPARK-45489
Project: Spark
Issue Type: Improvement
Components: Spark Core
Affects Versions: 4.0.0
Reporter: Serge Rielau
This is a frequently seen error we should convert:
def cannotParseStringAsDataTypeError(pattern: String, value: String, dataType:
DataType)
: SparkRuntimeException = {
new SparkRuntimeException(
errorClass = "_LEGACY_ERROR_TEMP_2134",
messageParameters = Map(
"value" -> toSQLValue(value),
"pattern" -> toSQLValue(pattern),
"dataType" -> dataType.toString))
}
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[jira] [Updated] (SPARK-45488) XML: Add support for value in 'rowTag' element
[
https://issues.apache.org/jira/browse/SPARK-45488?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
ASF GitHub Bot updated SPARK-45488:
---
Labels: pull-request-available (was: )
> XML: Add support for value in 'rowTag' element
> --
>
> Key: SPARK-45488
> URL: https://issues.apache.org/jira/browse/SPARK-45488
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
>Affects Versions: 4.0.0
>Reporter: Sandip Agarwala
>Priority: Major
> Labels: pull-request-available
>
> The following XML with rowTag 'book' will yield a schema with just "_id"
> column and not the value:
>
> {code:java}
> Great Book{code}
> Let's parse value as well.
>
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[jira] [Created] (SPARK-45488) XML: Add support for value in 'rowTag' element
Sandip Agarwala created SPARK-45488:
---
Summary: XML: Add support for value in 'rowTag' element
Key: SPARK-45488
URL: https://issues.apache.org/jira/browse/SPARK-45488
Project: Spark
Issue Type: Sub-task
Components: SQL
Affects Versions: 4.0.0
Reporter: Sandip Agarwala
The following XML with rowTag 'book' will yield a schema with just "_id" column
and not the value:
{code:java}
Great Book{code}
Let's parse value as well.
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[jira] [Updated] (SPARK-44076) SPIP: Python Data Source API
[
https://issues.apache.org/jira/browse/SPARK-44076?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Allison Wang updated SPARK-44076:
-
Affects Version/s: 4.0.0
(was: 3.5.0)
> SPIP: Python Data Source API
>
>
> Key: SPARK-44076
> URL: https://issues.apache.org/jira/browse/SPARK-44076
> Project: Spark
> Issue Type: New Feature
> Components: PySpark
>Affects Versions: 4.0.0
>Reporter: Allison Wang
>Priority: Major
>
> This proposal aims to introduce a simple API in Python for Data Sources. The
> idea is to enable Python developers to create data sources without having to
> learn Scala or deal with the complexities of the current data source APIs.
> The goal is to make a Python-based API that is simple and easy to use, thus
> making Spark more accessible to the wider Python developer community. This
> proposed approach is based on the recently introduced Python user-defined
> table functions (SPARK-43797) with extensions to support data sources.
> {*}SPIP{*}:
> [https://docs.google.com/document/d/1oYrCKEKHzznljYfJO4kx5K_Npcgt1Slyfph3NEk7JRU/edit?usp=sharing]
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[jira] [Updated] (SPARK-45486) [CONNECT][SCALA] Update user agent to recognize SPARK_CONNECT_USER_AGENT and include environment specific attributes
[ https://issues.apache.org/jira/browse/SPARK-45486?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] ASF GitHub Bot updated SPARK-45486: --- Labels: pull-request-available (was: ) > [CONNECT][SCALA] Update user agent to recognize SPARK_CONNECT_USER_AGENT and > include environment specific attributes > > > Key: SPARK-45486 > URL: https://issues.apache.org/jira/browse/SPARK-45486 > Project: Spark > Issue Type: Improvement > Components: Connect >Affects Versions: 3.5.0 >Reporter: Robert Dillitz >Priority: Major > Labels: pull-request-available > > Similar to the [Python > client,|https://github.com/apache/spark/blob/2cc1ee4d3a05a641d7a245f015ef824d8f7bae8b/python/pyspark/sql/connect/client/core.py#L284] > the Scala client should: > # Recognize SPARK_CONNECT_USER_AGENT env variable > # Always include the OS, Java version, Scala version, and Spark version -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Resolved] (SPARK-45477) Use `matrix.java/inputs.java` to replace the hardcoded Java version in `test results/unit tests log` naming
[ https://issues.apache.org/jira/browse/SPARK-45477?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Dongjoon Hyun resolved SPARK-45477. --- Fix Version/s: 4.0.0 Resolution: Fixed Issue resolved by pull request 43305 [https://github.com/apache/spark/pull/43305] > Use `matrix.java/inputs.java` to replace the hardcoded Java version in `test > results/unit tests log` naming > --- > > Key: SPARK-45477 > URL: https://issues.apache.org/jira/browse/SPARK-45477 > Project: Spark > Issue Type: Improvement > Components: Project Infra >Affects Versions: 4.0.0 >Reporter: Yang Jie >Assignee: Yang Jie >Priority: Minor > Labels: pull-request-available > Fix For: 4.0.0 > > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-45477) Use `matrix.java/inputs.java` to replace the hardcoded Java version in `test results/unit tests log` naming
[ https://issues.apache.org/jira/browse/SPARK-45477?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Dongjoon Hyun reassigned SPARK-45477: - Assignee: Yang Jie > Use `matrix.java/inputs.java` to replace the hardcoded Java version in `test > results/unit tests log` naming > --- > > Key: SPARK-45477 > URL: https://issues.apache.org/jira/browse/SPARK-45477 > Project: Spark > Issue Type: Improvement > Components: Project Infra >Affects Versions: 4.0.0 >Reporter: Yang Jie >Assignee: Yang Jie >Priority: Minor > Labels: pull-request-available > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Created] (SPARK-45487) Replace: _LEGACY_ERROR_TEMP_3007
Serge Rielau created SPARK-45487:
Summary: Replace: _LEGACY_ERROR_TEMP_3007
Key: SPARK-45487
URL: https://issues.apache.org/jira/browse/SPARK-45487
Project: Spark
Issue Type: Improvement
Components: Spark Core
Affects Versions: 4.0.0
Reporter: Serge Rielau
def checkpointRDDBlockIdNotFoundError(rddBlockId: RDDBlockId): Throwable = \{
new SparkException(
errorClass = "_LEGACY_ERROR_TEMP_3007",
messageParameters = Map("rddBlockId" -> s"$rddBlockId"),
cause = null
)
}
This error condition appears to be quite common, so we should convert it to a
proper error class.
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[jira] [Created] (SPARK-45486) [CONNECT][SCALA] Update user agent to recognize SPARK_CONNECT_USER_AGENT and include environment specific attributes
Robert Dillitz created SPARK-45486: -- Summary: [CONNECT][SCALA] Update user agent to recognize SPARK_CONNECT_USER_AGENT and include environment specific attributes Key: SPARK-45486 URL: https://issues.apache.org/jira/browse/SPARK-45486 Project: Spark Issue Type: Improvement Components: Connect Affects Versions: 3.5.0 Reporter: Robert Dillitz Similar to the [Python client,|https://github.com/apache/spark/blob/2cc1ee4d3a05a641d7a245f015ef824d8f7bae8b/python/pyspark/sql/connect/client/core.py#L284] the Scala client should: # Recognize SPARK_CONNECT_USER_AGENT env variable # Always include the OS, Java version, Scala version, and Spark version -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Created] (SPARK-45485) make add_artifact idempotent
Alice Sayutina created SPARK-45485: -- Summary: make add_artifact idempotent Key: SPARK-45485 URL: https://issues.apache.org/jira/browse/SPARK-45485 Project: Spark Issue Type: Improvement Components: Connect Affects Versions: 3.5.0, 4.0.0 Reporter: Alice Sayutina # Make add_artifact request idempotent i.e. subsequent requests will succeed if the same content is provided. This makes retrying more safe. # Fix existing error handling mechanism -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-45204) Allow CommandPlugins to be trackable
[ https://issues.apache.org/jira/browse/SPARK-45204?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] ASF GitHub Bot updated SPARK-45204: --- Labels: connect pull-request-available scala (was: connect scala) > Allow CommandPlugins to be trackable > > > Key: SPARK-45204 > URL: https://issues.apache.org/jira/browse/SPARK-45204 > Project: Spark > Issue Type: Improvement > Components: Connect >Affects Versions: 3.5.0 >Reporter: Robert Dillitz >Priority: Major > Labels: connect, pull-request-available, scala > > There is currently no way to track the QueryStatementType & compilation time > for queries executed by a CommandPlugin. I propose to change > SparkConnectPlanner to hold an optional ExecuteHolder that can then be used > by plugins. -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-45484) Fix the bug that uses incorrect parquet compression codec lz4raw
[ https://issues.apache.org/jira/browse/SPARK-45484?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] ASF GitHub Bot updated SPARK-45484: --- Labels: pull-request-available (was: ) > Fix the bug that uses incorrect parquet compression codec lz4raw > > > Key: SPARK-45484 > URL: https://issues.apache.org/jira/browse/SPARK-45484 > Project: Spark > Issue Type: Bug > Components: SQL >Affects Versions: 3.5.0, 4.0.0 >Reporter: Jiaan Geng >Assignee: Jiaan Geng >Priority: Major > Labels: pull-request-available > > lz4raw is not a correct parquet compression codec name. > We should use lz4_raw as its name. -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-45213) Assign name to _LEGACY_ERROR_TEMP_2151
[
https://issues.apache.org/jira/browse/SPARK-45213?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Max Gekk reassigned SPARK-45213:
Assignee: Deng Ziming (was: Haejoon Lee)
> Assign name to _LEGACY_ERROR_TEMP_2151
> --
>
> Key: SPARK-45213
> URL: https://issues.apache.org/jira/browse/SPARK-45213
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
>Affects Versions: 3.5.0
>Reporter: Deng Ziming
>Assignee: Deng Ziming
>Priority: Major
> Labels: pull-request-available
> Fix For: 4.0.0
>
>
> in DatasetSuite test("CLASS_UNSUPPORTED_BY_MAP_OBJECTS when creating
> dataset") , we are using _LEGACY_ERROR_TEMP_2151, We should use proper error
> class name rather than `_LEGACY_ERROR_TEMP_xxx`.
>
> *NOTE:* Please reply to this ticket before start working on it, to avoid
> working on same ticket at a time
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[jira] [Resolved] (SPARK-45213) Assign name to _LEGACY_ERROR_TEMP_2151
[
https://issues.apache.org/jira/browse/SPARK-45213?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Max Gekk resolved SPARK-45213.
--
Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 43029
[https://github.com/apache/spark/pull/43029]
> Assign name to _LEGACY_ERROR_TEMP_2151
> --
>
> Key: SPARK-45213
> URL: https://issues.apache.org/jira/browse/SPARK-45213
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
>Affects Versions: 3.5.0
>Reporter: Deng Ziming
>Assignee: Haejoon Lee
>Priority: Major
> Labels: pull-request-available
> Fix For: 4.0.0
>
>
> in DatasetSuite test("CLASS_UNSUPPORTED_BY_MAP_OBJECTS when creating
> dataset") , we are using _LEGACY_ERROR_TEMP_2151, We should use proper error
> class name rather than `_LEGACY_ERROR_TEMP_xxx`.
