[jira] [Commented] (SPARK-14492) Spark SQL 1.6.0 does not work with external Hive metastore version lower than 1.2.0; its not backwards compatible with earlier version
[
https://issues.apache.org/jira/browse/SPARK-14492?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16691828#comment-16691828
]
Sunil Rangwani commented on SPARK-14492:
[~ottomata] you are using a CDH version I believe. I don't know what
dependencies their parcels include.
This bug was originally found in the open source version built using maven as
described here
[https://spark.apache.org/docs/latest/building-spark.html#building-with-hive-and-jdbc-support]
> Spark SQL 1.6.0 does not work with external Hive metastore version lower than
> 1.2.0; its not backwards compatible with earlier version
> --
>
> Key: SPARK-14492
> URL: https://issues.apache.org/jira/browse/SPARK-14492
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 1.6.0
>Reporter: Sunil Rangwani
>Priority: Critical
>
> Spark SQL when configured with a Hive version lower than 1.2.0 throws a
> java.lang.NoSuchFieldError for the field METASTORE_CLIENT_SOCKET_LIFETIME
> because this field was introduced in Hive 1.2.0 so its not possible to use
> Hive metastore version lower than 1.2.0 with Spark. The details of the Hive
> changes can be found here: https://issues.apache.org/jira/browse/HIVE-9508
> {code:java}
> Exception in thread "main" java.lang.NoSuchFieldError:
> METASTORE_CLIENT_SOCKET_LIFETIME
> at
> org.apache.spark.sql.hive.HiveContext.configure(HiveContext.scala:500)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive$lzycompute(HiveContext.scala:250)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive(HiveContext.scala:237)
> at org.apache.spark.sql.hive.HiveContext.setConf(HiveContext.scala:441)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:272)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:271)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at org.apache.spark.sql.SQLContext.(SQLContext.scala:271)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:90)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:101)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLEnv$.init(SparkSQLEnv.scala:58)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.(SparkSQLCLIDriver.scala:267)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:139)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
> at
> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> {code}
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[jira] [Commented] (SPARK-14492) Spark SQL 1.6.0 does not work with external Hive metastore version lower than 1.2.0; its not backwards compatible with earlier version
[
https://issues.apache.org/jira/browse/SPARK-14492?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16691811#comment-16691811
]
Sunil Rangwani commented on SPARK-14492:
[~srowen]
Please reopen this.
It is not about building with varying versions of Hive. After building with the
required version of Hive, it gives a runtime error - as explained in my earlier
comment.
> Spark SQL 1.6.0 does not work with external Hive metastore version lower than
> 1.2.0; its not backwards compatible with earlier version
> --
>
> Key: SPARK-14492
> URL: https://issues.apache.org/jira/browse/SPARK-14492
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 1.6.0
>Reporter: Sunil Rangwani
>Priority: Critical
>
> Spark SQL when configured with a Hive version lower than 1.2.0 throws a
> java.lang.NoSuchFieldError for the field METASTORE_CLIENT_SOCKET_LIFETIME
> because this field was introduced in Hive 1.2.0 so its not possible to use
> Hive metastore version lower than 1.2.0 with Spark. The details of the Hive
> changes can be found here: https://issues.apache.org/jira/browse/HIVE-9508
> {code:java}
> Exception in thread "main" java.lang.NoSuchFieldError:
> METASTORE_CLIENT_SOCKET_LIFETIME
> at
> org.apache.spark.sql.hive.HiveContext.configure(HiveContext.scala:500)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive$lzycompute(HiveContext.scala:250)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive(HiveContext.scala:237)
> at org.apache.spark.sql.hive.HiveContext.setConf(HiveContext.scala:441)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:272)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:271)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at org.apache.spark.sql.SQLContext.(SQLContext.scala:271)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:90)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:101)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLEnv$.init(SparkSQLEnv.scala:58)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.(SparkSQLCLIDriver.scala:267)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:139)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
> at
> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> {code}
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[jira] [Commented] (SPARK-14492) Spark SQL 1.6.0 does not work with external Hive metastore version lower than 1.2.0; its not backwards compatible with earlier version
[
https://issues.apache.org/jira/browse/SPARK-14492?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16690595#comment-16690595
]
Sunil Rangwani commented on SPARK-14492:
[~srowen] This is exactly not that. It is not about building with varying
versions of Hive. Please refer to the discussions above.
The {{java.lang.NoSuchFieldError}} is a runtime error.
Really the documentation should be updated to say the minimum supported version
of Hive is 1.2.x or this bug should be fixed to support different versions of
Hive as the documentation states.
> Spark SQL 1.6.0 does not work with external Hive metastore version lower than
> 1.2.0; its not backwards compatible with earlier version
> --
>
> Key: SPARK-14492
> URL: https://issues.apache.org/jira/browse/SPARK-14492
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 1.6.0
>Reporter: Sunil Rangwani
>Priority: Critical
>
> Spark SQL when configured with a Hive version lower than 1.2.0 throws a
> java.lang.NoSuchFieldError for the field METASTORE_CLIENT_SOCKET_LIFETIME
> because this field was introduced in Hive 1.2.0 so its not possible to use
> Hive metastore version lower than 1.2.0 with Spark. The details of the Hive
> changes can be found here: https://issues.apache.org/jira/browse/HIVE-9508
> {code:java}
> Exception in thread "main" java.lang.NoSuchFieldError:
> METASTORE_CLIENT_SOCKET_LIFETIME
> at
> org.apache.spark.sql.hive.HiveContext.configure(HiveContext.scala:500)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive$lzycompute(HiveContext.scala:250)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive(HiveContext.scala:237)
> at org.apache.spark.sql.hive.HiveContext.setConf(HiveContext.scala:441)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:272)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:271)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at org.apache.spark.sql.SQLContext.(SQLContext.scala:271)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:90)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:101)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLEnv$.init(SparkSQLEnv.scala:58)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.(SparkSQLCLIDriver.scala:267)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:139)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
> at
> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> {code}
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[jira] [Comment Edited] (SPARK-14492) Spark SQL 1.6.0 does not work with external Hive metastore version lower than 1.2.0; its not backwards compatible with earlier version
[
https://issues.apache.org/jira/browse/SPARK-14492?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16690595#comment-16690595
]
Sunil Rangwani edited comment on SPARK-14492 at 11/17/18 3:27 PM:
--
[~srowen] This is exactly not that. It is not about building with varying
versions of Hive. Please refer to the discussions above.
The {{java.lang.NoSuchFieldError}} is a runtime error. The version used at
runtime does not have this field!
Really the documentation should be updated to say the minimum supported version
of Hive is 1.2.x or this bug should be fixed to support different versions of
Hive as the documentation states.
was (Author: sunil.rangwani):
[~srowen] This is exactly not that. It is not about building with varying
versions of Hive. Please refer to the discussions above.
The {{java.lang.NoSuchFieldError}} is a runtime error.
Really the documentation should be updated to say the minimum supported version
of Hive is 1.2.x or this bug should be fixed to support different versions of
Hive as the documentation states.
> Spark SQL 1.6.0 does not work with external Hive metastore version lower than
> 1.2.0; its not backwards compatible with earlier version
> --
>
> Key: SPARK-14492
> URL: https://issues.apache.org/jira/browse/SPARK-14492
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 1.6.0
>Reporter: Sunil Rangwani
>Priority: Critical
>
> Spark SQL when configured with a Hive version lower than 1.2.0 throws a
> java.lang.NoSuchFieldError for the field METASTORE_CLIENT_SOCKET_LIFETIME
> because this field was introduced in Hive 1.2.0 so its not possible to use
> Hive metastore version lower than 1.2.0 with Spark. The details of the Hive
> changes can be found here: https://issues.apache.org/jira/browse/HIVE-9508
> {code:java}
> Exception in thread "main" java.lang.NoSuchFieldError:
> METASTORE_CLIENT_SOCKET_LIFETIME
> at
> org.apache.spark.sql.hive.HiveContext.configure(HiveContext.scala:500)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive$lzycompute(HiveContext.scala:250)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive(HiveContext.scala:237)
> at org.apache.spark.sql.hive.HiveContext.setConf(HiveContext.scala:441)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:272)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:271)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at org.apache.spark.sql.SQLContext.(SQLContext.scala:271)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:90)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:101)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLEnv$.init(SparkSQLEnv.scala:58)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.(SparkSQLCLIDriver.scala:267)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:139)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
> at
> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> {code}
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[jira] [Comment Edited] (SPARK-14492) Spark SQL 1.6.0 does not work with external Hive metastore version lower than 1.2.0; its not backwards compatible with earlier version
[
https://issues.apache.org/jira/browse/SPARK-14492?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15955510#comment-15955510
]
Sunil Rangwani edited comment on SPARK-14492 at 4/4/17 10:42 PM:
-
{quote}If this were true, that it doesn't work with 1.2.1 because of a
NoSuchFieldError, then it would not have compiled vs Hive 1.2.1 even. Right?
{quote}
To clarify, I meant that if I left the value of the property as 1.2.1 but used
an external metastore of an older version, that doesn't work. It gives a
different error but not NoSuchFieldError
{quote}The field you show was added in 1.2.0, according to the JIRA, not 1.2.1
Yet you say 1.2.0 works while 1.2.1 doesn't.{quote}
All versions upwards of 1.2.0 do work fine. The minimum version of external
metastore that works is 1.2.0 (I was just highlighting I didn't have to upgrade
upto 1.2.1) All versions upto 1.2.0 give a NoSuchFieldError for different
fields.
was (Author: sunil.rangwani):
{quote}If this were true, that it doesn't work with 1.2.1 because of a
NoSuchFieldError, then it would not have compiled vs Hive 1.2.1 even. Right?
{quote}
Sorry, to clarify I meant if I left the value of the property as 1.2.1 but used
an external metastore of an older version, that didnt work. It gives a
different error I don't remember but it was not NoSuchFieldError
{quote}The field you show was added in 1.2.0, according to the JIRA, not 1.2.1
Yet you say 1.2.0 works while 1.2.1 doesn't.{quote}
All versions upwards of 1.2.0 do work fine. The minimum version of external
metastore that works is 1.2.0 (I was just highlighting I didn't have to upgrade
upto 1.2.1) All versions upto 1.2.0 give a NoSuchFieldError for different
fields.