>
> *NOTE:* Please reply to this ticket before start working on it, to avoid
> working on same ticket at a time
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[jira] [Created] (SPARK-45484) Fix the bug that uses incorrect parquet compression codec lz4raw
Jiaan Geng created SPARK-45484: -- Summary: Fix the bug that uses incorrect parquet compression codec lz4raw Key: SPARK-45484 URL: https://issues.apache.org/jira/browse/SPARK-45484 Project: Spark Issue Type: Bug Components: SQL Affects Versions: 3.5.0, 4.0.0 Reporter: Jiaan Geng Assignee: Jiaan Geng lz4raw is not a correct parquet compression codec name. We should use lz4_raw as its name. -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-32494) Null Aware Anti Join Optimize Support Multi-Column
[ https://issues.apache.org/jira/browse/SPARK-32494?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17773659#comment-17773659 ] Runkang He commented on SPARK-32494: Hi [~leanken], is this feature available in Spark's master branch? I don't find it in master now. > Null Aware Anti Join Optimize Support Multi-Column > -- > > Key: SPARK-32494 > URL: https://issues.apache.org/jira/browse/SPARK-32494 > Project: Spark > Issue Type: New Feature > Components: SQL >Affects Versions: 3.0.0 >Reporter: Leanken.Lin >Priority: Major > > In Issue SPARK-32290, we managed to optimize BroadcastNestedLoopJoin into > BroadcastHashJoin within the Single-Column NAAJ scenario, by using hash > lookup instead of loop join. > It's simple to just fulfill a "NOT IN" logical when it's a single key, but > multi-column not in is much more complicated with all these null aware > comparison. > FYI, code logical for single and multi column is defined at > ~/sql/core/src/test/resources/sql-tests/inputs/subquery/in-subquery/not-in-unit-tests-single-column.sql > ~/sql/core/src/test/resources/sql-tests/inputs/subquery/in-subquery/not-in-unit-tests-multi-column.sql > > Hence, proposed with a New type HashedRelation, NullAwareHashedRelation. > For NullAwareHashedRelation > # it will not skip anyNullColumn key like LongHashedRelation and > UnsafeHashedRelation do. > # while building NullAwareHashedRelation, will put extra keys into the > relation, just to make null aware columns comparison in hash lookup style. > the duplication would be 2^numKeys - 1 times, for example, if we are to > support NAAJ with 3 column join key, the buildSide would be expanded into > (2^3 - 1) times, 7X. > For example, if there is a UnsafeRow key (1,2,3) > In NullAware Mode, it should be expanded into 7 keys with extra C(3,1), > C(3,2) combinations, within the combinations, we duplicated these record with > null padding as following. > Original record > (1,2,3) > Extra record to be appended into NullAwareHashedRelation > (null, 2, 3) (1, null, 3) (1, 2, null) > (null, null, 3) (null, 2, null) (1, null, null)) > with the expanded data we can extract a common pattern for both single and > multi column. allNull refer to a unsafeRow which has all null columns. > * buildSide is empty input => return all rows > * allNullColumnKey Exists In buildSide input => reject all rows > * if streamedSideRow.allNull is true => drop the row > * if streamedSideRow.allNull is false & findMatch in NullAwareHashedRelation > => drop the row > * if streamedSideRow.allNull is false & notFindMatch in > NullAwareHashedRelation => return the row > > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Resolved] (SPARK-45479) Recover Python build in branch-3.3, 3.4 and 3.5
[ https://issues.apache.org/jira/browse/SPARK-45479?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Hyukjin Kwon resolved SPARK-45479. -- Fix Version/s: 4.0.0 Resolution: Fixed Issue resolved by pull request 43306 [https://github.com/apache/spark/pull/43306] > Recover Python build in branch-3.3, 3.4 and 3.5 > --- > > Key: SPARK-45479 > URL: https://issues.apache.org/jira/browse/SPARK-45479 > Project: Spark > Issue Type: Improvement > Components: Project Infra >Affects Versions: 4.0.0 >Reporter: Hyukjin Kwon >Assignee: Hyukjin Kwon >Priority: Major > Labels: pull-request-available > Fix For: 4.0.0 > > > https://github.com/apache/spark/actions/workflows/build_branch33.yml > https://github.com/apache/spark/actions/workflows/build_branch34.yml > https://github.com/apache/spark/actions/workflows/build_branch35.yml -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-45479) Recover Python build in branch-3.3, 3.4 and 3.5
[ https://issues.apache.org/jira/browse/SPARK-45479?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Hyukjin Kwon reassigned SPARK-45479: Assignee: Hyukjin Kwon > Recover Python build in branch-3.3, 3.4 and 3.5 > --- > > Key: SPARK-45479 > URL: https://issues.apache.org/jira/browse/SPARK-45479 > Project: Spark > Issue Type: Improvement > Components: Project Infra >Affects Versions: 4.0.0 >Reporter: Hyukjin Kwon >Assignee: Hyukjin Kwon >Priority: Major > Labels: pull-request-available > > https://github.com/apache/spark/actions/workflows/build_branch33.yml > https://github.com/apache/spark/actions/workflows/build_branch34.yml > https://github.com/apache/spark/actions/workflows/build_branch35.yml -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-45204) Allow CommandPlugins to be trackable
[ https://issues.apache.org/jira/browse/SPARK-45204?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Robert Dillitz updated SPARK-45204: --- Summary: Allow CommandPlugins to be trackable (was: Extend CommandPlugins to be trackable) > Allow CommandPlugins to be trackable > > > Key: SPARK-45204 > URL: https://issues.apache.org/jira/browse/SPARK-45204 > Project: Spark > Issue Type: Improvement > Components: Connect >Affects Versions: 3.5.0 >Reporter: Robert Dillitz >Priority: Major > Labels: connect, scala > > There is currently no way to track the QueryStatementType & compilation time > for queries executed by a CommandPlugin. I propose to create an extended > CommandPlugin interface that also offers a process() method that accepts a > QueryPlanningTracker. -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-45483) Correct the function groups in connect.functions
[ https://issues.apache.org/jira/browse/SPARK-45483?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] ASF GitHub Bot updated SPARK-45483: --- Labels: pull-request-available (was: ) > Correct the function groups in connect.functions > > > Key: SPARK-45483 > URL: https://issues.apache.org/jira/browse/SPARK-45483 > Project: Spark > Issue Type: Improvement > Components: Connect >Affects Versions: 4.0.0 >Reporter: Ruifeng Zheng >Priority: Major > Labels: pull-request-available > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Created] (SPARK-45483) Correct the function groups in connect.functions
Ruifeng Zheng created SPARK-45483: - Summary: Correct the function groups in connect.functions Key: SPARK-45483 URL: https://issues.apache.org/jira/browse/SPARK-45483 Project: Spark Issue Type: Improvement Components: Connect Affects Versions: 4.0.0 Reporter: Ruifeng Zheng -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Comment Edited] (SPARK-45482) Handle the usage of AccessControlContext and AccessController.
[
https://issues.apache.org/jira/browse/SPARK-45482?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17773616#comment-17773616
]
Yang Jie edited comment on SPARK-45482 at 10/10/23 9:38 AM:
For case 1, the business can be changed to
{code:java}
private[serializer] var enableDebugging: Boolean = {
!JBoolean.getBoolean("sun.io.serialization.extendedDebugInfo")
} {code}
For case 3, this is a useless method in Spark, perhaps it can be directly
deleted?
But for case 2, can we directly clean up the usage of AccessControlContext and
AccessController?
was (Author: luciferyang):
For case 1, the business can be changed to
{code:java}
private[serializer] var enableDebugging: Boolean = {
!JBoolean.getBoolean("sun.io.serialization.extendedDebugInfo")
} {code}
For case 3, this is a useless method in Spark, perhaps it can be directly
deleted?
But for case 2, can we directly clean up the usage of AccessControlContext and
AccessController?
> Handle the usage of AccessControlContext and AccessController.
> --
>
> Key: SPARK-45482
> URL: https://issues.apache.org/jira/browse/SPARK-45482
> Project: Spark
> Issue Type: Sub-task
> Components: Spark Core, SQL
>Affects Versions: 4.0.0
>Reporter: Yang Jie
>Priority: Minor
>
>
>
> {code:java}
> * @deprecated This class is only useful in conjunction with
> * {@linkplain SecurityManager the Security Manager}, which is
> deprecated
> * and subject to removal in a future release. Consequently, this class
> * is also deprecated and subject to removal. There is no replacement
> for
> * the Security Manager or this class.
> */
> @Deprecated(since="17", forRemoval=true)
> public final class AccessController {
> * @deprecated This class is only useful in conjunction with
> * {@linkplain SecurityManager the Security Manager}, which is
> deprecated
> * and subject to removal in a future release. Consequently, this class
> * is also deprecated and subject to removal. There is no replacement
> for
> * the Security Manager or this class.
> */
> @Deprecated(since="17", forRemoval=true)
> public final class AccessControlContext { {code}
>
>
> `AccessControlContext` and `AccessController` are marked as deprecated in
> Java 17, with `forRemoval` set to true. From the Javadoc, it can be seen that
> they do not have corresponding replacements.
>
> In Spark, there are three files that use AccessControlContext or
> AccessController:
> 1.[https://github.com/apache/spark/blob/39cc4abaff73cb49f9d79d1d844fe5c9fa14c917/core/src/main/scala/org/apache/spark/serializer/SerializationDebugger.scala#L70-L73]
> {code:java}
> private[serializer] var enableDebugging: Boolean = {
> !AccessController.doPrivileged(new sun.security.action.GetBooleanAction(
> "sun.io.serialization.extendedDebugInfo")).booleanValue()
> } {code}
>
> 2.
> [https://github.com/apache/spark/blob/39cc4abaff73cb49f9d79d1d844fe5c9fa14c917/sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/TSubjectAssumingTransport.java#L42-L45]
>
> {code:java}
> public void open() throws TTransportException {
> try {
> AccessControlContext context = AccessController.getContext();
> Subject subject = Subject.getSubject(context);
> Subject.doAs(subject, (PrivilegedExceptionAction) () -> {
> try {
> wrapped.open();
> } catch (TTransportException tte) {
> // Wrap the transport exception in an RTE, since Subject.doAs()
> then goes
> // and unwraps this for us out of the doAs block. We then unwrap one
> // more time in our catch clause to get back the TTE. (ugh)
> throw new RuntimeException(tte);
> }
> return null;
> });
> } catch (PrivilegedActionException ioe) {
> throw new RuntimeException("Received an ioe we never threw!", ioe);
> } catch (RuntimeException rte) {
> if (rte.getCause() instanceof TTransportException) {
> throw (TTransportException) rte.getCause();
> } else {
> throw rte;
> }
> }
> } {code}
>
> 3.
> [https://github.com/apache/spark/blob/39cc4abaff73cb49f9d79d1d844fe5c9fa14c917/sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/HttpAuthUtils.java#L73]
>
> {code:java}
> public static String getKerberosServiceTicket(String principal, String host,
> String serverHttpUrl, boolean assumeSubject) throws Exception {
> String serverPrincipal =
> ShimLoader.getHadoopThriftAuthBridge().getServerPrincipal(principal,
> host);
> if (assumeSubject) {
> // With this option, we're assuming that the external application,
> // using the JDBC driver has done a JAAS kerberos login already
[jira] [Commented] (SPARK-45482) Handle the usage of AccessControlContext and AccessController.
[
https://issues.apache.org/jira/browse/SPARK-45482?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17773617#comment-17773617
]
Yang Jie commented on SPARK-45482:
--
friendly ping [~dongjoon] Do you have any suggestions on this? Or should we
keep these usages for now?
> Handle the usage of AccessControlContext and AccessController.
> --
>
> Key: SPARK-45482
> URL: https://issues.apache.org/jira/browse/SPARK-45482
> Project: Spark
> Issue Type: Sub-task
> Components: Spark Core, SQL
>Affects Versions: 4.0.0
>Reporter: Yang Jie
>Priority: Minor
>
>
>
> {code:java}
> * @deprecated This class is only useful in conjunction with
> * {@linkplain SecurityManager the Security Manager}, which is
> deprecated
> * and subject to removal in a future release. Consequently, this class
> * is also deprecated and subject to removal. There is no replacement
> for
> * the Security Manager or this class.
> */
> @Deprecated(since="17", forRemoval=true)
> public final class AccessController {
> * @deprecated This class is only useful in conjunction with
> * {@linkplain SecurityManager the Security Manager}, which is
> deprecated
> * and subject to removal in a future release. Consequently, this class
> * is also deprecated and subject to removal. There is no replacement
> for
> * the Security Manager or this class.
> */
> @Deprecated(since="17", forRemoval=true)
> public final class AccessControlContext { {code}
>
>
> `AccessControlContext` and `AccessController` are marked as deprecated in
> Java 17, with `forRemoval` set to true. From the Javadoc, it can be seen that
> they do not have corresponding replacements.
>
> In Spark, there are three files that use AccessControlContext or
> AccessController:
> 1.[https://github.com/apache/spark/blob/39cc4abaff73cb49f9d79d1d844fe5c9fa14c917/core/src/main/scala/org/apache/spark/serializer/SerializationDebugger.scala#L70-L73]
> {code:java}
> private[serializer] var enableDebugging: Boolean = {
> !AccessController.doPrivileged(new sun.security.action.GetBooleanAction(
> "sun.io.serialization.extendedDebugInfo")).booleanValue()
> } {code}
>
> 2.
> [https://github.com/apache/spark/blob/39cc4abaff73cb49f9d79d1d844fe5c9fa14c917/sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/TSubjectAssumingTransport.java#L42-L45]
>
> {code:java}
> public void open() throws TTransportException {
> try {
> AccessControlContext context = AccessController.getContext();
> Subject subject = Subject.getSubject(context);
> Subject.doAs(subject, (PrivilegedExceptionAction) () -> {
> try {
> wrapped.open();
> } catch (TTransportException tte) {
> // Wrap the transport exception in an RTE, since Subject.doAs()
> then goes
> // and unwraps this for us out of the doAs block. We then unwrap one
> // more time in our catch clause to get back the TTE. (ugh)
> throw new RuntimeException(tte);
> }
> return null;
> });
> } catch (PrivilegedActionException ioe) {
> throw new RuntimeException("Received an ioe we never threw!", ioe);
> } catch (RuntimeException rte) {
> if (rte.getCause() instanceof TTransportException) {
> throw (TTransportException) rte.getCause();
> } else {
> throw rte;
> }
> }
> } {code}
>
> 3.
> [https://github.com/apache/spark/blob/39cc4abaff73cb49f9d79d1d844fe5c9fa14c917/sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/HttpAuthUtils.java#L73]
>
> {code:java}
> public static String getKerberosServiceTicket(String principal, String host,
> String serverHttpUrl, boolean assumeSubject) throws Exception {
> String serverPrincipal =
> ShimLoader.getHadoopThriftAuthBridge().getServerPrincipal(principal,
> host);
> if (assumeSubject) {
> // With this option, we're assuming that the external application,
> // using the JDBC driver has done a JAAS kerberos login already
> AccessControlContext context = AccessController.getContext();
> Subject subject = Subject.getSubject(context);
> if (subject == null) {
> throw new Exception("The Subject is not set");
> }
> return Subject.doAs(subject, new
> HttpKerberosClientAction(serverPrincipal, serverHttpUrl));
> } else {
> // JAAS login from ticket cache to setup the client UserGroupInformation
> UserGroupInformation clientUGI =
>
> ShimLoader.getHadoopThriftAuthBridge().getCurrentUGIWithConf("kerberos");
> return clientUGI.doAs(new HttpKerberosClientAction(serverPrincipal,
> serverHttpUrl));
> }
> } {code}
>
>
--
This message was sent by
[jira] [Commented] (SPARK-45482) Handle the usage of AccessControlContext and AccessController.
[
https://issues.apache.org/jira/browse/SPARK-45482?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17773616#comment-17773616
]
Yang Jie commented on SPARK-45482:
--
For case 1, the business can be changed to
{code:java}
private[serializer] var enableDebugging: Boolean = {
!JBoolean.getBoolean("sun.io.serialization.extendedDebugInfo")
} {code}
For case 3, this is a useless method in Spark, perhaps it can be directly
deleted?
But for case 2, can we directly clean up the usage of AccessControlContext and
AccessController?
> Handle the usage of AccessControlContext and AccessController.
> --
>
> Key: SPARK-45482
> URL: https://issues.apache.org/jira/browse/SPARK-45482
> Project: Spark
> Issue Type: Sub-task
> Components: Spark Core, SQL
>Affects Versions: 4.0.0
>Reporter: Yang Jie
>Priority: Minor
>
>
>
> {code:java}
> * @deprecated This class is only useful in conjunction with
> * {@linkplain SecurityManager the Security Manager}, which is
> deprecated
> * and subject to removal in a future release. Consequently, this class
> * is also deprecated and subject to removal. There is no replacement
> for
> * the Security Manager or this class.
> */
> @Deprecated(since="17", forRemoval=true)
> public final class AccessController {
> * @deprecated This class is only useful in conjunction with
> * {@linkplain SecurityManager the Security Manager}, which is
> deprecated
> * and subject to removal in a future release. Consequently, this class
> * is also deprecated and subject to removal. There is no replacement
> for
> * the Security Manager or this class.
> */
> @Deprecated(since="17", forRemoval=true)
> public final class AccessControlContext { {code}
>
>
> `AccessControlContext` and `AccessController` are marked as deprecated in
> Java 17, with `forRemoval` set to true. From the Javadoc, it can be seen that
> they do not have corresponding replacements.
>
> In Spark, there are three files that use AccessControlContext or
> AccessController:
> 1.[https://github.com/apache/spark/blob/39cc4abaff73cb49f9d79d1d844fe5c9fa14c917/core/src/main/scala/org/apache/spark/serializer/SerializationDebugger.scala#L70-L73]
> {code:java}
> private[serializer] var enableDebugging: Boolean = {
> !AccessController.doPrivileged(new sun.security.action.GetBooleanAction(
> "sun.io.serialization.extendedDebugInfo")).booleanValue()
> } {code}
>
> 2.
> [https://github.com/apache/spark/blob/39cc4abaff73cb49f9d79d1d844fe5c9fa14c917/sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/TSubjectAssumingTransport.java#L42-L45]
>
> {code:java}
> public void open() throws TTransportException {
> try {
> AccessControlContext context = AccessController.getContext();
> Subject subject = Subject.getSubject(context);
> Subject.doAs(subject, (PrivilegedExceptionAction) () -> {
> try {
> wrapped.open();
> } catch (TTransportException tte) {
> // Wrap the transport exception in an RTE, since Subject.doAs()
> then goes
> // and unwraps this for us out of the doAs block. We then unwrap one
> // more time in our catch clause to get back the TTE. (ugh)
> throw new RuntimeException(tte);
> }
> return null;
> });
> } catch (PrivilegedActionException ioe) {
> throw new RuntimeException("Received an ioe we never threw!", ioe);
> } catch (RuntimeException rte) {
> if (rte.getCause() instanceof TTransportException) {
> throw (TTransportException) rte.getCause();
> } else {
> throw rte;
> }
> }
> } {code}
>
> 3.
> [https://github.com/apache/spark/blob/39cc4abaff73cb49f9d79d1d844fe5c9fa14c917/sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/HttpAuthUtils.java#L73]
>
> {code:java}
> public static String getKerberosServiceTicket(String principal, String host,
> String serverHttpUrl, boolean assumeSubject) throws Exception {
> String serverPrincipal =
> ShimLoader.getHadoopThriftAuthBridge().getServerPrincipal(principal,
> host);
> if (assumeSubject) {
> // With this option, we're assuming that the external application,
> // using the JDBC driver has done a JAAS kerberos login already
> AccessControlContext context = AccessController.getContext();
> Subject subject = Subject.getSubject(context);
> if (subject == null) {
> throw new Exception("The Subject is not set");
> }
> return Subject.doAs(subject, new
> HttpKerberosClientAction(serverPrincipal, serverHttpUrl));
> } else {
> // JAAS login from ticket cache to setup the client UserGroupInformation
>
[jira] [Updated] (SPARK-45482) Handle the usage of AccessControlContext and AccessController.
[
https://issues.apache.org/jira/browse/SPARK-45482?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Yang Jie updated SPARK-45482:
-
Summary: Handle the usage of AccessControlContext and AccessController.
(was: Clean up the usage of `AccessControlContext` and `AccessController`)
> Handle the usage of AccessControlContext and AccessController.
> --
>
> Key: SPARK-45482
> URL: https://issues.apache.org/jira/browse/SPARK-45482
> Project: Spark
> Issue Type: Sub-task
> Components: Spark Core, SQL
>Affects Versions: 4.0.0
>Reporter: Yang Jie
>Priority: Minor
>
>
>
> {code:java}
> * @deprecated This class is only useful in conjunction with
> * {@linkplain SecurityManager the Security Manager}, which is
> deprecated
> * and subject to removal in a future release. Consequently, this class
> * is also deprecated and subject to removal. There is no replacement
> for
> * the Security Manager or this class.
> */
> @Deprecated(since="17", forRemoval=true)
> public final class AccessController {
> * @deprecated This class is only useful in conjunction with
> * {@linkplain SecurityManager the Security Manager}, which is
> deprecated
> * and subject to removal in a future release. Consequently, this class
> * is also deprecated and subject to removal. There is no replacement
> for
> * the Security Manager or this class.
> */
> @Deprecated(since="17", forRemoval=true)
> public final class AccessControlContext { {code}
>
>
> `AccessControlContext` and `AccessController` are marked as deprecated in
> Java 17, with `forRemoval` set to true. From the Javadoc, it can be seen that
> they do not have corresponding replacements.
>
> In Spark, there are three files that use AccessControlContext or
> AccessController:
> 1.[https://github.com/apache/spark/blob/39cc4abaff73cb49f9d79d1d844fe5c9fa14c917/core/src/main/scala/org/apache/spark/serializer/SerializationDebugger.scala#L70-L73]
> {code:java}
> private[serializer] var enableDebugging: Boolean = {
> !AccessController.doPrivileged(new sun.security.action.GetBooleanAction(
> "sun.io.serialization.extendedDebugInfo")).booleanValue()
> } {code}
>
> 2.