> Spark SQL 1.6.0 does not work with external Hive metastore version lower than
> 1.2.0; its not backwards compatible with earlier version
> --
>
> Key: SPARK-14492
> URL: https://issues.apache.org/jira/browse/SPARK-14492
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 1.6.0
>Reporter: Sunil Rangwani
>Priority: Critical
>
> Spark SQL when configured with a Hive version lower than 1.2.0 throws a
> java.lang.NoSuchFieldError for the field METASTORE_CLIENT_SOCKET_LIFETIME
> because this field was introduced in Hive 1.2.0 so its not possible to use
> Hive metastore version lower than 1.2.0 with Spark. The details of the Hive
> changes can be found here: https://issues.apache.org/jira/browse/HIVE-9508
> {code:java}
> Exception in thread "main" java.lang.NoSuchFieldError:
> METASTORE_CLIENT_SOCKET_LIFETIME
> at
> org.apache.spark.sql.hive.HiveContext.configure(HiveContext.scala:500)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive$lzycompute(HiveContext.scala:250)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive(HiveContext.scala:237)
> at org.apache.spark.sql.hive.HiveContext.setConf(HiveContext.scala:441)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:272)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:271)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at org.apache.spark.sql.SQLContext.(SQLContext.scala:271)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:90)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:101)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLEnv$.init(SparkSQLEnv.scala:58)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.(SparkSQLCLIDriver.scala:267)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:139)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
> at
> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
> at
[jira] [Comment Edited] (SPARK-14492) Spark SQL 1.6.0 does not work with external Hive metastore version lower than 1.2.0; its not backwards compatible with earlier version
[
https://issues.apache.org/jira/browse/SPARK-14492?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15955510#comment-15955510
]
Sunil Rangwani edited comment on SPARK-14492 at 4/4/17 6:06 PM:
{quote}If this were true, that it doesn't work with 1.2.1 because of a
NoSuchFieldError, then it would not have compiled vs Hive 1.2.1 even. Right?
{quote}
Sorry, to clarify I meant if I left the value of the property as 1.2.1 but used
an external metastore of an older version, that didnt work. It gives a
different error I don't remember but it was not NoSuchFieldError
{quote}The field you show was added in 1.2.0, according to the JIRA, not 1.2.1
Yet you say 1.2.0 works while 1.2.1 doesn't.{quote}
All versions upwards of 1.2.0 do work fine. The minimum version of external
metastore that works is 1.2.0 (I was just highlighting I didn't have to upgrade
upto 1.2.1) All versions upto 1.2.0 give a NoSuchFieldError for different
fields.
was (Author: sunil.rangwani):
{quote}If this were true, that it doesn't work with 1.2.1 because of a
NoSuchFieldError, then it would not have compiled vs Hive 1.2.1 even. Right?
{quote}
Sorry, to clarify I meant if I left the value of the property as 1.2.1 but used
an external metastore of an older version, that didnt work. It gives a
different error I don't remember but it was not NoSuchFieldError
{quote}The field you show was added in 1.2.0, according to the JIRA, not 1.2.1
Yet you say 1.2.0 works while 1.2.1 doesn't.{quote}
All versions upwards of 1.2.0 does work fine. The minimum version of external
metastore that works is 1.2.0 (I was just highlighting I didn't have to upgrade
upto 1.2.1) All versions upto 1.2.0 give a NoSuchFieldError for different
fields.
> Spark SQL 1.6.0 does not work with external Hive metastore version lower than
> 1.2.0; its not backwards compatible with earlier version
> --
>
> Key: SPARK-14492
> URL: https://issues.apache.org/jira/browse/SPARK-14492
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 1.6.0
>Reporter: Sunil Rangwani
>Priority: Critical
>
> Spark SQL when configured with a Hive version lower than 1.2.0 throws a
> java.lang.NoSuchFieldError for the field METASTORE_CLIENT_SOCKET_LIFETIME
> because this field was introduced in Hive 1.2.0 so its not possible to use
> Hive metastore version lower than 1.2.0 with Spark. The details of the Hive
> changes can be found here: https://issues.apache.org/jira/browse/HIVE-9508
> {code:java}
> Exception in thread "main" java.lang.NoSuchFieldError:
> METASTORE_CLIENT_SOCKET_LIFETIME
> at
> org.apache.spark.sql.hive.HiveContext.configure(HiveContext.scala:500)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive$lzycompute(HiveContext.scala:250)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive(HiveContext.scala:237)
> at org.apache.spark.sql.hive.HiveContext.setConf(HiveContext.scala:441)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:272)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:271)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at org.apache.spark.sql.SQLContext.(SQLContext.scala:271)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:90)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:101)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLEnv$.init(SparkSQLEnv.scala:58)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.(SparkSQLCLIDriver.scala:267)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:139)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
> at
> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
> at
[jira] [Comment Edited] (SPARK-14492) Spark SQL 1.6.0 does not work with external Hive metastore version lower than 1.2.0; its not backwards compatible with earlier version
[
https://issues.apache.org/jira/browse/SPARK-14492?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15955510#comment-15955510
]
Sunil Rangwani edited comment on SPARK-14492 at 4/4/17 6:00 PM:
{quote}If this were true, that it doesn't work with 1.2.1 because of a
NoSuchFieldError, then it would not have compiled vs Hive 1.2.1 even. Right?
{quote}
Sorry, to clarify I meant if I left the value of the property as 1.2.1 but used
an external metastore of an older version, that didnt work. It gives a
different error I don't remember but it was not NoSuchFieldError
{quote}The field you show was added in 1.2.0, according to the JIRA, not 1.2.1
Yet you say 1.2.0 works while 1.2.1 doesn't.{quote}
All versions upwards of 1.2.0 does work fine. The minimum version of external
metastore that works is 1.2.0 (I was just highlighting I didn't have to upgrade
upto 1.2.1) All versions upto 1.2.0 give a NoSuchFieldError for different
fields.
was (Author: sunil.rangwani):
{quote}If this were true, that it doesn't work with 1.2.1 because of a
NoSuchFieldError, then it would not have compiled vs Hive 1.2.1 even. Right?
{quote}
Sorry, to clarify I meant if I left the value of the property as 1.2.1 but used
an external metastore of an older version, that didnt work. It gives a
different error I don't remember but it was not NoSuchFieldError
{quote}The field you show was added in 1.2.0, according to the JIRA, not 1.2.1
Yet you say 1.2.0 works while 1.2.1 doesn't.{quote}
All versions upwards of 1.2.0 does work fine. The minimum version of external
metastore that works is 1.2.0. All versions upto 1.2.0 give a NoSuchFieldError
for different fields.
> Spark SQL 1.6.0 does not work with external Hive metastore version lower than
> 1.2.0; its not backwards compatible with earlier version
> --
>
> Key: SPARK-14492
> URL: https://issues.apache.org/jira/browse/SPARK-14492
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 1.6.0
>Reporter: Sunil Rangwani
>Priority: Critical
>
> Spark SQL when configured with a Hive version lower than 1.2.0 throws a
> java.lang.NoSuchFieldError for the field METASTORE_CLIENT_SOCKET_LIFETIME
> because this field was introduced in Hive 1.2.0 so its not possible to use
> Hive metastore version lower than 1.2.0 with Spark. The details of the Hive
> changes can be found here: https://issues.apache.org/jira/browse/HIVE-9508
> {code:java}
> Exception in thread "main" java.lang.NoSuchFieldError:
> METASTORE_CLIENT_SOCKET_LIFETIME
> at
> org.apache.spark.sql.hive.HiveContext.configure(HiveContext.scala:500)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive$lzycompute(HiveContext.scala:250)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive(HiveContext.scala:237)
> at org.apache.spark.sql.hive.HiveContext.setConf(HiveContext.scala:441)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:272)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:271)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at org.apache.spark.sql.SQLContext.(SQLContext.scala:271)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:90)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:101)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLEnv$.init(SparkSQLEnv.scala:58)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.(SparkSQLCLIDriver.scala:267)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:139)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
> at
> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
> at
[jira] [Comment Edited] (SPARK-14492) Spark SQL 1.6.0 does not work with external Hive metastore version lower than 1.2.0; its not backwards compatible with earlier version
[
https://issues.apache.org/jira/browse/SPARK-14492?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15955510#comment-15955510
]
Sunil Rangwani edited comment on SPARK-14492 at 4/4/17 5:58 PM:
{quote}If this were true, that it doesn't work with 1.2.1 because of a
NoSuchFieldError, then it would not have compiled vs Hive 1.2.1 even. Right?
{quote}
Sorry, to clarify I meant if I left the value of the property as 1.2.1 but used
an external metastore of an older version, that didnt work. It gives a
different error I don't remember but it was not NoSuchFieldError
{quote}The field you show was added in 1.2.0, according to the JIRA, not 1.2.1
Yet you say 1.2.0 works while 1.2.1 doesn't.{quote}
All versions upwards of 1.2.0 does work fine. The minimum version of external
metastore that works is 1.2.0. All versions upto 1.2.0 give a NoSuchFieldError
for different fields.
was (Author: sunil.rangwani):
{quote}If this were true, that it doesn't work with 1.2.1 because of a
NoSuchFieldError, then it would not have compiled vs Hive 1.2.1 even. Right?
{quote}
Sorry, to clarify I meant if I left the value of the property as 1.2.1 but used
an external metastore of an older version, that didnt work. It gives a
different error I don't remember but it was not NoSuchFieldError
{quote}The field you show was added in 1.2.0, according to the JIRA, not 1.2.1
Yet you say 1.2.0 works while 1.2.1 doesn't.{quote}
All versions upwards of 1.2.0 does work fine. The minimum version of external
metastore that works is 1.2.0
> Spark SQL 1.6.0 does not work with external Hive metastore version lower than
> 1.2.0; its not backwards compatible with earlier version
> --
>
> Key: SPARK-14492
> URL: https://issues.apache.org/jira/browse/SPARK-14492
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 1.6.0
>Reporter: Sunil Rangwani
>Priority: Critical
>
> Spark SQL when configured with a Hive version lower than 1.2.0 throws a
> java.lang.NoSuchFieldError for the field METASTORE_CLIENT_SOCKET_LIFETIME
> because this field was introduced in Hive 1.2.0 so its not possible to use
> Hive metastore version lower than 1.2.0 with Spark. The details of the Hive
> changes can be found here: https://issues.apache.org/jira/browse/HIVE-9508
> {code:java}
> Exception in thread "main" java.lang.NoSuchFieldError:
> METASTORE_CLIENT_SOCKET_LIFETIME
> at
> org.apache.spark.sql.hive.HiveContext.configure(HiveContext.scala:500)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive$lzycompute(HiveContext.scala:250)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive(HiveContext.scala:237)
> at org.apache.spark.sql.hive.HiveContext.setConf(HiveContext.scala:441)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:272)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:271)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at org.apache.spark.sql.SQLContext.(SQLContext.scala:271)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:90)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:101)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLEnv$.init(SparkSQLEnv.scala:58)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.(SparkSQLCLIDriver.scala:267)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:139)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
> at
> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> {code}
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[jira] [Comment Edited] (SPARK-14492) Spark SQL 1.6.0 does not work with external Hive metastore version lower than 1.2.0; its not backwards compatible with earlier version
[
https://issues.apache.org/jira/browse/SPARK-14492?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15955510#comment-15955510
]
Sunil Rangwani edited comment on SPARK-14492 at 4/4/17 5:55 PM:
{quote}If this were true, that it doesn't work with 1.2.1 because of a
NoSuchFieldError, then it would not have compiled vs Hive 1.2.1 even. Right?
{quote}
Sorry, to clarify I meant if I left the value of the property as 1.2.1 but used
an external metastore of an older version, that didnt work. It gives a
different error I don't remember but it was not NoSuchFieldError
{quote}The field you show was added in 1.2.0, according to the JIRA, not 1.2.1
Yet you say 1.2.0 works while 1.2.1 doesn't.{quote}
All versions upwards of 1.2.0 does work fine. The minimum version of external
metastore that works is 1.2.0
was (Author: sunil.rangwani):
{quote}If this were true, that it doesn't work with 1.2.1 because of a
NoSuchFieldError, then it would not have compiled vs Hive 1.2.1 even. Right?
{quote}
Sorry, to clarify I meant if I left the value of the property as 1.2.1 but used
an external metastore of an older version, that didnt work. It did not give me
a different error I don't remember but it was not NoSuchFieldError
{quote}The field you show was added in 1.2.0, according to the JIRA, not 1.2.1
Yet you say 1.2.0 works while 1.2.1 doesn't.{quote}
All versions upwards of 1.2.0 does work fine. The minimum version of external
metastore that works is 1.2.0
> Spark SQL 1.6.0 does not work with external Hive metastore version lower than
> 1.2.0; its not backwards compatible with earlier version
> --
>
> Key: SPARK-14492
> URL: https://issues.apache.org/jira/browse/SPARK-14492
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 1.6.0
>Reporter: Sunil Rangwani
>Priority: Critical
>
> Spark SQL when configured with a Hive version lower than 1.2.0 throws a
> java.lang.NoSuchFieldError for the field METASTORE_CLIENT_SOCKET_LIFETIME
> because this field was introduced in Hive 1.2.0 so its not possible to use
> Hive metastore version lower than 1.2.0 with Spark. The details of the Hive
> changes can be found here: https://issues.apache.org/jira/browse/HIVE-9508
> {code:java}
> Exception in thread "main" java.lang.NoSuchFieldError:
> METASTORE_CLIENT_SOCKET_LIFETIME
> at
> org.apache.spark.sql.hive.HiveContext.configure(HiveContext.scala:500)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive$lzycompute(HiveContext.scala:250)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive(HiveContext.scala:237)
> at org.apache.spark.sql.hive.HiveContext.setConf(HiveContext.scala:441)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:272)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:271)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at org.apache.spark.sql.SQLContext.(SQLContext.scala:271)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:90)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:101)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLEnv$.init(SparkSQLEnv.scala:58)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.(SparkSQLCLIDriver.scala:267)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:139)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
> at
> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> {code}
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[jira] [Commented] (SPARK-14492) Spark SQL 1.6.0 does not work with external Hive metastore version lower than 1.2.0; its not backwards compatible with earlier version
[
https://issues.apache.org/jira/browse/SPARK-14492?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15955510#comment-15955510
]
Sunil Rangwani commented on SPARK-14492:
{quote}If this were true, that it doesn't work with 1.2.1 because of a
NoSuchFieldError, then it would not have compiled vs Hive 1.2.1 even. Right?
{quote}
Sorry, to clarify I meant if I left the value of the property as 1.2.1 but used
an external metastore of an older version, that didnt work. It did not give me
a different error I don't remember but it was not NoSuchFieldError
{quote}The field you show was added in 1.2.0, according to the JIRA, not 1.2.1
Yet you say 1.2.0 works while 1.2.1 doesn't.{quote}
All versions upwards of 1.2.0 does work fine. The minimum version of external
metastore that works is 1.2.0
> Spark SQL 1.6.0 does not work with external Hive metastore version lower than
> 1.2.0; its not backwards compatible with earlier version
> --
>
> Key: SPARK-14492
> URL: https://issues.apache.org/jira/browse/SPARK-14492
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 1.6.0
>Reporter: Sunil Rangwani
>Priority: Critical
>
> Spark SQL when configured with a Hive version lower than 1.2.0 throws a
> java.lang.NoSuchFieldError for the field METASTORE_CLIENT_SOCKET_LIFETIME
> because this field was introduced in Hive 1.2.0 so its not possible to use
> Hive metastore version lower than 1.2.0 with Spark. The details of the Hive
> changes can be found here: https://issues.apache.org/jira/browse/HIVE-9508
> {code:java}
> Exception in thread "main" java.lang.NoSuchFieldError:
> METASTORE_CLIENT_SOCKET_LIFETIME
> at
> org.apache.spark.sql.hive.HiveContext.configure(HiveContext.scala:500)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive$lzycompute(HiveContext.scala:250)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive(HiveContext.scala:237)
> at org.apache.spark.sql.hive.HiveContext.setConf(HiveContext.scala:441)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:272)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:271)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at org.apache.spark.sql.SQLContext.(SQLContext.scala:271)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:90)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:101)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLEnv$.init(SparkSQLEnv.scala:58)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.(SparkSQLCLIDriver.scala:267)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:139)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
> at
> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> {code}
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[jira] [Comment Edited] (SPARK-14492) Spark SQL 1.6.0 does not work with external Hive metastore version lower than 1.2.0; its not backwards compatible with earlier version
[
https://issues.apache.org/jira/browse/SPARK-14492?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15955315#comment-15955315
]
Sunil Rangwani edited comment on SPARK-14492 at 4/4/17 4:11 PM:
{quote} How would updating your external Hive metastore affect the code that
Spark uses at runtime? {quote}
It can't. It uses the jars specified in spark.sql.hive.metastore.jars property
{quote}This isn't even consistent with the title of this JIRA.{quote}
I have changed the title to make it a better reflection of the actual problem.
was (Author: sunil.rangwani):
{quote} How would updating your external Hive metastore affect the code that
Spark uses at runtime? {quote}
It can't. It uses the jars specified in spark.sql.hive.metastore.jars property
{quote}This isn't even consistent with the title of this JIRA.{quote}
I will change the title to make it a better reflection of the actual problem.
> Spark SQL 1.6.0 does not work with external Hive metastore version lower than
> 1.2.0; its not backwards compatible with earlier version
> --
>
> Key: SPARK-14492
> URL: https://issues.apache.org/jira/browse/SPARK-14492
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 1.6.0
>Reporter: Sunil Rangwani
>Priority: Critical
>
> Spark SQL when configured with a Hive version lower than 1.2.0 throws a
> java.lang.NoSuchFieldError for the field METASTORE_CLIENT_SOCKET_LIFETIME
> because this field was introduced in Hive 1.2.0 so its not possible to use
> Hive metastore version lower than 1.2.0 with Spark. The details of the Hive
> changes can be found here: https://issues.apache.org/jira/browse/HIVE-9508
> {code:java}
> Exception in thread "main" java.lang.NoSuchFieldError:
> METASTORE_CLIENT_SOCKET_LIFETIME
> at
> org.apache.spark.sql.hive.HiveContext.configure(HiveContext.scala:500)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive$lzycompute(HiveContext.scala:250)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive(HiveContext.scala:237)
> at org.apache.spark.sql.hive.HiveContext.setConf(HiveContext.scala:441)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:272)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:271)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at org.apache.spark.sql.SQLContext.(SQLContext.scala:271)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:90)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:101)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLEnv$.init(SparkSQLEnv.scala:58)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.(SparkSQLCLIDriver.scala:267)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:139)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
> at
> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> {code}
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[jira] [Updated] (SPARK-14492) Spark SQL 1.6.0 does not work with external Hive metastore version lower than 1.2.0; its not backwards compatible with earlier version
[
https://issues.apache.org/jira/browse/SPARK-14492?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sunil Rangwani updated SPARK-14492:
---
Summary: Spark SQL 1.6.0 does not work with external Hive metastore version
lower than 1.2.0; its not backwards compatible with earlier version (was:
Spark SQL 1.6.0 does not work with Hive version lower than 1.2.0; its not
backwards compatible with earlier version)
> Spark SQL 1.6.0 does not work with external Hive metastore version lower than
> 1.2.0; its not backwards compatible with earlier version
> --
>
> Key: SPARK-14492
> URL: https://issues.apache.org/jira/browse/SPARK-14492
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 1.6.0
>Reporter: Sunil Rangwani
>Priority: Critical
>
> Spark SQL when configured with a Hive version lower than 1.2.0 throws a
> java.lang.NoSuchFieldError for the field METASTORE_CLIENT_SOCKET_LIFETIME
> because this field was introduced in Hive 1.2.0 so its not possible to use
> Hive metastore version lower than 1.2.0 with Spark. The details of the Hive
> changes can be found here: https://issues.apache.org/jira/browse/HIVE-9508
> {code:java}
> Exception in thread "main" java.lang.NoSuchFieldError:
> METASTORE_CLIENT_SOCKET_LIFETIME
> at
> org.apache.spark.sql.hive.HiveContext.configure(HiveContext.scala:500)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive$lzycompute(HiveContext.scala:250)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive(HiveContext.scala:237)
> at org.apache.spark.sql.hive.HiveContext.setConf(HiveContext.scala:441)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:272)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:271)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at org.apache.spark.sql.SQLContext.(SQLContext.scala:271)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:90)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:101)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLEnv$.init(SparkSQLEnv.scala:58)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.(SparkSQLCLIDriver.scala:267)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:139)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
> at
> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> {code}
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[jira] [Commented] (SPARK-14492) Spark SQL 1.6.0 does not work with external Hive metastore version lower than 1.2.0; its not backwards compatible with earlier version
[
https://issues.apache.org/jira/browse/SPARK-14492?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15955317#comment-15955317
]
Sunil Rangwani commented on SPARK-14492:
Appears to be a problem with version 2.1.0 too as reported by another user
> Spark SQL 1.6.0 does not work with external Hive metastore version lower than
> 1.2.0; its not backwards compatible with earlier version
> --
>
> Key: SPARK-14492
> URL: https://issues.apache.org/jira/browse/SPARK-14492
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 1.6.0
>Reporter: Sunil Rangwani
>Priority: Critical
>
> Spark SQL when configured with a Hive version lower than 1.2.0 throws a
> java.lang.NoSuchFieldError for the field METASTORE_CLIENT_SOCKET_LIFETIME
> because this field was introduced in Hive 1.2.0 so its not possible to use
> Hive metastore version lower than 1.2.0 with Spark. The details of the Hive
> changes can be found here: https://issues.apache.org/jira/browse/HIVE-9508
> {code:java}
> Exception in thread "main" java.lang.NoSuchFieldError:
> METASTORE_CLIENT_SOCKET_LIFETIME
> at
> org.apache.spark.sql.hive.HiveContext.configure(HiveContext.scala:500)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive$lzycompute(HiveContext.scala:250)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive(HiveContext.scala:237)
> at org.apache.spark.sql.hive.HiveContext.setConf(HiveContext.scala:441)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:272)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:271)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at org.apache.spark.sql.SQLContext.(SQLContext.scala:271)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:90)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:101)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLEnv$.init(SparkSQLEnv.scala:58)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.(SparkSQLCLIDriver.scala:267)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:139)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
> at
> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> {code}
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[jira] [Commented] (SPARK-14492) Spark SQL 1.6.0 does not work with Hive version lower than 1.2.0; its not backwards compatible with earlier version
[
https://issues.apache.org/jira/browse/SPARK-14492?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15955315#comment-15955315
]
Sunil Rangwani commented on SPARK-14492:
{quote} How would updating your external Hive metastore affect the code that
Spark uses at runtime? {quote}
It can't. It uses the jars specified in spark.sql.hive.metastore.jars property
{quote}This isn't even consistent with the title of this JIRA.{quote}
I will change the title to make it a better reflection of the actual problem.