> [https://github.com/apache/spark/blob/39cc4abaff73cb49f9d79d1d844fe5c9fa14c917/sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/TSubjectAssumingTransport.java#L42-L45]
>
> {code:java}
> public void open() throws TTransportException {
> try {
> AccessControlContext context = AccessController.getContext();
> Subject subject = Subject.getSubject(context);
> Subject.doAs(subject, (PrivilegedExceptionAction) () -> {
> try {
> wrapped.open();
> } catch (TTransportException tte) {
> // Wrap the transport exception in an RTE, since Subject.doAs()
> then goes
> // and unwraps this for us out of the doAs block. We then unwrap one
> // more time in our catch clause to get back the TTE. (ugh)
> throw new RuntimeException(tte);
> }
> return null;
> });
> } catch (PrivilegedActionException ioe) {
> throw new RuntimeException("Received an ioe we never threw!", ioe);
> } catch (RuntimeException rte) {
> if (rte.getCause() instanceof TTransportException) {
> throw (TTransportException) rte.getCause();
> } else {
> throw rte;
> }
> }
> } {code}
>
> 3.
> [https://github.com/apache/spark/blob/39cc4abaff73cb49f9d79d1d844fe5c9fa14c917/sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/HttpAuthUtils.java#L73]
>
> {code:java}
> public static String getKerberosServiceTicket(String principal, String host,
> String serverHttpUrl, boolean assumeSubject) throws Exception {
> String serverPrincipal =
> ShimLoader.getHadoopThriftAuthBridge().getServerPrincipal(principal,
> host);
> if (assumeSubject) {
> // With this option, we're assuming that the external application,
> // using the JDBC driver has done a JAAS kerberos login already
> AccessControlContext context = AccessController.getContext();
> Subject subject = Subject.getSubject(context);
> if (subject == null) {
> throw new Exception("The Subject is not set");
> }
> return Subject.doAs(subject, new
> HttpKerberosClientAction(serverPrincipal, serverHttpUrl));
> } else {
> // JAAS login from ticket cache to setup the client UserGroupInformation
> UserGroupInformation clientUGI =
>
> ShimLoader.getHadoopThriftAuthBridge().getCurrentUGIWithConf("kerberos");
> return clientUGI.doAs(new HttpKerberosClientAction(serverPrincipal,
> serverHttpUrl));
> }
> } {code}
>
>
--
This message was sent by
[jira] [Updated] (SPARK-45482) Clean up the usage of `AccessControlContext` and `AccessController`
[
https://issues.apache.org/jira/browse/SPARK-45482?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Yang Jie updated SPARK-45482:
-
Description:
{code:java}
* @deprecated This class is only useful in conjunction with
* {@linkplain SecurityManager the Security Manager}, which is deprecated
* and subject to removal in a future release. Consequently, this class
* is also deprecated and subject to removal. There is no replacement for
* the Security Manager or this class.
*/
@Deprecated(since="17", forRemoval=true)
public final class AccessController {
* @deprecated This class is only useful in conjunction with
* {@linkplain SecurityManager the Security Manager}, which is deprecated
* and subject to removal in a future release. Consequently, this class
* is also deprecated and subject to removal. There is no replacement for
* the Security Manager or this class.
*/
@Deprecated(since="17", forRemoval=true)
public final class AccessControlContext { {code}
`AccessControlContext` and `AccessController` are marked as deprecated in Java
17, with `forRemoval` set to true. From the Javadoc, it can be seen that they
do not have corresponding replacements.
In Spark, there are three files that use AccessControlContext or
AccessController:
1.[https://github.com/apache/spark/blob/39cc4abaff73cb49f9d79d1d844fe5c9fa14c917/core/src/main/scala/org/apache/spark/serializer/SerializationDebugger.scala#L70-L73]
{code:java}
private[serializer] var enableDebugging: Boolean = {
!AccessController.doPrivileged(new sun.security.action.GetBooleanAction(
"sun.io.serialization.extendedDebugInfo")).booleanValue()
} {code}
2.
[https://github.com/apache/spark/blob/39cc4abaff73cb49f9d79d1d844fe5c9fa14c917/sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/TSubjectAssumingTransport.java#L42-L45]
{code:java}
public void open() throws TTransportException {
try {
AccessControlContext context = AccessController.getContext();
Subject subject = Subject.getSubject(context);
Subject.doAs(subject, (PrivilegedExceptionAction) () -> {
try {
wrapped.open();
} catch (TTransportException tte) {
// Wrap the transport exception in an RTE, since Subject.doAs() then
goes
// and unwraps this for us out of the doAs block. We then unwrap one
// more time in our catch clause to get back the TTE. (ugh)
throw new RuntimeException(tte);
}
return null;
});
} catch (PrivilegedActionException ioe) {
throw new RuntimeException("Received an ioe we never threw!", ioe);
} catch (RuntimeException rte) {
if (rte.getCause() instanceof TTransportException) {
throw (TTransportException) rte.getCause();
} else {
throw rte;
}
}
} {code}
3.
[https://github.com/apache/spark/blob/39cc4abaff73cb49f9d79d1d844fe5c9fa14c917/sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/HttpAuthUtils.java#L73]
{code:java}
public static String getKerberosServiceTicket(String principal, String host,
String serverHttpUrl, boolean assumeSubject) throws Exception {
String serverPrincipal =
ShimLoader.getHadoopThriftAuthBridge().getServerPrincipal(principal,
host);
if (assumeSubject) {
// With this option, we're assuming that the external application,
// using the JDBC driver has done a JAAS kerberos login already
AccessControlContext context = AccessController.getContext();
Subject subject = Subject.getSubject(context);
if (subject == null) {
throw new Exception("The Subject is not set");
}
return Subject.doAs(subject, new
HttpKerberosClientAction(serverPrincipal, serverHttpUrl));
} else {
// JAAS login from ticket cache to setup the client UserGroupInformation
UserGroupInformation clientUGI =
ShimLoader.getHadoopThriftAuthBridge().getCurrentUGIWithConf("kerberos");
return clientUGI.doAs(new HttpKerberosClientAction(serverPrincipal,
serverHttpUrl));
}
} {code}
was:
{code:java}
* @deprecated This class is only useful in conjunction with
* {@linkplain SecurityManager the Security Manager}, which is deprecated
* and subject to removal in a future release. Consequently, this class
* is also deprecated and subject to removal. There is no replacement for
* the Security Manager or this class.
*/
@Deprecated(since="17", forRemoval=true)
public final class AccessController {
* @deprecated This class is only useful in conjunction with
* {@linkplain SecurityManager the Security Manager}, which is deprecated
* and subject to removal in a future release. Consequently, this class
* is also deprecated and subject to removal. There is no replacement for
* the Security Manager or this
[jira] [Updated] (SPARK-45482) Clean up the usage of `AccessControlContext` and `AccessController`
[
https://issues.apache.org/jira/browse/SPARK-45482?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Yang Jie updated SPARK-45482:
-
Description:
{code:java}
* @deprecated This class is only useful in conjunction with
* {@linkplain SecurityManager the Security Manager}, which is deprecated
* and subject to removal in a future release. Consequently, this class
* is also deprecated and subject to removal. There is no replacement for
* the Security Manager or this class.
*/
@Deprecated(since="17", forRemoval=true)
public final class AccessController {
* @deprecated This class is only useful in conjunction with
* {@linkplain SecurityManager the Security Manager}, which is deprecated
* and subject to removal in a future release. Consequently, this class
* is also deprecated and subject to removal. There is no replacement for
* the Security Manager or this class.
*/
@Deprecated(since="17", forRemoval=true)
public final class AccessControlContext { {code}
`AccessControlContext` and `AccessController` are marked as deprecated in Java
17, with `forRemoval` set to true. From the Javadoc, it can be seen that they
do not have corresponding replacements.
In Spark, there are three files that use AccessControlContext or
AccessController:
#
[https://github.com/apache/spark/blob/39cc4abaff73cb49f9d79d1d844fe5c9fa14c917/core/src/main/scala/org/apache/spark/serializer/SerializationDebugger.scala#L70-L73]
{code:java}
private[serializer] var enableDebugging: Boolean = {
!AccessController.doPrivileged(new sun.security.action.GetBooleanAction(
"sun.io.serialization.extendedDebugInfo")).booleanValue()
} {code}
#
[https://github.com/apache/spark/blob/39cc4abaff73cb49f9d79d1d844fe5c9fa14c917/sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/TSubjectAssumingTransport.java#L42-L45]
{code:java}
public void open() throws TTransportException {
try {
AccessControlContext context = AccessController.getContext();
Subject subject = Subject.getSubject(context);
Subject.doAs(subject, (PrivilegedExceptionAction) () -> {
try {
wrapped.open();
} catch (TTransportException tte) {
// Wrap the transport exception in an RTE, since Subject.doAs() then
goes
// and unwraps this for us out of the doAs block. We then unwrap one
// more time in our catch clause to get back the TTE. (ugh)
throw new RuntimeException(tte);
}
return null;
});
} catch (PrivilegedActionException ioe) {
throw new RuntimeException("Received an ioe we never threw!", ioe);
} catch (RuntimeException rte) {
if (rte.getCause() instanceof TTransportException) {
throw (TTransportException) rte.getCause();
} else {
throw rte;
}
}
} {code}
#
[https://github.com/apache/spark/blob/39cc4abaff73cb49f9d79d1d844fe5c9fa14c917/sql/hive-thriftserver/src/main/java/org/apache/hive/service/auth/HttpAuthUtils.java#L73]
{code:java}
public static String getKerberosServiceTicket(String principal, String host,
String serverHttpUrl, boolean assumeSubject) throws Exception {
String serverPrincipal =
ShimLoader.getHadoopThriftAuthBridge().getServerPrincipal(principal,
host);
if (assumeSubject) {
// With this option, we're assuming that the external application,
// using the JDBC driver has done a JAAS kerberos login already
AccessControlContext context = AccessController.getContext();
Subject subject = Subject.getSubject(context);
if (subject == null) {
throw new Exception("The Subject is not set");
}
return Subject.doAs(subject, new
HttpKerberosClientAction(serverPrincipal, serverHttpUrl));
} else {
// JAAS login from ticket cache to setup the client UserGroupInformation
UserGroupInformation clientUGI =
ShimLoader.getHadoopThriftAuthBridge().getCurrentUGIWithConf("kerberos");
return clientUGI.doAs(new HttpKerberosClientAction(serverPrincipal,
serverHttpUrl));
}
} {code}
> Clean up the usage of `AccessControlContext` and `AccessController`
> ---
>
> Key: SPARK-45482
> URL: https://issues.apache.org/jira/browse/SPARK-45482
> Project: Spark
> Issue Type: Sub-task
> Components: Spark Core, SQL
>Affects Versions: 4.0.0
>Reporter: Yang Jie
>Priority: Minor
>
>
>
> {code:java}
> * @deprecated This class is only useful in conjunction with
> * {@linkplain SecurityManager the Security Manager}, which is
> deprecated
> * and subject to removal in a future release. Consequently, this class
> * is also deprecated and subject to removal. There is no replacement
> for
> * the
[jira] [Assigned] (SPARK-45481) Introduce a mapper for parquet compression codecs
[ https://issues.apache.org/jira/browse/SPARK-45481?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] ASF GitHub Bot reassigned SPARK-45481: -- Assignee: Apache Spark (was: Jiaan Geng) > Introduce a mapper for parquet compression codecs > - > > Key: SPARK-45481 > URL: https://issues.apache.org/jira/browse/SPARK-45481 > Project: Spark > Issue Type: Improvement > Components: SQL >Affects Versions: 4.0.0 >Reporter: Jiaan Geng >Assignee: Apache Spark >Priority: Major > Labels: pull-request-available > > Currently, Spark supported most of all parquet compression codecs, the > parquet supported compression codecs and spark supported are not completely > one-on-one. > There are a lot of magic strings copy from parquet compression codecs. This > issue lead to developers need to manually maintain its consistency. It is > easy to make mistakes and reduce development efficiency. -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-45479) Recover Python build in branch-3.3, 3.4 and 3.5
[ https://issues.apache.org/jira/browse/SPARK-45479?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] ASF GitHub Bot reassigned SPARK-45479: -- Assignee: (was: Apache Spark) > Recover Python build in branch-3.3, 3.4 and 3.5 > --- > > Key: SPARK-45479 > URL: https://issues.apache.org/jira/browse/SPARK-45479 > Project: Spark > Issue Type: Improvement > Components: Project Infra >Affects Versions: 4.0.0 >Reporter: Hyukjin Kwon >Priority: Major > Labels: pull-request-available > > https://github.com/apache/spark/actions/workflows/build_branch33.yml > https://github.com/apache/spark/actions/workflows/build_branch34.yml > https://github.com/apache/spark/actions/workflows/build_branch35.yml -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-45479) Recover Python build in branch-3.3, 3.4 and 3.5
[ https://issues.apache.org/jira/browse/SPARK-45479?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] ASF GitHub Bot reassigned SPARK-45479: -- Assignee: Apache Spark > Recover Python build in branch-3.3, 3.4 and 3.5 > --- > > Key: SPARK-45479 > URL: https://issues.apache.org/jira/browse/SPARK-45479 > Project: Spark > Issue Type: Improvement > Components: Project Infra >Affects Versions: 4.0.0 >Reporter: Hyukjin Kwon >Assignee: Apache Spark >Priority: Major > Labels: pull-request-available > > https://github.com/apache/spark/actions/workflows/build_branch33.yml > https://github.com/apache/spark/actions/workflows/build_branch34.yml > https://github.com/apache/spark/actions/workflows/build_branch35.yml -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-45481) Introduce a mapper for parquet compression codecs
[ https://issues.apache.org/jira/browse/SPARK-45481?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] ASF GitHub Bot updated SPARK-45481: --- Labels: pull-request-available (was: ) > Introduce a mapper for parquet compression codecs > - > > Key: SPARK-45481 > URL: https://issues.apache.org/jira/browse/SPARK-45481 > Project: Spark > Issue Type: Improvement > Components: SQL >Affects Versions: 4.0.0 >Reporter: Jiaan Geng >Assignee: Jiaan Geng >Priority: Major > Labels: pull-request-available > > Currently, Spark supported most of all parquet compression codecs, the > parquet supported compression codecs and spark supported are not completely > one-on-one. > There are a lot of magic strings copy from parquet compression codecs. This > issue lead to developers need to manually maintain its consistency. It is > easy to make mistakes and reduce development efficiency. -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-45479) Recover Python build in branch-3.3, 3.4 and 3.5
[ https://issues.apache.org/jira/browse/SPARK-45479?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] ASF GitHub Bot reassigned SPARK-45479: -- Assignee: (was: Apache Spark) > Recover Python build in branch-3.3, 3.4 and 3.5 > --- > > Key: SPARK-45479 > URL: https://issues.apache.org/jira/browse/SPARK-45479 > Project: Spark > Issue Type: Improvement > Components: Project Infra >Affects Versions: 4.0.0 >Reporter: Hyukjin Kwon >Priority: Major > Labels: pull-request-available > > https://github.com/apache/spark/actions/workflows/build_branch33.yml > https://github.com/apache/spark/actions/workflows/build_branch34.yml > https://github.com/apache/spark/actions/workflows/build_branch35.yml -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-45479) Recover Python build in branch-3.3, 3.4 and 3.5
[ https://issues.apache.org/jira/browse/SPARK-45479?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] ASF GitHub Bot reassigned SPARK-45479: -- Assignee: Apache Spark > Recover Python build in branch-3.3, 3.4 and 3.5 > --- > > Key: SPARK-45479 > URL: https://issues.apache.org/jira/browse/SPARK-45479 > Project: Spark > Issue Type: Improvement > Components: Project Infra >Affects Versions: 4.0.0 >Reporter: Hyukjin Kwon >Assignee: Apache Spark >Priority: Major > Labels: pull-request-available > > https://github.com/apache/spark/actions/workflows/build_branch33.yml > https://github.com/apache/spark/actions/workflows/build_branch34.yml > https://github.com/apache/spark/actions/workflows/build_branch35.yml -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Created] (SPARK-45482) Clean up the usage of `AccessControlContext` and `AccessController`
Yang Jie created SPARK-45482: Summary: Clean up the usage of `AccessControlContext` and `AccessController` Key: SPARK-45482 URL: https://issues.apache.org/jira/browse/SPARK-45482 Project: Spark Issue Type: Sub-task Components: Spark Core, SQL Affects Versions: 4.0.0 Reporter: Yang Jie -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-45479) Recover Python build in branch-3.3, 3.4 and 3.5
[ https://issues.apache.org/jira/browse/SPARK-45479?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] ASF GitHub Bot reassigned SPARK-45479: -- Assignee: (was: Apache Spark) > Recover Python build in branch-3.3, 3.4 and 3.5 > --- > > Key: SPARK-45479 > URL: https://issues.apache.org/jira/browse/SPARK-45479 > Project: Spark > Issue Type: Improvement > Components: Project Infra >Affects Versions: 4.0.0 >Reporter: Hyukjin Kwon >Priority: Major > Labels: pull-request-available > > https://github.com/apache/spark/actions/workflows/build_branch33.yml > https://github.com/apache/spark/actions/workflows/build_branch34.yml > https://github.com/apache/spark/actions/workflows/build_branch35.yml -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-45479) Recover Python build in branch-3.3, 3.4 and 3.5
[ https://issues.apache.org/jira/browse/SPARK-45479?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] ASF GitHub Bot reassigned SPARK-45479: -- Assignee: Apache Spark > Recover Python build in branch-3.3, 3.4 and 3.5 > --- > > Key: SPARK-45479 > URL: https://issues.apache.org/jira/browse/SPARK-45479 > Project: Spark > Issue Type: Improvement > Components: Project Infra >Affects Versions: 4.0.0 >Reporter: Hyukjin Kwon >Assignee: Apache Spark >Priority: Major > Labels: pull-request-available > > https://github.com/apache/spark/actions/workflows/build_branch33.yml > https://github.com/apache/spark/actions/workflows/build_branch34.yml > https://github.com/apache/spark/actions/workflows/build_branch35.yml -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-43664) Fix TABLE_OR_VIEW_NOT_FOUND from SQLParityTests
[ https://issues.apache.org/jira/browse/SPARK-43664?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] ASF GitHub Bot reassigned SPARK-43664: -- Assignee: Apache Spark > Fix TABLE_OR_VIEW_NOT_FOUND from SQLParityTests > --- > > Key: SPARK-43664 > URL: https://issues.apache.org/jira/browse/SPARK-43664 > Project: Spark > Issue Type: Sub-task > Components: Connect, Pandas API on Spark >Affects Versions: 3.5.0 >Reporter: Haejoon Lee >Assignee: Apache Spark >Priority: Major > Labels: pull-request-available > > Repro: run `SQLParityTests.test_sql_with_index_col` -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-43664) Fix TABLE_OR_VIEW_NOT_FOUND from SQLParityTests
[ https://issues.apache.org/jira/browse/SPARK-43664?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] ASF GitHub Bot reassigned SPARK-43664: -- Assignee: (was: Apache Spark) > Fix TABLE_OR_VIEW_NOT_FOUND from SQLParityTests > --- > > Key: SPARK-43664 > URL: https://issues.apache.org/jira/browse/SPARK-43664 > Project: Spark > Issue Type: Sub-task > Components: Connect, Pandas API on Spark >Affects Versions: 3.5.0 >Reporter: Haejoon Lee >Priority: Major > Labels: pull-request-available > > Repro: run `SQLParityTests.test_sql_with_index_col` -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-45480) Selectable SQL Plan
[ https://issues.apache.org/jira/browse/SPARK-45480?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] ASF GitHub Bot reassigned SPARK-45480: -- Assignee: (was: Apache Spark) > Selectable SQL Plan > --- > > Key: SPARK-45480 > URL: https://issues.apache.org/jira/browse/SPARK-45480 > Project: Spark > Issue Type: Improvement > Components: SQL, Web UI >Affects Versions: 4.0.0 >Reporter: Kent Yao >Priority: Major > Labels: pull-request-available > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-43664) Fix TABLE_OR_VIEW_NOT_FOUND from SQLParityTests
[ https://issues.apache.org/jira/browse/SPARK-43664?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] ASF GitHub Bot reassigned SPARK-43664: -- Assignee: Apache Spark > Fix TABLE_OR_VIEW_NOT_FOUND from SQLParityTests > --- > > Key: SPARK-43664 > URL: https://issues.apache.org/jira/browse/SPARK-43664 > Project: Spark > Issue Type: Sub-task > Components: Connect, Pandas API on Spark >Affects Versions: 3.5.0 >Reporter: Haejoon Lee >Assignee: Apache Spark >Priority: Major > Labels: pull-request-available > > Repro: run `SQLParityTests.test_sql_with_index_col` -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-43664) Fix TABLE_OR_VIEW_NOT_FOUND from SQLParityTests
[ https://issues.apache.org/jira/browse/SPARK-43664?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] ASF GitHub Bot reassigned SPARK-43664: -- Assignee: (was: Apache Spark) > Fix TABLE_OR_VIEW_NOT_FOUND from SQLParityTests > --- > > Key: SPARK-43664 > URL: https://issues.apache.org/jira/browse/SPARK-43664 > Project: Spark > Issue Type: Sub-task > Components: Connect, Pandas API on Spark >Affects Versions: 3.5.0 >Reporter: Haejoon Lee >Priority: Major > Labels: pull-request-available > > Repro: run `SQLParityTests.test_sql_with_index_col` -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-45480) Selectable SQL Plan
[ https://issues.apache.org/jira/browse/SPARK-45480?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] ASF GitHub Bot reassigned SPARK-45480: -- Assignee: Apache Spark > Selectable SQL Plan > --- > > Key: SPARK-45480 > URL: https://issues.apache.org/jira/browse/SPARK-45480 > Project: Spark > Issue Type: Improvement > Components: SQL, Web UI >Affects Versions: 4.0.0 >Reporter: Kent Yao >Assignee: Apache Spark >Priority: Major > Labels: pull-request-available > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-45480) Selectable SQL Plan
[ https://issues.apache.org/jira/browse/SPARK-45480?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] ASF GitHub Bot reassigned SPARK-45480: -- Assignee: Apache Spark > Selectable SQL Plan > --- > > Key: SPARK-45480 > URL: https://issues.apache.org/jira/browse/SPARK-45480 > Project: Spark > Issue Type: Improvement > Components: SQL, Web UI >Affects Versions: 4.0.0 >Reporter: Kent Yao >Assignee: Apache Spark >Priority: Major > Labels: pull-request-available > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-45481) Introduce a mapper for parquet compression codecs