> Spark SQL 1.6.0 does not work with Hive version lower than 1.2.0; its not
> backwards compatible with earlier version
> ---
>
> Key: SPARK-14492
> URL: https://issues.apache.org/jira/browse/SPARK-14492
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 1.6.0
>Reporter: Sunil Rangwani
>Priority: Critical
>
> Spark SQL when configured with a Hive version lower than 1.2.0 throws a
> java.lang.NoSuchFieldError for the field METASTORE_CLIENT_SOCKET_LIFETIME
> because this field was introduced in Hive 1.2.0 so its not possible to use
> Hive metastore version lower than 1.2.0 with Spark. The details of the Hive
> changes can be found here: https://issues.apache.org/jira/browse/HIVE-9508
> {code:java}
> Exception in thread "main" java.lang.NoSuchFieldError:
> METASTORE_CLIENT_SOCKET_LIFETIME
> at
> org.apache.spark.sql.hive.HiveContext.configure(HiveContext.scala:500)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive$lzycompute(HiveContext.scala:250)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive(HiveContext.scala:237)
> at org.apache.spark.sql.hive.HiveContext.setConf(HiveContext.scala:441)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:272)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:271)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at org.apache.spark.sql.SQLContext.(SQLContext.scala:271)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:90)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:101)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLEnv$.init(SparkSQLEnv.scala:58)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.(SparkSQLCLIDriver.scala:267)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:139)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
> at
> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> {code}
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[jira] [Comment Edited] (SPARK-14492) Spark SQL 1.6.0 does not work with Hive version lower than 1.2.0; its not backwards compatible with earlier version
[
https://issues.apache.org/jira/browse/SPARK-14492?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15955284#comment-15955284
]
Sunil Rangwani edited comment on SPARK-14492 at 4/4/17 3:58 PM:
[~srowen] Please don't close with a comment "should work" without any helpful
contribution.
Let me describe the issue again:
1. Spark was built with -PHive where it used Hive version 1.2.1
2. config properties for {{spark.sql.hive.metastore.jars}} and
{{spark.sql.hive.metastore.version}} were set for Hive version 1.0.0 as
described in the documentation
3. Tried using spark sql by pointing to a remote external metastore service.
Tried setting 1.2.1 in step #2 which did not work because external metastore
was older version.
Upgraded external metastore service and database to version 1.2.0
{color:red}*(not 1.2.1)*{color} which worked. The reason for this is because
spark uses a Hive config property here
https://github.com/apache/spark/blob/branch-1.6/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveContext.scala#L500
that was introduced only in Hive 1.2.0 as part of
https://issues.apache.org/jira/browse/HIVE-9508
was (Author: sunil.rangwani):
[~srowen] Please don't close with a comment "should work" without any helpful
contribution.
Let me describe the issue again:
1. Spark was built with -PHive where it used Hive version 1.2.1
2. config properties for {{spark.sql.hive.metastore.jars}} and
{{spark.sql.hive.metastore.version}} were set for Hive version 1.0.0 as
described in the documentation
3. Tried using spark sql by pointing to a remote external metastore service.
Tried setting 1.2.1 in step #2 which did not work because external metastore
was older version.
Upgraded external metastore to 1.2.0 {color:red}*(not 1.2.1)*{color} which
worked. The reason for this is because spark uses a Hive config property here
https://github.com/apache/spark/blob/branch-1.6/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveContext.scala#L500
that was introduced only in Hive 1.2.0 as part of
https://issues.apache.org/jira/browse/HIVE-9508
> Spark SQL 1.6.0 does not work with Hive version lower than 1.2.0; its not
> backwards compatible with earlier version
> ---
>
> Key: SPARK-14492
> URL: https://issues.apache.org/jira/browse/SPARK-14492
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 1.6.0
>Reporter: Sunil Rangwani
>Priority: Critical
>
> Spark SQL when configured with a Hive version lower than 1.2.0 throws a
> java.lang.NoSuchFieldError for the field METASTORE_CLIENT_SOCKET_LIFETIME
> because this field was introduced in Hive 1.2.0 so its not possible to use
> Hive metastore version lower than 1.2.0 with Spark. The details of the Hive
> changes can be found here: https://issues.apache.org/jira/browse/HIVE-9508
> {code:java}
> Exception in thread "main" java.lang.NoSuchFieldError:
> METASTORE_CLIENT_SOCKET_LIFETIME
> at
> org.apache.spark.sql.hive.HiveContext.configure(HiveContext.scala:500)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive$lzycompute(HiveContext.scala:250)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive(HiveContext.scala:237)
> at org.apache.spark.sql.hive.HiveContext.setConf(HiveContext.scala:441)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:272)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:271)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at org.apache.spark.sql.SQLContext.(SQLContext.scala:271)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:90)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:101)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLEnv$.init(SparkSQLEnv.scala:58)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.(SparkSQLCLIDriver.scala:267)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:139)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
>
[jira] [Comment Edited] (SPARK-14492) Spark SQL 1.6.0 does not work with Hive version lower than 1.2.0; its not backwards compatible with earlier version
[
https://issues.apache.org/jira/browse/SPARK-14492?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15955284#comment-15955284
]
Sunil Rangwani edited comment on SPARK-14492 at 4/4/17 3:55 PM:
[~srowen] Please don't close with a comment "should work" without any helpful
contribution.
Let me describe the issue again:
1. Spark was built with -PHive where it used Hive version 1.2.1
2. config properties for {{spark.sql.hive.metastore.jars}} and
{{spark.sql.hive.metastore.version}} were set for Hive version 1.0.0 as
described in the documentation
3. Tried using spark sql by pointing to a remote external metastore service.
Tried setting 1.2.1 in step #2 which did not work because external metastore
was older version.
Upgraded external metastore to 1.2.0 {color:red}*(not 1.2.1)*{color} which
worked. The reason for this is because spark uses a Hive config property here
https://github.com/apache/spark/blob/branch-1.6/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveContext.scala#L500
that was introduced only in Hive 1.2.0 as part of
https://issues.apache.org/jira/browse/HIVE-9508
was (Author: sunil.rangwani):
[~srowen] Please don't close with a comment "should work" without any helpful
contribution.
Let me describe the issue again:
1. Spark was built with -PHive where it used Hive version 1.2.1
2. config properties for {{spark.sql.hive.metastore.jars}} and
{{spark.sql.hive.metastore.version}} were set for Hive version 1.0.0 as
described in the documentation
3. Tried using spark sql by pointing to a remote external metastore service.
Tried setting 1.2.1 in step #2 which did not work because external metastore
was older version.
Upgraded external metastore to 1.2.0 {color:red}*(not 1.2.1)*{color} which
worked. The reason for this is because spark uses a Hive config property here
https://github.com/apache/spark/blob/branch-1.6/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveContext.scala#L500
that was introduced only in Hive 1.2.0 as part of
https://issues.apache.org/jira/browse/HIVE-9508
> Spark SQL 1.6.0 does not work with Hive version lower than 1.2.0; its not
> backwards compatible with earlier version
> ---
>
> Key: SPARK-14492
> URL: https://issues.apache.org/jira/browse/SPARK-14492
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 1.6.0
>Reporter: Sunil Rangwani
>Priority: Critical
>
> Spark SQL when configured with a Hive version lower than 1.2.0 throws a
> java.lang.NoSuchFieldError for the field METASTORE_CLIENT_SOCKET_LIFETIME
> because this field was introduced in Hive 1.2.0 so its not possible to use
> Hive metastore version lower than 1.2.0 with Spark. The details of the Hive
> changes can be found here: https://issues.apache.org/jira/browse/HIVE-9508
> {code:java}
> Exception in thread "main" java.lang.NoSuchFieldError:
> METASTORE_CLIENT_SOCKET_LIFETIME
> at
> org.apache.spark.sql.hive.HiveContext.configure(HiveContext.scala:500)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive$lzycompute(HiveContext.scala:250)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive(HiveContext.scala:237)
> at org.apache.spark.sql.hive.HiveContext.setConf(HiveContext.scala:441)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:272)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:271)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at org.apache.spark.sql.SQLContext.(SQLContext.scala:271)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:90)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:101)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLEnv$.init(SparkSQLEnv.scala:58)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.(SparkSQLCLIDriver.scala:267)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:139)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
>
[jira] [Comment Edited] (SPARK-14492) Spark SQL 1.6.0 does not work with Hive version lower than 1.2.0; its not backwards compatible with earlier version
[
https://issues.apache.org/jira/browse/SPARK-14492?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15955284#comment-15955284
]
Sunil Rangwani edited comment on SPARK-14492 at 4/4/17 3:51 PM:
[~srowen] Please don't close with a comment "should work" without any helpful
contribution.