[ https://issues.apache.org/jira/browse/SPARK-45481?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Jiaan Geng reassigned SPARK-45481: -- Assignee: Jiaan Geng > Introduce a mapper for parquet compression codecs > - > > Key: SPARK-45481 > URL: https://issues.apache.org/jira/browse/SPARK-45481 > Project: Spark > Issue Type: Improvement > Components: SQL >Affects Versions: 4.0.0 >Reporter: Jiaan Geng >Assignee: Jiaan Geng >Priority: Major > > Currently, Spark supported most of all parquet compression codecs, the > parquet supported compression codecs and spark supported are not completely > one-on-one. > There are a lot of magic strings copy from parquet compression codecs. This > issue lead to developers need to manually maintain its consistency. It is > easy to make mistakes and reduce development efficiency. -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-45480) Selectable SQL Plan
[ https://issues.apache.org/jira/browse/SPARK-45480?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] ASF GitHub Bot reassigned SPARK-45480: -- Assignee: (was: Apache Spark) > Selectable SQL Plan > --- > > Key: SPARK-45480 > URL: https://issues.apache.org/jira/browse/SPARK-45480 > Project: Spark > Issue Type: Improvement > Components: SQL, Web UI >Affects Versions: 4.0.0 >Reporter: Kent Yao >Priority: Major > Labels: pull-request-available > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-45481) Introduce a mapper for parquet compression codecs
[ https://issues.apache.org/jira/browse/SPARK-45481?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Jiaan Geng updated SPARK-45481: --- Description: Currently, Spark supported most of all parquet compression codecs, the parquet supported compression codecs and spark supported are not completely one-on-one. There are a lot of magic strings copy from parquet compression codecs. This issue lead to developers need to manually maintain its consistency. It is easy to make mistakes and reduce development efficiency. was:Currently, StorageLevel provides fromString to get the StorageLevel's instance with StorageLevel's name. So developers or users have to copy the string literal about StorageLevel's name to set or get instance of StorageLevel. This issue lead to developers need to manually maintain its consistency. It is easy to make mistakes and reduce development efficiency. > Introduce a mapper for parquet compression codecs > - > > Key: SPARK-45481 > URL: https://issues.apache.org/jira/browse/SPARK-45481 > Project: Spark > Issue Type: Improvement > Components: SQL >Affects Versions: 4.0.0 >Reporter: Jiaan Geng >Priority: Major > > Currently, Spark supported most of all parquet compression codecs, the > parquet supported compression codecs and spark supported are not completely > one-on-one. > There are a lot of magic strings copy from parquet compression codecs. This > issue lead to developers need to manually maintain its consistency. It is > easy to make mistakes and reduce development efficiency. -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-45480) Selectable SQL Plan
[ https://issues.apache.org/jira/browse/SPARK-45480?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] ASF GitHub Bot reassigned SPARK-45480: -- Assignee: (was: Apache Spark) > Selectable SQL Plan > --- > > Key: SPARK-45480 > URL: https://issues.apache.org/jira/browse/SPARK-45480 > Project: Spark > Issue Type: Improvement > Components: SQL, Web UI >Affects Versions: 4.0.0 >Reporter: Kent Yao >Priority: Major > Labels: pull-request-available > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-45480) Selectable SQL Plan
[ https://issues.apache.org/jira/browse/SPARK-45480?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] ASF GitHub Bot reassigned SPARK-45480: -- Assignee: Apache Spark > Selectable SQL Plan > --- > > Key: SPARK-45480 > URL: https://issues.apache.org/jira/browse/SPARK-45480 > Project: Spark > Issue Type: Improvement > Components: SQL, Web UI >Affects Versions: 4.0.0 >Reporter: Kent Yao >Assignee: Apache Spark >Priority: Major > Labels: pull-request-available > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-45356) Optimize the Maven daily test configuration
[ https://issues.apache.org/jira/browse/SPARK-45356?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] ASF GitHub Bot reassigned SPARK-45356: -- Assignee: (was: Apache Spark) > Optimize the Maven daily test configuration > --- > > Key: SPARK-45356 > URL: https://issues.apache.org/jira/browse/SPARK-45356 > Project: Spark > Issue Type: Improvement > Components: Project Infra >Affects Versions: 4.0.0 >Reporter: Yang Jie >Priority: Major > Labels: pull-request-available > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-45480) Selectable SQL Plan
[ https://issues.apache.org/jira/browse/SPARK-45480?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] ASF GitHub Bot updated SPARK-45480: --- Labels: pull-request-available (was: ) > Selectable SQL Plan > --- > > Key: SPARK-45480 > URL: https://issues.apache.org/jira/browse/SPARK-45480 > Project: Spark > Issue Type: Improvement > Components: SQL, Web UI >Affects Versions: 4.0.0 >Reporter: Kent Yao >Priority: Major > Labels: pull-request-available > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Created] (SPARK-45481) Introduce a mapper for parquet compression codecs
Jiaan Geng created SPARK-45481: -- Summary: Introduce a mapper for parquet compression codecs Key: SPARK-45481 URL: https://issues.apache.org/jira/browse/SPARK-45481 Project: Spark Issue Type: Improvement Components: SQL Affects Versions: 4.0.0 Reporter: Jiaan Geng -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-45481) Introduce a mapper for parquet compression codecs
[ https://issues.apache.org/jira/browse/SPARK-45481?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Jiaan Geng updated SPARK-45481: --- Description: Currently, StorageLevel provides fromString to get the StorageLevel's instance with StorageLevel's name. So developers or users have to copy the string literal about StorageLevel's name to set or get instance of StorageLevel. This issue lead to developers need to manually maintain its consistency. It is easy to make mistakes and reduce development efficiency. > Introduce a mapper for parquet compression codecs > - > > Key: SPARK-45481 > URL: https://issues.apache.org/jira/browse/SPARK-45481 > Project: Spark > Issue Type: Improvement > Components: SQL >Affects Versions: 4.0.0 >Reporter: Jiaan Geng >Priority: Major > > Currently, StorageLevel provides fromString to get the StorageLevel's > instance with StorageLevel's name. So developers or users have to copy the > string literal about StorageLevel's name to set or get instance of > StorageLevel. This issue lead to developers need to manually maintain its > consistency. It is easy to make mistakes and reduce development efficiency. -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Created] (SPARK-45480) Selectable SQL Plan
Kent Yao created SPARK-45480: Summary: Selectable SQL Plan Key: SPARK-45480 URL: https://issues.apache.org/jira/browse/SPARK-45480 Project: Spark Issue Type: Improvement Components: SQL, Web UI Affects Versions: 4.0.0 Reporter: Kent Yao -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-45479) Recover Python build in branch-3.3, 3.4 and 3.5
[ https://issues.apache.org/jira/browse/SPARK-45479?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] ASF GitHub Bot updated SPARK-45479: --- Labels: pull-request-available (was: ) > Recover Python build in branch-3.3, 3.4 and 3.5 > --- > > Key: SPARK-45479 > URL: https://issues.apache.org/jira/browse/SPARK-45479 > Project: Spark > Issue Type: Improvement > Components: Project Infra >Affects Versions: 4.0.0 >Reporter: Hyukjin Kwon >Priority: Major > Labels: pull-request-available > > https://github.com/apache/spark/actions/workflows/build_branch33.yml > https://github.com/apache/spark/actions/workflows/build_branch34.yml > https://github.com/apache/spark/actions/workflows/build_branch35.yml -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Created] (SPARK-45479) Recover Python build in branch-3.3, 3.4 and 3.5
Hyukjin Kwon created SPARK-45479: Summary: Recover Python build in branch-3.3, 3.4 and 3.5 Key: SPARK-45479 URL: https://issues.apache.org/jira/browse/SPARK-45479 Project: Spark Issue Type: Improvement Components: Project Infra Affects Versions: 4.0.0 Reporter: Hyukjin Kwon https://github.com/apache/spark/actions/workflows/build_branch33.yml https://github.com/apache/spark/actions/workflows/build_branch34.yml https://github.com/apache/spark/actions/workflows/build_branch35.yml -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Resolved] (SPARK-45475) Should use DataFrame.foreachPartition instead of RDD.foreachPartition in JdbcUtils
[ https://issues.apache.org/jira/browse/SPARK-45475?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Hyukjin Kwon resolved SPARK-45475. -- Fix Version/s: 3.5.1 4.0.0 Resolution: Fixed Issue resolved by pull request 43304 [https://github.com/apache/spark/pull/43304] > Should use DataFrame.foreachPartition instead of RDD.foreachPartition in > JdbcUtils > -- > > Key: SPARK-45475 > URL: https://issues.apache.org/jira/browse/SPARK-45475 > Project: Spark > Issue Type: Improvement > Components: SQL >Affects Versions: 4.0.0 >Reporter: Hyukjin Kwon >Assignee: Hyukjin Kwon >Priority: Minor > Labels: pull-request-available > Fix For: 3.5.1, 4.0.0 > > > See https://github.com/apache/spark/pull/39976#issuecomment-1752930380 -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-45475) Should use DataFrame.foreachPartition instead of RDD.foreachPartition in JdbcUtils
[ https://issues.apache.org/jira/browse/SPARK-45475?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Hyukjin Kwon reassigned SPARK-45475: Assignee: Hyukjin Kwon > Should use DataFrame.foreachPartition instead of RDD.foreachPartition in > JdbcUtils > -- > > Key: SPARK-45475 > URL: https://issues.apache.org/jira/browse/SPARK-45475 > Project: Spark > Issue Type: Improvement > Components: SQL >Affects Versions: 4.0.0 >Reporter: Hyukjin Kwon >Assignee: Hyukjin Kwon >Priority: Minor > Labels: pull-request-available > > See https://github.com/apache/spark/pull/39976#issuecomment-1752930380 -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-45478) codegen sum(decimal_column / 2) computes div twice
[
https://issues.apache.org/jira/browse/SPARK-45478?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Zhizhen Hou updated SPARK-45478:
Description:
*The SQL to reproduce the result*
{code:java}
create table t_dec (c1 decimal(6,2));
insert into t_dec values(1.0),(2.0),(null),(3.0);
explain codegen select sum(c1/2) from t_dec; {code}
*Reasons may cause the result:*
Function sum use If expression in updateExpressions:
`If(child.isNull, sum, sum + KnownNotNull(child).cast(resultType))`
The three variables in if expression like this.
{code:java}
predicate: isnull(CheckOverflow((promote_precision(input[2, decimal(10,0),
true]) / 2), DecimalType(16,6), true))trueValue: input[0, decimal(26,6),
true]falseValue: (input[0, decimal(26,6), true] +
cast(knownnotnull(CheckOverflow((promote_precision(input[2, decimal(10,0),
true]) / 2), DecimalType(16,6), true)) as decimal(26,6))) {code}
In sub expression elimination, only predicate is evaluated in
EquivalentExpressions# childrenToRecurse
{code:java}
private def childrenToRecurse(expr: Expression): Seq[Expression] = expr match {
case _: CodegenFallback => Nil
case i: If => i.predicate :: Nil
case c: CaseWhen => c.children.head :: Nil
case c: Coalesce => c.children.head :: Nil
case other => other.children
} {code}
I tried to replace `case i: If => i.predicate :: Nil` with 'case i: If =>
i.predicate :: trueValue :: falseValue :: Nil', and it produce correct result.
But the following comment in `childrenToRecurse` makes me not sure it will
cause any other problems.