Let me describe the issue again:
1. Spark was built with -PHive where it uses Hive version 1.2.1
2. config properties for {{spark.sql.hive.metastore.jars}} and
{{spark.sql.hive.metastore.version}} were set for Hive version 1.0.0 as
described in the documentation
3. Tried using spark sql by pointing to a remote external metastore service.
Tried setting 1.2.1 in step #2 which did not work because external metastore
was older version.
Upgraded external metastore to 1.2.0 {color:red}*(not 1.2.1)*{color} which
worked. The reason for this is because spark uses a Hive config property here
https://github.com/apache/spark/blob/branch-1.6/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveContext.scala#L500
that was introduced only in Hive 1.2.0 as part of
https://issues.apache.org/jira/browse/HIVE-9508
was (Author: sunil.rangwani):
[~srowen] Please don't close with a comment "should work" without any helpful
contribution.
Let me describe the issue again:
1. Spark was built with -PHive where it used Hive version 1.2.1
2. config properties for {{spark.sql.hive.metastore.jars}} and
{{spark.sql.hive.metastore.version}} were set for Hive version 1.0.0 as
described in the documentation
3. Tried using spark sql by pointing to a remote external metastore service.
Tried setting 1.2.1 in step #2 which did not work because external metastore
was older version.
Upgraded external metastore to 1.2.0 {color:red}*(not 1.2.1)*{color} which
worked. The reason for this is because spark uses a Hive config property here
https://github.com/apache/spark/blob/branch-1.6/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveContext.scala#L500
that was introduced only in Hive 1.2.0 as part of
https://issues.apache.org/jira/browse/HIVE-9508
> Spark SQL 1.6.0 does not work with Hive version lower than 1.2.0; its not
> backwards compatible with earlier version
> ---
>
> Key: SPARK-14492
> URL: https://issues.apache.org/jira/browse/SPARK-14492
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 1.6.0
>Reporter: Sunil Rangwani
>Priority: Critical
>
> Spark SQL when configured with a Hive version lower than 1.2.0 throws a
> java.lang.NoSuchFieldError for the field METASTORE_CLIENT_SOCKET_LIFETIME
> because this field was introduced in Hive 1.2.0 so its not possible to use
> Hive metastore version lower than 1.2.0 with Spark. The details of the Hive
> changes can be found here: https://issues.apache.org/jira/browse/HIVE-9508
> {code:java}
> Exception in thread "main" java.lang.NoSuchFieldError:
> METASTORE_CLIENT_SOCKET_LIFETIME
> at
> org.apache.spark.sql.hive.HiveContext.configure(HiveContext.scala:500)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive$lzycompute(HiveContext.scala:250)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive(HiveContext.scala:237)
> at org.apache.spark.sql.hive.HiveContext.setConf(HiveContext.scala:441)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:272)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:271)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at org.apache.spark.sql.SQLContext.(SQLContext.scala:271)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:90)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:101)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLEnv$.init(SparkSQLEnv.scala:58)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.(SparkSQLCLIDriver.scala:267)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:139)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
>
[jira] [Comment Edited] (SPARK-14492) Spark SQL 1.6.0 does not work with Hive version lower than 1.2.0; its not backwards compatible with earlier version
[
https://issues.apache.org/jira/browse/SPARK-14492?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15955284#comment-15955284
]
Sunil Rangwani edited comment on SPARK-14492 at 4/4/17 3:51 PM:
[~srowen] Please don't close with a comment "should work" without any helpful
contribution.
Let me describe the issue again:
1. Spark was built with -PHive where it used Hive version 1.2.1
2. config properties for {{spark.sql.hive.metastore.jars}} and
{{spark.sql.hive.metastore.version}} were set for Hive version 1.0.0 as
described in the documentation
3. Tried using spark sql by pointing to a remote external metastore service.
Tried setting 1.2.1 in step #2 which did not work because external metastore
was older version.
Upgraded external metastore to 1.2.0 {color:red}*(not 1.2.1)*{color} which
worked. The reason for this is because spark uses a Hive config property here
https://github.com/apache/spark/blob/branch-1.6/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveContext.scala#L500
that was introduced only in Hive 1.2.0 as part of
https://issues.apache.org/jira/browse/HIVE-9508
was (Author: sunil.rangwani):
[~srowen] Please don't close with a comment "should work" without any helpful
contribution.
Let me describe the issue again:
1. Spark was built with -PHive where it uses Hive version 1.2.1
2. config properties for {{spark.sql.hive.metastore.jars}} and
{{spark.sql.hive.metastore.version}} were set for Hive version 1.0.0 as
described in the documentation
3. Tried using spark sql by pointing to a remote external metastore service.
Tried setting 1.2.1 in step #2 which did not work because external metastore
was older version.
Upgraded external metastore to 1.2.0 {color:red}*(not 1.2.1)*{color} which
worked. The reason for this is because spark uses a Hive config property here
https://github.com/apache/spark/blob/branch-1.6/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveContext.scala#L500
that was introduced only in Hive 1.2.0 as part of
https://issues.apache.org/jira/browse/HIVE-9508
> Spark SQL 1.6.0 does not work with Hive version lower than 1.2.0; its not
> backwards compatible with earlier version
> ---
>
> Key: SPARK-14492
> URL: https://issues.apache.org/jira/browse/SPARK-14492
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 1.6.0
>Reporter: Sunil Rangwani
>Priority: Critical
>
> Spark SQL when configured with a Hive version lower than 1.2.0 throws a
> java.lang.NoSuchFieldError for the field METASTORE_CLIENT_SOCKET_LIFETIME
> because this field was introduced in Hive 1.2.0 so its not possible to use
> Hive metastore version lower than 1.2.0 with Spark. The details of the Hive
> changes can be found here: https://issues.apache.org/jira/browse/HIVE-9508
> {code:java}
> Exception in thread "main" java.lang.NoSuchFieldError:
> METASTORE_CLIENT_SOCKET_LIFETIME
> at
> org.apache.spark.sql.hive.HiveContext.configure(HiveContext.scala:500)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive$lzycompute(HiveContext.scala:250)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive(HiveContext.scala:237)
> at org.apache.spark.sql.hive.HiveContext.setConf(HiveContext.scala:441)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:272)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:271)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at org.apache.spark.sql.SQLContext.(SQLContext.scala:271)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:90)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:101)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLEnv$.init(SparkSQLEnv.scala:58)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.(SparkSQLCLIDriver.scala:267)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:139)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
>
[jira] [Reopened] (SPARK-14492) Spark SQL 1.6.0 does not work with Hive version lower than 1.2.0; its not backwards compatible with earlier version
[
https://issues.apache.org/jira/browse/SPARK-14492?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sunil Rangwani reopened SPARK-14492:
> Spark SQL 1.6.0 does not work with Hive version lower than 1.2.0; its not
> backwards compatible with earlier version
> ---
>
> Key: SPARK-14492
> URL: https://issues.apache.org/jira/browse/SPARK-14492
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 1.6.0
>Reporter: Sunil Rangwani
>Priority: Critical
>
> Spark SQL when configured with a Hive version lower than 1.2.0 throws a
> java.lang.NoSuchFieldError for the field METASTORE_CLIENT_SOCKET_LIFETIME
> because this field was introduced in Hive 1.2.0 so its not possible to use
> Hive metastore version lower than 1.2.0 with Spark. The details of the Hive
> changes can be found here: https://issues.apache.org/jira/browse/HIVE-9508
> {code:java}
> Exception in thread "main" java.lang.NoSuchFieldError:
> METASTORE_CLIENT_SOCKET_LIFETIME
> at
> org.apache.spark.sql.hive.HiveContext.configure(HiveContext.scala:500)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive$lzycompute(HiveContext.scala:250)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive(HiveContext.scala:237)
> at org.apache.spark.sql.hive.HiveContext.setConf(HiveContext.scala:441)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:272)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:271)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at org.apache.spark.sql.SQLContext.(SQLContext.scala:271)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:90)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:101)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLEnv$.init(SparkSQLEnv.scala:58)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.(SparkSQLCLIDriver.scala:267)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:139)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
> at
> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> {code}
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[jira] [Commented] (SPARK-14492) Spark SQL 1.6.0 does not work with Hive version lower than 1.2.0; its not backwards compatible with earlier version
[
https://issues.apache.org/jira/browse/SPARK-14492?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15955284#comment-15955284
]
Sunil Rangwani commented on SPARK-14492:
[~srowen] Please don't close with a comment "should work" without any helpful
contribution.
Let me describe the issue again:
1. Spark was built with -PHive where it used Hive version 1.2.1
2. config properties for {{spark.sql.hive.metastore.jars}} and
{{spark.sql.hive.metastore.version}} were set for Hive version 1.0.0 as
described in the documentation
3. Tried using spark sql by pointing to a remote external metastore service.
Tried setting 1.2.1 in step #2 which did not work because external metastore
was older version.
Upgraded external metastore to 1.2.0 {color:red}*(not 1.2.1)*{color} which
worked. The reason for this is because spark uses a Hive config property here
https://github.com/apache/spark/blob/branch-1.6/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveContext.scala#L500
that was introduced only in Hive 1.2.0 as part of
https://issues.apache.org/jira/browse/HIVE-9508
> Spark SQL 1.6.0 does not work with Hive version lower than 1.2.0; its not
> backwards compatible with earlier version
> ---
>
> Key: SPARK-14492
> URL: https://issues.apache.org/jira/browse/SPARK-14492
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 1.6.0
>Reporter: Sunil Rangwani
>Priority: Critical
>
> Spark SQL when configured with a Hive version lower than 1.2.0 throws a
> java.lang.NoSuchFieldError for the field METASTORE_CLIENT_SOCKET_LIFETIME
> because this field was introduced in Hive 1.2.0 so its not possible to use
> Hive metastore version lower than 1.2.0 with Spark. The details of the Hive
> changes can be found here: https://issues.apache.org/jira/browse/HIVE-9508
> {code:java}
> Exception in thread "main" java.lang.NoSuchFieldError:
> METASTORE_CLIENT_SOCKET_LIFETIME
> at
> org.apache.spark.sql.hive.HiveContext.configure(HiveContext.scala:500)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive$lzycompute(HiveContext.scala:250)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive(HiveContext.scala:237)
> at org.apache.spark.sql.hive.HiveContext.setConf(HiveContext.scala:441)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:272)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:271)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at org.apache.spark.sql.SQLContext.(SQLContext.scala:271)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:90)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:101)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLEnv$.init(SparkSQLEnv.scala:58)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.(SparkSQLCLIDriver.scala:267)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:139)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
> at
> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> {code}
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[jira] [Issue Comment Deleted] (SPARK-14492) Spark SQL 1.6.0 does not work with Hive version lower than 1.2.0; its not backwards compatible with earlier version
[
https://issues.apache.org/jira/browse/SPARK-14492?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sunil Rangwani updated SPARK-14492:
---
Comment: was deleted
(was: It was closed with the comment "should work"
Needs looking into)
> Spark SQL 1.6.0 does not work with Hive version lower than 1.2.0; its not
> backwards compatible with earlier version
> ---
>
> Key: SPARK-14492
> URL: https://issues.apache.org/jira/browse/SPARK-14492
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 1.6.0
>Reporter: Sunil Rangwani
>Priority: Critical
>
> Spark SQL when configured with a Hive version lower than 1.2.0 throws a
> java.lang.NoSuchFieldError for the field METASTORE_CLIENT_SOCKET_LIFETIME
> because this field was introduced in Hive 1.2.0 so its not possible to use
> Hive metastore version lower than 1.2.0 with Spark. The details of the Hive
> changes can be found here: https://issues.apache.org/jira/browse/HIVE-9508
> {code:java}
> Exception in thread "main" java.lang.NoSuchFieldError:
> METASTORE_CLIENT_SOCKET_LIFETIME
> at
> org.apache.spark.sql.hive.HiveContext.configure(HiveContext.scala:500)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive$lzycompute(HiveContext.scala:250)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive(HiveContext.scala:237)
> at org.apache.spark.sql.hive.HiveContext.setConf(HiveContext.scala:441)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:272)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:271)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at org.apache.spark.sql.SQLContext.(SQLContext.scala:271)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:90)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:101)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLEnv$.init(SparkSQLEnv.scala:58)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.(SparkSQLCLIDriver.scala:267)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:139)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
> at
> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> {code}
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[jira] [Reopened] (SPARK-14492) Spark SQL 1.6.0 does not work with Hive version lower than 1.2.0; its not backwards compatible with earlier version
[
https://issues.apache.org/jira/browse/SPARK-14492?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sunil Rangwani reopened SPARK-14492:
It was closed with the comment "should work"
Needs looking into
> Spark SQL 1.6.0 does not work with Hive version lower than 1.2.0; its not
> backwards compatible with earlier version
> ---
>
> Key: SPARK-14492
> URL: https://issues.apache.org/jira/browse/SPARK-14492
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 1.6.0
>Reporter: Sunil Rangwani
>Priority: Critical
>
> Spark SQL when configured with a Hive version lower than 1.2.0 throws a
> java.lang.NoSuchFieldError for the field METASTORE_CLIENT_SOCKET_LIFETIME
> because this field was introduced in Hive 1.2.0 so its not possible to use
> Hive metastore version lower than 1.2.0 with Spark. The details of the Hive
> changes can be found here: https://issues.apache.org/jira/browse/HIVE-9508
> {code:java}
> Exception in thread "main" java.lang.NoSuchFieldError:
> METASTORE_CLIENT_SOCKET_LIFETIME
> at
> org.apache.spark.sql.hive.HiveContext.configure(HiveContext.scala:500)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive$lzycompute(HiveContext.scala:250)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive(HiveContext.scala:237)
> at org.apache.spark.sql.hive.HiveContext.setConf(HiveContext.scala:441)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:272)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:271)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at org.apache.spark.sql.SQLContext.(SQLContext.scala:271)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:90)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:101)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLEnv$.init(SparkSQLEnv.scala:58)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.(SparkSQLCLIDriver.scala:267)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:139)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
> at
> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> {code}
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[jira] [Comment Edited] (SPARK-14492) Spark SQL 1.6.0 does not work with Hive version lower than 1.2.0; its not backwards compatible with earlier version
[
https://issues.apache.org/jira/browse/SPARK-14492?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15950778#comment-15950778
]
Sunil Rangwani edited comment on SPARK-14492 at 3/31/17 12:27 PM:
--
My problem exactly was a) Interacting with Hive metastore of an older version.
I set it up with the various spark.sql.hive.metastore.* config options but that
didn't work.
I had to do a messy upgrade of the external hive metastore database and service
to get it to work.
was (Author: sunil.rangwani):
My problem exactly was a) Interacting with Hive metastore of an older version.
I set it up with the various config options spark.sql.hive.metastore.* config
options but that didn't work.
I had to do a messy upgrade of the external hive metastore database and service
to get it to work.
> Spark SQL 1.6.0 does not work with Hive version lower than 1.2.0; its not
> backwards compatible with earlier version
> ---
>
> Key: SPARK-14492
> URL: https://issues.apache.org/jira/browse/SPARK-14492
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 1.6.0
>Reporter: Sunil Rangwani
>Priority: Critical
>
> Spark SQL when configured with a Hive version lower than 1.2.0 throws a
> java.lang.NoSuchFieldError for the field METASTORE_CLIENT_SOCKET_LIFETIME
> because this field was introduced in Hive 1.2.0 so its not possible to use
> Hive metastore version lower than 1.2.0 with Spark. The details of the Hive
> changes can be found here: https://issues.apache.org/jira/browse/HIVE-9508
> {code:java}
> Exception in thread "main" java.lang.NoSuchFieldError:
> METASTORE_CLIENT_SOCKET_LIFETIME
> at
> org.apache.spark.sql.hive.HiveContext.configure(HiveContext.scala:500)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive$lzycompute(HiveContext.scala:250)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive(HiveContext.scala:237)
> at org.apache.spark.sql.hive.HiveContext.setConf(HiveContext.scala:441)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:272)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:271)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at org.apache.spark.sql.SQLContext.(SQLContext.scala:271)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:90)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:101)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLEnv$.init(SparkSQLEnv.scala:58)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.(SparkSQLCLIDriver.scala:267)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:139)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
> at
> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> {code}
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[jira] [Commented] (SPARK-14492) Spark SQL 1.6.0 does not work with Hive version lower than 1.2.0; its not backwards compatible with earlier version
[
https://issues.apache.org/jira/browse/SPARK-14492?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15950778#comment-15950778
]
Sunil Rangwani commented on SPARK-14492:
My problem exactly was a) Interacting with Hive metastore of an older version.
I set it up with the various config options spark.sql.hive.metastore.* config
options but that didn't work.
I had to do a messy upgrade of the external hive metastore database and service
to get it to work.
> Spark SQL 1.6.0 does not work with Hive version lower than 1.2.0; its not
> backwards compatible with earlier version
> ---
>
> Key: SPARK-14492
> URL: https://issues.apache.org/jira/browse/SPARK-14492
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 1.6.0
>Reporter: Sunil Rangwani
>Priority: Critical
>
> Spark SQL when configured with a Hive version lower than 1.2.0 throws a
> java.lang.NoSuchFieldError for the field METASTORE_CLIENT_SOCKET_LIFETIME
> because this field was introduced in Hive 1.2.0 so its not possible to use
> Hive metastore version lower than 1.2.0 with Spark. The details of the Hive
> changes can be found here: https://issues.apache.org/jira/browse/HIVE-9508
> {code:java}
> Exception in thread "main" java.lang.NoSuchFieldError:
> METASTORE_CLIENT_SOCKET_LIFETIME
> at
> org.apache.spark.sql.hive.HiveContext.configure(HiveContext.scala:500)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive$lzycompute(HiveContext.scala:250)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive(HiveContext.scala:237)
> at org.apache.spark.sql.hive.HiveContext.setConf(HiveContext.scala:441)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:272)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:271)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at org.apache.spark.sql.SQLContext.(SQLContext.scala:271)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:90)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:101)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLEnv$.init(SparkSQLEnv.scala:58)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.(SparkSQLCLIDriver.scala:267)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:139)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
> at
> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> {code}
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[jira] [Commented] (SPARK-14492) Spark SQL 1.6.0 does not work with Hive version lower than 1.2.0; its not backwards compatible with earlier version
[
https://issues.apache.org/jira/browse/SPARK-14492?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15950760#comment-15950760
]
Sunil Rangwani commented on SPARK-14492:
[~sowen] Can you please explain why is it not a problem? Interacting with
different version of Hive metastore doesn't work as described in the
documentation. I have met other people who have the same use case; they have
legacy data in Hive and want to use spark to interact with it.
> Spark SQL 1.6.0 does not work with Hive version lower than 1.2.0; its not
> backwards compatible with earlier version
> ---
>
> Key: SPARK-14492
> URL: https://issues.apache.org/jira/browse/SPARK-14492
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 1.6.0
>Reporter: Sunil Rangwani
>Priority: Critical
>
> Spark SQL when configured with a Hive version lower than 1.2.0 throws a
> java.lang.NoSuchFieldError for the field METASTORE_CLIENT_SOCKET_LIFETIME
> because this field was introduced in Hive 1.2.0 so its not possible to use
> Hive metastore version lower than 1.2.0 with Spark. The details of the Hive
> changes can be found here: https://issues.apache.org/jira/browse/HIVE-9508
> {code:java}
> Exception in thread "main" java.lang.NoSuchFieldError:
> METASTORE_CLIENT_SOCKET_LIFETIME
> at
> org.apache.spark.sql.hive.HiveContext.configure(HiveContext.scala:500)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive$lzycompute(HiveContext.scala:250)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive(HiveContext.scala:237)
> at org.apache.spark.sql.hive.HiveContext.setConf(HiveContext.scala:441)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:272)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:271)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at org.apache.spark.sql.SQLContext.(SQLContext.scala:271)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:90)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:101)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLEnv$.init(SparkSQLEnv.scala:58)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.(SparkSQLCLIDriver.scala:267)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:139)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
> at
> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> {code}
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[jira] [Commented] (SPARK-14492) Spark SQL 1.6.0 does not work with Hive version lower than 1.2.0; its not backwards compatible with earlier version
[
https://issues.apache.org/jira/browse/SPARK-14492?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15949965#comment-15949965
]
Sunil Rangwani commented on SPARK-14492:
Ok, I raised this a year ago and no longer have access to the same environment
anymore. I was trying to use Spark with an external Hive metastore version 0.14
and that didn't work with the various config options. The way I got around it
was upgrading Hive and its metastore database to version 1.2.1
I progressively upgraded from 0.14 to 1.0.0 to 1.2.0 and until I upgraded to
1.2.1, I kept getting a java.lang.NoSuchFieldError for some or the other hive
config. I just remember that it was a bit messy.