{code:java}
// 2. If: common subexpressions will always be evaluated at the beginning, but
the true and
// false expressions in `If` may not get accessed, according to the predicate
// expression. We should only recurse into the predicate expression. {code}
was:
*The SQL to reproduce*
{code:java}
create table t_dec (c1 decimal(6,2));
insert into t_dec values(1.0),(2.0),(null),(3.0);
explain codegen select sum(c1/2) from t_dec; {code}
*Reasons may cause the result:*
Function sum use If expression in updateExpressions:
`If(child.isNull, sum, sum + KnownNotNull(child).cast(resultType))`
The three variables in if expression like this.
{code:java}
predicate: isnull(CheckOverflow((promote_precision(input[2, decimal(10,0),
true]) / 2), DecimalType(16,6), true))trueValue: input[0, decimal(26,6),
true]falseValue: (input[0, decimal(26,6), true] +
cast(knownnotnull(CheckOverflow((promote_precision(input[2, decimal(10,0),
true]) / 2), DecimalType(16,6), true)) as decimal(26,6))) {code}
In sub expression elimination, only predicate is evaluated in
EquivalentExpressions# childrenToRecurse
{code:java}
private def childrenToRecurse(expr: Expression): Seq[Expression] = expr match {
case _: CodegenFallback => Nil
case i: If => i.predicate :: Nil
case c: CaseWhen => c.children.head :: Nil
case c: Coalesce => c.children.head :: Nil
case other => other.children
} {code}
I tried to replace `case i: If => i.predicate :: Nil` with 'case i: If =>
i.predicate :: trueValue :: falseValue :: Nil', and it produce correct result.
But the following comment in `childrenToRecurse` makes me not sure it will
cause any other problems.
{code:java}
// 2. If: common subexpressions will always be evaluated at the beginning, but
the true and
// false expressions in `If` may not get accessed, according to the predicate
// expression. We should only recurse into the predicate expression. {code}
> codegen sum(decimal_column / 2) computes div twice
> --
>
> Key: SPARK-45478
> URL: https://issues.apache.org/jira/browse/SPARK-45478
> Project: Spark
> Issue Type: Improvement
> Components: SQL
>Affects Versions: 3.2.0
>Reporter: Zhizhen Hou
>Priority: Minor
>
> *The SQL to reproduce the result*
> {code:java}
> create table t_dec (c1 decimal(6,2));
> insert into t_dec values(1.0),(2.0),(null),(3.0);
> explain codegen select sum(c1/2) from t_dec; {code}
>
> *Reasons may cause the result:*
>
> Function sum use If expression in updateExpressions:
> `If(child.isNull, sum, sum + KnownNotNull(child).cast(resultType))`
>
> The three variables in if expression like this.
> {code:java}
> predicate: isnull(CheckOverflow((promote_precision(input[2, decimal(10,0),
> true]) / 2), DecimalType(16,6), true))trueValue: input[0, decimal(26,6),
> true]falseValue: (input[0, decimal(26,6), true] +
> cast(knownnotnull(CheckOverflow((promote_precision(input[2, decimal(10,0),
> true]) / 2), DecimalType(16,6), true)) as decimal(26,6))) {code}
> In sub expression elimination, only predicate is evaluated in
> EquivalentExpressions# childrenToRecurse
> {code:java}
> private def childrenToRecurse(expr: Expression): Seq[Expression] = expr match
> {
> case _: CodegenFallback => Nil
> case i: If =>
[jira] [Commented] (SPARK-45478) codegen sum(decimal_column / 2) computes div twice
[
https://issues.apache.org/jira/browse/SPARK-45478?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17773579#comment-17773579
]
Zhizhen Hou commented on SPARK-45478:
-
The new compiled spark 4.0.0-SNAPSHOT from master branch also produce the same
result.
> codegen sum(decimal_column / 2) computes div twice
> --
>
> Key: SPARK-45478
> URL: https://issues.apache.org/jira/browse/SPARK-45478
> Project: Spark
> Issue Type: Improvement
> Components: SQL
>Affects Versions: 3.2.0
>Reporter: Zhizhen Hou
>Priority: Minor
>
> *The SQL to reproduce*
> create table t_dec (c1 decimal(6,2));
> insert into t_dec values(1.0),(2.0),(null),(3.0);
> explain codegen select sum(c1/2) from t_dec;
>
> *Reasons may cause the result:*
>
> Function sum use If expression in updateExpressions:
> `If(child.isNull, sum, sum + KnownNotNull(child).cast(resultType))`
>
> The three variables in if expression like this.
> {code:java}
> predicate: isnull(CheckOverflow((promote_precision(input[2, decimal(10,0),
> true]) / 2), DecimalType(16,6), true))trueValue: input[0, decimal(26,6),
> true]falseValue: (input[0, decimal(26,6), true] +
> cast(knownnotnull(CheckOverflow((promote_precision(input[2, decimal(10,0),
> true]) / 2), DecimalType(16,6), true)) as decimal(26,6))) {code}
> In sub expression elimination, only predicate is evaluated in
> EquivalentExpressions# childrenToRecurse
> {code:java}
> private def childrenToRecurse(expr: Expression): Seq[Expression] = expr match
> {
> case _: CodegenFallback => Nil
> case i: If => i.predicate :: Nil
> case c: CaseWhen => c.children.head :: Nil
> case c: Coalesce => c.children.head :: Nil
> case other => other.children
> } {code}
> I tried to replace `case i: If => i.predicate :: Nil` with 'case i: If =>
> i.predicate :: trueValue :: falseValue :: Nil', and it produce correct result.
>
> But the following comment in `childrenToRecurse` makes me not sure it will
> cause any other problems.
> {code:java}
> // 2. If: common subexpressions will always be evaluated at the beginning,
> but the true and
> // false expressions in `If` may not get accessed, according to the predicate
> // expression. We should only recurse into the predicate expression. {code}
>
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[jira] [Updated] (SPARK-45478) codegen sum(decimal_column / 2) computes div twice
[
https://issues.apache.org/jira/browse/SPARK-45478?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Zhizhen Hou updated SPARK-45478:
Description:
*The SQL to reproduce*
{code:java}
create table t_dec (c1 decimal(6,2));
insert into t_dec values(1.0),(2.0),(null),(3.0);
explain codegen select sum(c1/2) from t_dec; {code}
*Reasons may cause the result:*
Function sum use If expression in updateExpressions:
`If(child.isNull, sum, sum + KnownNotNull(child).cast(resultType))`
The three variables in if expression like this.
{code:java}
predicate: isnull(CheckOverflow((promote_precision(input[2, decimal(10,0),
true]) / 2), DecimalType(16,6), true))trueValue: input[0, decimal(26,6),
true]falseValue: (input[0, decimal(26,6), true] +
cast(knownnotnull(CheckOverflow((promote_precision(input[2, decimal(10,0),
true]) / 2), DecimalType(16,6), true)) as decimal(26,6))) {code}
In sub expression elimination, only predicate is evaluated in
EquivalentExpressions# childrenToRecurse
{code:java}
private def childrenToRecurse(expr: Expression): Seq[Expression] = expr match {
case _: CodegenFallback => Nil
case i: If => i.predicate :: Nil
case c: CaseWhen => c.children.head :: Nil
case c: Coalesce => c.children.head :: Nil
case other => other.children
} {code}
I tried to replace `case i: If => i.predicate :: Nil` with 'case i: If =>
i.predicate :: trueValue :: falseValue :: Nil', and it produce correct result.
But the following comment in `childrenToRecurse` makes me not sure it will
cause any other problems.
{code:java}
// 2. If: common subexpressions will always be evaluated at the beginning, but
the true and
// false expressions in `If` may not get accessed, according to the predicate
// expression. We should only recurse into the predicate expression. {code}
was:
*The SQL to reproduce*
create table t_dec (c1 decimal(6,2));
insert into t_dec values(1.0),(2.0),(null),(3.0);
explain codegen select sum(c1/2) from t_dec;
*Reasons may cause the result:*
Function sum use If expression in updateExpressions:
`If(child.isNull, sum, sum + KnownNotNull(child).cast(resultType))`
The three variables in if expression like this.
{code:java}
predicate: isnull(CheckOverflow((promote_precision(input[2, decimal(10,0),
true]) / 2), DecimalType(16,6), true))trueValue: input[0, decimal(26,6),
true]falseValue: (input[0, decimal(26,6), true] +
cast(knownnotnull(CheckOverflow((promote_precision(input[2, decimal(10,0),
true]) / 2), DecimalType(16,6), true)) as decimal(26,6))) {code}
In sub expression elimination, only predicate is evaluated in
EquivalentExpressions# childrenToRecurse
{code:java}
private def childrenToRecurse(expr: Expression): Seq[Expression] = expr match {
case _: CodegenFallback => Nil
case i: If => i.predicate :: Nil
case c: CaseWhen => c.children.head :: Nil
case c: Coalesce => c.children.head :: Nil
case other => other.children
} {code}
I tried to replace `case i: If => i.predicate :: Nil` with 'case i: If =>
i.predicate :: trueValue :: falseValue :: Nil', and it produce correct result.
But the following comment in `childrenToRecurse` makes me not sure it will
cause any other problems.
{code:java}
// 2. If: common subexpressions will always be evaluated at the beginning, but
the true and
// false expressions in `If` may not get accessed, according to the predicate
// expression. We should only recurse into the predicate expression. {code}
> codegen sum(decimal_column / 2) computes div twice
> --
>
> Key: SPARK-45478
> URL: https://issues.apache.org/jira/browse/SPARK-45478
> Project: Spark
> Issue Type: Improvement
> Components: SQL
>Affects Versions: 3.2.0
>Reporter: Zhizhen Hou
>Priority: Minor
>
> *The SQL to reproduce*
> {code:java}
> create table t_dec (c1 decimal(6,2));
> insert into t_dec values(1.0),(2.0),(null),(3.0);
> explain codegen select sum(c1/2) from t_dec; {code}
>
> *Reasons may cause the result:*
>
> Function sum use If expression in updateExpressions:
> `If(child.isNull, sum, sum + KnownNotNull(child).cast(resultType))`
>
> The three variables in if expression like this.
> {code:java}
> predicate: isnull(CheckOverflow((promote_precision(input[2, decimal(10,0),
> true]) / 2), DecimalType(16,6), true))trueValue: input[0, decimal(26,6),
> true]falseValue: (input[0, decimal(26,6), true] +
> cast(knownnotnull(CheckOverflow((promote_precision(input[2, decimal(10,0),
> true]) / 2), DecimalType(16,6), true)) as decimal(26,6))) {code}
> In sub expression elimination, only predicate is evaluated in
> EquivalentExpressions# childrenToRecurse
> {code:java}
> private def childrenToRecurse(expr: Expression): Seq[Expression] = expr match
> {
> case _: CodegenFallback => Nil
> case i: If => i.predicate :: Nil
> case c: CaseWhen =>
[jira] [Created] (SPARK-45478) codegen sum(decimal_column / 2) computes div twice
Zhizhen Hou created SPARK-45478:
---
Summary: codegen sum(decimal_column / 2) computes div twice
Key: SPARK-45478
URL: https://issues.apache.org/jira/browse/SPARK-45478
Project: Spark
Issue Type: Improvement
Components: SQL
Affects Versions: 3.2.0
Reporter: Zhizhen Hou
*The SQL to reproduce*
create table t_dec (c1 decimal(6,2));
insert into t_dec values(1.0),(2.0),(null),(3.0);
explain codegen select sum(c1/2) from t_dec;
*Reasons may cause the result:*
Function sum use If expression in updateExpressions:
`If(child.isNull, sum, sum + KnownNotNull(child).cast(resultType))`
The three variables in if expression like this.