> Spark SQL 1.6.0 does not work with Hive version lower than 1.2.0; its not
> backwards compatible with earlier version
> ---
>
> Key: SPARK-14492
> URL: https://issues.apache.org/jira/browse/SPARK-14492
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 1.6.0
>Reporter: Sunil Rangwani
>Priority: Critical
>
> Spark SQL when configured with a Hive version lower than 1.2.0 throws a
> java.lang.NoSuchFieldError for the field METASTORE_CLIENT_SOCKET_LIFETIME
> because this field was introduced in Hive 1.2.0 so its not possible to use
> Hive metastore version lower than 1.2.0 with Spark. The details of the Hive
> changes can be found here: https://issues.apache.org/jira/browse/HIVE-9508
> {code:java}
> Exception in thread "main" java.lang.NoSuchFieldError:
> METASTORE_CLIENT_SOCKET_LIFETIME
> at
> org.apache.spark.sql.hive.HiveContext.configure(HiveContext.scala:500)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive$lzycompute(HiveContext.scala:250)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive(HiveContext.scala:237)
> at org.apache.spark.sql.hive.HiveContext.setConf(HiveContext.scala:441)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:272)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:271)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at org.apache.spark.sql.SQLContext.(SQLContext.scala:271)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:90)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:101)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLEnv$.init(SparkSQLEnv.scala:58)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.(SparkSQLCLIDriver.scala:267)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:139)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
> at
> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> {code}
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[jira] [Commented] (SPARK-14492) Spark SQL 1.6.0 does not work with Hive version lower than 1.2.0; its not backwards compatible with earlier version
[
https://issues.apache.org/jira/browse/SPARK-14492?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15948818#comment-15948818
]
Sunil Rangwani commented on SPARK-14492:
I built Spark with -Phive as described in the documentation. This was a runtime
error
> Spark SQL 1.6.0 does not work with Hive version lower than 1.2.0; its not
> backwards compatible with earlier version
> ---
>
> Key: SPARK-14492
> URL: https://issues.apache.org/jira/browse/SPARK-14492
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 1.6.0
>Reporter: Sunil Rangwani
>Priority: Critical
>
> Spark SQL when configured with a Hive version lower than 1.2.0 throws a
> java.lang.NoSuchFieldError for the field METASTORE_CLIENT_SOCKET_LIFETIME
> because this field was introduced in Hive 1.2.0 so its not possible to use
> Hive metastore version lower than 1.2.0 with Spark. The details of the Hive
> changes can be found here: https://issues.apache.org/jira/browse/HIVE-9508
> {code:java}
> Exception in thread "main" java.lang.NoSuchFieldError:
> METASTORE_CLIENT_SOCKET_LIFETIME
> at
> org.apache.spark.sql.hive.HiveContext.configure(HiveContext.scala:500)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive$lzycompute(HiveContext.scala:250)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive(HiveContext.scala:237)
> at org.apache.spark.sql.hive.HiveContext.setConf(HiveContext.scala:441)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:272)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:271)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at org.apache.spark.sql.SQLContext.(SQLContext.scala:271)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:90)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:101)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLEnv$.init(SparkSQLEnv.scala:58)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.(SparkSQLCLIDriver.scala:267)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:139)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
> at
> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> {code}
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[jira] [Reopened] (SPARK-14492) Spark SQL 1.6.0 does not work with Hive version lower than 1.2.0; its not backwards compatible with earlier version
[
https://issues.apache.org/jira/browse/SPARK-14492?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sunil Rangwani reopened SPARK-14492:
The documentation describes in detail how to interact with different versions
of Hive so its clearly a bug
http://spark.apache.org/docs/1.6.0/sql-programming-guide.html#interacting-with-different-versions-of-hive-metastore
> Spark SQL 1.6.0 does not work with Hive version lower than 1.2.0; its not
> backwards compatible with earlier version
> ---
>
> Key: SPARK-14492
> URL: https://issues.apache.org/jira/browse/SPARK-14492
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 1.6.0
>Reporter: Sunil Rangwani
>Priority: Critical
>
> Spark SQL when configured with a Hive version lower than 1.2.0 throws a
> java.lang.NoSuchFieldError for the field METASTORE_CLIENT_SOCKET_LIFETIME
> because this field was introduced in Hive 1.2.0 so its not possible to use
> Hive metastore version lower than 1.2.0 with Spark. The details of the Hive
> changes can be found here: https://issues.apache.org/jira/browse/HIVE-9508
> {code:java}
> Exception in thread "main" java.lang.NoSuchFieldError:
> METASTORE_CLIENT_SOCKET_LIFETIME
> at
> org.apache.spark.sql.hive.HiveContext.configure(HiveContext.scala:500)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive$lzycompute(HiveContext.scala:250)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive(HiveContext.scala:237)
> at org.apache.spark.sql.hive.HiveContext.setConf(HiveContext.scala:441)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:272)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:271)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at org.apache.spark.sql.SQLContext.(SQLContext.scala:271)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:90)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:101)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLEnv$.init(SparkSQLEnv.scala:58)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.(SparkSQLCLIDriver.scala:267)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:139)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
> at
> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> {code}
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[jira] [Commented] (SPARK-17463) Serialization of accumulators in heartbeats is not thread-safe
[
https://issues.apache.org/jira/browse/SPARK-17463?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15821106#comment-15821106
]
Sunil Rangwani commented on SPARK-17463:
Hi [~zsxwing]
My recordKey that I add to updatedRecordKeysAcc is a string that is 102
characters long. Other than that its similar to you are doing in your code. I
currently don't have a way to reproduce this on a non-EMR environment. Are you
able to try this out please with a longer recordKey to see if you're able to
reproduce it.
> Serialization of accumulators in heartbeats is not thread-safe
> --
>
> Key: SPARK-17463
> URL: https://issues.apache.org/jira/browse/SPARK-17463
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
>Affects Versions: 2.0.0
>Reporter: Josh Rosen
>Assignee: Shixiong Zhu
>Priority: Critical
> Fix For: 2.0.1, 2.1.0
>
>
> Check out the following {{ConcurrentModificationException}}:
> {code}
> 16/09/06 16:10:29 WARN NettyRpcEndpointRef: Error sending message [message =
> Heartbeat(2,[Lscala.Tuple2;@66e7b6e7,BlockManagerId(2, HOST, 57743))] in 1
> attempts
> org.apache.spark.SparkException: Exception thrown in awaitResult
> at
> org.apache.spark.rpc.RpcTimeout$$anonfun$1.applyOrElse(RpcTimeout.scala:77)
> at
> org.apache.spark.rpc.RpcTimeout$$anonfun$1.applyOrElse(RpcTimeout.scala:75)
> at
> scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:33)
> at
> org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)
> at
> org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)
> at scala.PartialFunction$OrElse.apply(PartialFunction.scala:162)
> at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:83)
> at
> org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:102)
> at
> org.apache.spark.executor.Executor.org$apache$spark$executor$Executor$$reportHeartBeat(Executor.scala:518)
> at
> org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply$mcV$sp(Executor.scala:547)
> at
> org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply(Executor.scala:547)
> at
> org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply(Executor.scala:547)
> at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1862)
> at org.apache.spark.executor.Executor$$anon$1.run(Executor.scala:547)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:308)
> at
> java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:180)
> at
> java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:294)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: java.util.ConcurrentModificationException
> at java.util.ArrayList.writeObject(ArrayList.java:766)
> at sun.reflect.GeneratedMethodAccessor20.invoke(Unknown Source)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:497)
> at
> java.io.ObjectStreamClass.invokeWriteObject(ObjectStreamClass.java:1028)
> at
> java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1496)
> at
> java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1432)
> at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1178)
> at
> java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1548)
> at
> java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1509)
> at
> java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1432)
> at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1178)
> at java.io.ObjectOutputStream.writeArray(ObjectOutputStream.java:1378)
> at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1174)
> at
> java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1548)
> at
> java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1509)
> at
> java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1432)
> at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1178)
> at
> java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1548)
> at
>
[jira] [Commented] (SPARK-17463) Serialization of accumulators in heartbeats is not thread-safe
[
https://issues.apache.org/jira/browse/SPARK-17463?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15800979#comment-15800979
]
Sunil Rangwani commented on SPARK-17463:
[~zsxwing] Do you agree this bug should be reopened?
> Serialization of accumulators in heartbeats is not thread-safe
> --
>
> Key: SPARK-17463
> URL: https://issues.apache.org/jira/browse/SPARK-17463
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
>Affects Versions: 2.0.0
>Reporter: Josh Rosen
>Assignee: Shixiong Zhu
>Priority: Critical
> Fix For: 2.0.1, 2.1.0
>
>
> Check out the following {{ConcurrentModificationException}}:
> {code}
> 16/09/06 16:10:29 WARN NettyRpcEndpointRef: Error sending message [message =
> Heartbeat(2,[Lscala.Tuple2;@66e7b6e7,BlockManagerId(2, HOST, 57743))] in 1
> attempts
> org.apache.spark.SparkException: Exception thrown in awaitResult
> at
> org.apache.spark.rpc.RpcTimeout$$anonfun$1.applyOrElse(RpcTimeout.scala:77)
> at
> org.apache.spark.rpc.RpcTimeout$$anonfun$1.applyOrElse(RpcTimeout.scala:75)
> at
> scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:33)
> at
> org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)
> at
> org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)
> at scala.PartialFunction$OrElse.apply(PartialFunction.scala:162)
> at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:83)
> at
> org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:102)
> at
> org.apache.spark.executor.Executor.org$apache$spark$executor$Executor$$reportHeartBeat(Executor.scala:518)
> at
> org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply$mcV$sp(Executor.scala:547)
> at
> org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply(Executor.scala:547)
> at
> org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply(Executor.scala:547)
> at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1862)
> at org.apache.spark.executor.Executor$$anon$1.run(Executor.scala:547)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:308)
> at
> java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:180)
> at
> java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:294)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: java.util.ConcurrentModificationException
> at java.util.ArrayList.writeObject(ArrayList.java:766)
> at sun.reflect.GeneratedMethodAccessor20.invoke(Unknown Source)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:497)
> at
> java.io.ObjectStreamClass.invokeWriteObject(ObjectStreamClass.java:1028)
> at
> java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1496)
> at
> java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1432)
> at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1178)
> at
> java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1548)
> at
> java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1509)
> at
> java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1432)
> at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1178)
> at java.io.ObjectOutputStream.writeArray(ObjectOutputStream.java:1378)
> at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1174)
> at
> java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1548)
> at
> java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1509)
> at
> java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1432)
> at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1178)
> at
> java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1548)
> at
> java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1509)
> at
> java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1432)
> at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1178)
> at java.io.ObjectOutputStream.writeArray(ObjectOutputStream.java:1378)
> at
[jira] [Commented] (SPARK-17463) Serialization of accumulators in heartbeats is not thread-safe
[
https://issues.apache.org/jira/browse/SPARK-17463?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15791469#comment-15791469
]
Sunil Rangwani commented on SPARK-17463:
Hi [~zsxwing]
Below is how I am using the Collection accumulator.