{code:java}
predicate: isnull(CheckOverflow((promote_precision(input[2, decimal(10,0),
true]) / 2), DecimalType(16,6), true))trueValue: input[0, decimal(26,6),
true]falseValue: (input[0, decimal(26,6), true] +
cast(knownnotnull(CheckOverflow((promote_precision(input[2, decimal(10,0),
true]) / 2), DecimalType(16,6), true)) as decimal(26,6))) {code}
In sub expression elimination, only predicate is evaluated in
EquivalentExpressions# childrenToRecurse
{code:java}
private def childrenToRecurse(expr: Expression): Seq[Expression] = expr match {
case _: CodegenFallback => Nil
case i: If => i.predicate :: Nil
case c: CaseWhen => c.children.head :: Nil
case c: Coalesce => c.children.head :: Nil
case other => other.children
} {code}
I tried to replace `case i: If => i.predicate :: Nil` with 'case i: If =>
i.predicate :: trueValue :: falseValue :: Nil', and it produce correct result.
But the following comment in `childrenToRecurse` makes me not sure it will
cause any other problems.
{code:java}
// 2. If: common subexpressions will always be evaluated at the beginning, but
the true and
// false expressions in `If` may not get accessed, according to the predicate
// expression. We should only recurse into the predicate expression. {code}
--
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[jira] [Assigned] (SPARK-45474) Support top-level filtering in MasterPage JSON API
[ https://issues.apache.org/jira/browse/SPARK-45474?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Dongjoon Hyun reassigned SPARK-45474: - Assignee: Dongjoon Hyun > Support top-level filtering in MasterPage JSON API > -- > > Key: SPARK-45474 > URL: https://issues.apache.org/jira/browse/SPARK-45474 > Project: Spark > Issue Type: Improvement > Components: Spark Core, Web UI >Affects Versions: 4.0.0 >Reporter: Dongjoon Hyun >Assignee: Dongjoon Hyun >Priority: Major > Labels: pull-request-available > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Resolved] (SPARK-45474) Support top-level filtering in MasterPage JSON API
[ https://issues.apache.org/jira/browse/SPARK-45474?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Dongjoon Hyun resolved SPARK-45474. --- Fix Version/s: 4.0.0 Resolution: Fixed Issue resolved by pull request 43303 [https://github.com/apache/spark/pull/43303] > Support top-level filtering in MasterPage JSON API > -- > > Key: SPARK-45474 > URL: https://issues.apache.org/jira/browse/SPARK-45474 > Project: Spark > Issue Type: Improvement > Components: Spark Core, Web UI >Affects Versions: 4.0.0 >Reporter: Dongjoon Hyun >Assignee: Dongjoon Hyun >Priority: Major > Labels: pull-request-available > Fix For: 4.0.0 > > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-45449) Cache Invalidation Issue with JDBC Table
[
https://issues.apache.org/jira/browse/SPARK-45449?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Wenchen Fan reassigned SPARK-45449:
---
Assignee: liangyongyuan
> Cache Invalidation Issue with JDBC Table
>
>
> Key: SPARK-45449
> URL: https://issues.apache.org/jira/browse/SPARK-45449
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 3.5.0
>Reporter: liangyongyuan
>Assignee: liangyongyuan
>Priority: Major
> Labels: pull-request-available
> Fix For: 4.0.0, 3.5.1
>
>
> We have identified a cache invalidation issue when caching JDBC tables in
> Spark SQL. The cached table is unexpectedly invalidated when queried, leading
> to a re-read from the JDBC table instead of retrieving data from the cache.
> Example SQL:
> {code:java}
> CACHE TABLE cache_t SELECT * FROM mysql.test.test1;
> SELECT * FROM cache_t;
> {code}
> Expected Behavior:
> The expectation is that querying the cached table (cache_t) should retrieve
> the result from the cache without re-evaluating the execution plan.
> Actual Behavior:
> However, the cache is invalidated, and the content is re-read from the JDBC
> table.
> Root Cause:
> The issue lies in the 'CacheData' class, where the comparison involves
> 'JDBCTable.' The 'JDBCTable' is a case class:
> {code:java}
> case class JDBCTable(ident: Identifier, schema: StructType, jdbcOptions:
> JDBCOptions)
> {code}
> The comparison of non-case class components, such as 'jdbcOptions,' involves
> pointer comparison. This leads to unnecessary cache invalidation.
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[jira] [Resolved] (SPARK-45449) Cache Invalidation Issue with JDBC Table
[
https://issues.apache.org/jira/browse/SPARK-45449?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Wenchen Fan resolved SPARK-45449.
-
Fix Version/s: 3.5.1
4.0.0
Resolution: Fixed
Issue resolved by pull request 43258
[https://github.com/apache/spark/pull/43258]
> Cache Invalidation Issue with JDBC Table
>
>
> Key: SPARK-45449
> URL: https://issues.apache.org/jira/browse/SPARK-45449
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 3.5.0
>Reporter: liangyongyuan
>Priority: Major
> Labels: pull-request-available
> Fix For: 3.5.1, 4.0.0
>
>
> We have identified a cache invalidation issue when caching JDBC tables in
> Spark SQL. The cached table is unexpectedly invalidated when queried, leading
> to a re-read from the JDBC table instead of retrieving data from the cache.
> Example SQL:
> {code:java}
> CACHE TABLE cache_t SELECT * FROM mysql.test.test1;
> SELECT * FROM cache_t;
> {code}
> Expected Behavior:
> The expectation is that querying the cached table (cache_t) should retrieve
> the result from the cache without re-evaluating the execution plan.
> Actual Behavior:
> However, the cache is invalidated, and the content is re-read from the JDBC
> table.
> Root Cause:
> The issue lies in the 'CacheData' class, where the comparison involves
> 'JDBCTable.' The 'JDBCTable' is a case class:
> {code:java}
> case class JDBCTable(ident: Identifier, schema: StructType, jdbcOptions:
> JDBCOptions)
> {code}
> The comparison of non-case class components, such as 'jdbcOptions,' involves
> pointer comparison. This leads to unnecessary cache invalidation.
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[jira] [Assigned] (SPARK-45205) Since version 3.2.0, Spark SQL has taken longer to execute "show paritions",probably because of changes introduced by SPARK-35278
[ https://issues.apache.org/jira/browse/SPARK-45205?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wenchen Fan reassigned SPARK-45205: --- Assignee: Qiang Yang > Since version 3.2.0, Spark SQL has taken longer to execute "show > paritions",probably because of changes introduced by SPARK-35278 > -- > > Key: SPARK-45205 > URL: https://issues.apache.org/jira/browse/SPARK-45205 > Project: Spark > Issue Type: Bug > Components: SQL >Affects Versions: 3.2.0 >Reporter: Qiang Yang >Assignee: Qiang Yang >Priority: Major > Labels: pull-request-available > Fix For: 4.0.0, 3.5.1 > > > After SPARK-35378 was changed, I noticed that the execution of statements > such as ‘show parititions test' became slower. > The change point is that the execution process changes from > ExecutedCommandEnec to CommandResultExec, but ExecutedCommandExec originally > implemented the following method > override def executeToIterator(): Iterator[InternalRow] = > sideEffectResult.iterator > CommandResultExec is not rewritten, so when the hasNext method is executed, a > job process is created, resulting in increased time-consuming -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Resolved] (SPARK-45205) Since version 3.2.0, Spark SQL has taken longer to execute "show paritions",probably because of changes introduced by SPARK-35278
[ https://issues.apache.org/jira/browse/SPARK-45205?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wenchen Fan resolved SPARK-45205. - Fix Version/s: 3.5.1 4.0.0 Resolution: Fixed Issue resolved by pull request 43270 [https://github.com/apache/spark/pull/43270] > Since version 3.2.0, Spark SQL has taken longer to execute "show > paritions",probably because of changes introduced by SPARK-35278 > -- > > Key: SPARK-45205 > URL: https://issues.apache.org/jira/browse/SPARK-45205 > Project: Spark > Issue Type: Bug > Components: SQL >Affects Versions: 3.2.0 >Reporter: Qiang Yang >Priority: Major > Labels: pull-request-available > Fix For: 3.5.1, 4.0.0 > > > After SPARK-35378 was changed, I noticed that the execution of statements > such as ‘show parititions test' became slower. > The change point is that the execution process changes from > ExecutedCommandEnec to CommandResultExec, but ExecutedCommandExec originally > implemented the following method > override def executeToIterator(): Iterator[InternalRow] = > sideEffectResult.iterator > CommandResultExec is not rewritten, so when the hasNext method is executed, a > job process is created, resulting in increased time-consuming -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Resolved] (SPARK-45458) Convert IllegalArgumentException to SparkIllegalArgumentException in bitwiseExpressions and add some UT
[ https://issues.apache.org/jira/browse/SPARK-45458?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Max Gekk resolved SPARK-45458. -- Fix Version/s: 4.0.0 Resolution: Fixed Issue resolved by pull request 43271 [https://github.com/apache/spark/pull/43271] > Convert IllegalArgumentException to SparkIllegalArgumentException in > bitwiseExpressions and add some UT > --- > > Key: SPARK-45458 > URL: https://issues.apache.org/jira/browse/SPARK-45458 > Project: Spark > Issue Type: Improvement > Components: SQL >Affects Versions: 4.0.0 >Reporter: BingKun Pan >Assignee: BingKun Pan >Priority: Minor > Labels: pull-request-available > Fix For: 4.0.0 > > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-45458) Convert IllegalArgumentException to SparkIllegalArgumentException in bitwiseExpressions and add some UT
[ https://issues.apache.org/jira/browse/SPARK-45458?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Max Gekk reassigned SPARK-45458: Assignee: BingKun Pan > Convert IllegalArgumentException to SparkIllegalArgumentException in > bitwiseExpressions and add some UT > --- > > Key: SPARK-45458 > URL: https://issues.apache.org/jira/browse/SPARK-45458 > Project: Spark > Issue Type: Improvement > Components: SQL >Affects Versions: 4.0.0 >Reporter: BingKun Pan >Assignee: BingKun Pan >Priority: Minor > Labels: pull-request-available > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-45477) Use `matrix.java/inputs.java` to replace the hardcoded Java version in `test results/unit tests log` naming
[ https://issues.apache.org/jira/browse/SPARK-45477?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] ASF GitHub Bot updated SPARK-45477: --- Labels: pull-request-available (was: ) > Use `matrix.java/inputs.java` to replace the hardcoded Java version in `test > results/unit tests log` naming > --- > > Key: SPARK-45477 > URL: https://issues.apache.org/jira/browse/SPARK-45477 > Project: Spark > Issue Type: Improvement > Components: Project Infra >Affects Versions: 4.0.0 >Reporter: Yang Jie >Priority: Minor > Labels: pull-request-available > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Created] (SPARK-45477) Use `matrix.java/inputs.java` to replace the hardcoded Java version in `test results/unit tests log` naming
Yang Jie created SPARK-45477: Summary: Use `matrix.java/inputs.java` to replace the hardcoded Java version in `test results/unit tests log` naming Key: SPARK-45477 URL: https://issues.apache.org/jira/browse/SPARK-45477 Project: Spark Issue Type: Improvement Components: Project Infra Affects Versions: 4.0.0 Reporter: Yang Jie -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