{code}
// val spark: SparkSession
// val dataFrame: DataFrame
val updatedRecordKeysAcc = spark.sparkContext.collectionAccumulator[String]
dataFrame.toJSON.foreach(processRecord(_, updatedRecordKeysAcc))
import collection.JavaConverters._
val updatedRecordKeys: String =
updatedRecordKeysAcc.value.asScala.mkString("\n")
// write `updatedRecordKeys` to an S3 file using aws-sdk...
def processRecord(recordJSON: String, updatedRecordKeysAcc:
CollectionAccumulator) {
// do Stuff with recordJSON...
// val recordKey: String = getKeyFromJSON(recordJSON)
updatedRecordKeysAcc.add(recordKey)
}
{code}
It works when I am working with smaller datasets of 10s of 1000s but when I try
to run it with a dataset of 10s of millions, it fails with the exception above.
I tried to scale up the cluster to 5 to 6 nodes but it still gives the same
error and the cluster remains underutilized.
It also works alright when I comment out the line
{noformat}updatedRecordKeysAcc.add(recordKey){noformat}
> Serialization of accumulators in heartbeats is not thread-safe
> --
>
> Key: SPARK-17463
> URL: https://issues.apache.org/jira/browse/SPARK-17463
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
>Affects Versions: 2.0.0
>Reporter: Josh Rosen
>Assignee: Shixiong Zhu
>Priority: Critical
> Fix For: 2.0.1, 2.1.0
>
>
> Check out the following {{ConcurrentModificationException}}:
> {code}
> 16/09/06 16:10:29 WARN NettyRpcEndpointRef: Error sending message [message =
> Heartbeat(2,[Lscala.Tuple2;@66e7b6e7,BlockManagerId(2, HOST, 57743))] in 1
> attempts
> org.apache.spark.SparkException: Exception thrown in awaitResult
> at
> org.apache.spark.rpc.RpcTimeout$$anonfun$1.applyOrElse(RpcTimeout.scala:77)
> at
> org.apache.spark.rpc.RpcTimeout$$anonfun$1.applyOrElse(RpcTimeout.scala:75)
> at
> scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:33)
> at
> org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)
> at
> org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)
> at scala.PartialFunction$OrElse.apply(PartialFunction.scala:162)
> at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:83)
> at
> org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:102)
> at
> org.apache.spark.executor.Executor.org$apache$spark$executor$Executor$$reportHeartBeat(Executor.scala:518)
> at
> org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply$mcV$sp(Executor.scala:547)
> at
> org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply(Executor.scala:547)
> at
> org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply(Executor.scala:547)
> at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1862)
> at org.apache.spark.executor.Executor$$anon$1.run(Executor.scala:547)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:308)
> at
> java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:180)
> at
> java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:294)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: java.util.ConcurrentModificationException
> at java.util.ArrayList.writeObject(ArrayList.java:766)
> at sun.reflect.GeneratedMethodAccessor20.invoke(Unknown Source)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:497)
> at
> java.io.ObjectStreamClass.invokeWriteObject(ObjectStreamClass.java:1028)
> at
> java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1496)
> at
> java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1432)
> at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1178)
> at
> java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1548)
> at
> java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1509)
> at
>
[jira] [Commented] (SPARK-17463) Serialization of accumulators in heartbeats is not thread-safe
[
https://issues.apache.org/jira/browse/SPARK-17463?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15787809#comment-15787809
]
Sunil Rangwani commented on SPARK-17463:
Hi
I get the same error with Spark 2.0.2 on EMR 5.2.0
I am using the CollectionAccumulator and I get the same stack trace. Hard to
say from the stack trace what is the root cause.
{noformat}
16/12/30 13:49:11 WARN NettyRpcEndpointRef: Error sending message [message =
Heartbeat(1,[Lscala.Tuple2;@63f6e6d6,BlockManagerId(1, ,
45163))] in 3 attempts
org.apache.spark.SparkException: Exception thrown in awaitResult
at
org.apache.spark.rpc.RpcTimeout$$anonfun$1.applyOrElse(RpcTimeout.scala:77)
at
org.apache.spark.rpc.RpcTimeout$$anonfun$1.applyOrElse(RpcTimeout.scala:75)
at
scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:36)
at
org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)
at
org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)
at scala.PartialFunction$OrElse.apply(PartialFunction.scala:167)
at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:83)
at
org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:102)
at
org.apache.spark.executor.Executor.org$apache$spark$executor$Executor$$reportHeartBeat(Executor.scala:518)
at
org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply$mcV$sp(Executor.scala:547)
at
org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply(Executor.scala:547)
at
org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply(Executor.scala:547)
at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1953)
at org.apache.spark.executor.Executor$$anon$1.run(Executor.scala:547)
at
java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:308)
at
java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:180)
at
java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:294)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.util.ConcurrentModificationException
at java.util.ArrayList.writeObject(ArrayList.java:766)
at sun.reflect.GeneratedMethodAccessor55.invoke(Unknown Source)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at
java.io.ObjectStreamClass.invokeWriteObject(ObjectStreamClass.java:1028)
at
java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1496)
at
java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1432)
at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1178)
at
java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1548)
at
java.io.ObjectOutputStream.defaultWriteObject(ObjectOutputStream.java:441)
at
java.util.Collections$SynchronizedCollection.writeObject(Collections.java:2081)
at sun.reflect.GeneratedMethodAccessor54.invoke(Unknown Source)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at
java.io.ObjectStreamClass.invokeWriteObject(ObjectStreamClass.java:1028)
at
java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1496)
at
java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1432)
at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1178)
at
java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1548)
at
java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1509)
at
java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1432)
at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1178)
at java.io.ObjectOutputStream.writeArray(ObjectOutputStream.java:1378)
at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1174)
at
java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1548)
at
java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1509)
at
java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1432)
at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1178)
at
[jira] [Updated] (SPARK-14492) Spark SQL 1.6.0 does not work with Hive version lower than 1.2.0; its not backwards compatible with earlier version
[
https://issues.apache.org/jira/browse/SPARK-14492?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sunil Rangwani updated SPARK-14492:
---
Summary: Spark SQL 1.6.0 does not work with Hive version lower than 1.2.0;
its not backwards compatible with earlier version (was: Spark 1.6.0 cannot
work with Hive version lower than 1.2.0; its not backwards compatible with
earlier version)
> Spark SQL 1.6.0 does not work with Hive version lower than 1.2.0; its not
> backwards compatible with earlier version
> ---
>
> Key: SPARK-14492
> URL: https://issues.apache.org/jira/browse/SPARK-14492
> Project: Spark
> Issue Type: Bug
> Components: SQL
>Affects Versions: 1.6.0
>Reporter: Sunil Rangwani
>Priority: Critical
>
> Spark SQL when configured with a Hive version lower than 1.2.0 throws a
> java.lang.NoSuchFieldError for the field METASTORE_CLIENT_SOCKET_LIFETIME
> because this field was introduced in Hive 1.2.0 so its not possible to use
> Hive metastore version lower than 1.2.0 with Spark. The details of the Hive
> changes can be found here: https://issues.apache.org/jira/browse/HIVE-9508
> {code:java}
> Exception in thread "main" java.lang.NoSuchFieldError:
> METASTORE_CLIENT_SOCKET_LIFETIME
> at
> org.apache.spark.sql.hive.HiveContext.configure(HiveContext.scala:500)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive$lzycompute(HiveContext.scala:250)
> at
> org.apache.spark.sql.hive.HiveContext.metadataHive(HiveContext.scala:237)
> at org.apache.spark.sql.hive.HiveContext.setConf(HiveContext.scala:441)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:272)
> at
> org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:271)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at org.apache.spark.sql.SQLContext.(SQLContext.scala:271)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:90)
> at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:101)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLEnv$.init(SparkSQLEnv.scala:58)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.(SparkSQLCLIDriver.scala:267)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:139)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
> at
> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> {code}
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[jira] [Updated] (SPARK-14492) Spark 1.6.0 cannot work with Hive version lower than 1.2.0; its not backwards compatible with earlier version
[
https://issues.apache.org/jira/browse/SPARK-14492?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sunil Rangwani updated SPARK-14492:
---
Description:
Spark SQL when configured with a Hive version lower than 1.2.0 throws a
java.lang.NoSuchFieldError for the field METASTORE_CLIENT_SOCKET_LIFETIME
because this field was introduced in Hive 1.2.0 so its not possible to use Hive
metastore version lower than 1.2.0 with Spark. The details of the Hive changes
can be found here: https://issues.apache.org/jira/browse/HIVE-9508
{code:java}
Exception in thread "main" java.lang.NoSuchFieldError:
METASTORE_CLIENT_SOCKET_LIFETIME
at
org.apache.spark.sql.hive.HiveContext.configure(HiveContext.scala:500)
at
org.apache.spark.sql.hive.HiveContext.metadataHive$lzycompute(HiveContext.scala:250)
at
org.apache.spark.sql.hive.HiveContext.metadataHive(HiveContext.scala:237)
at org.apache.spark.sql.hive.HiveContext.setConf(HiveContext.scala:441)
at
org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:272)
at
org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:271)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
at org.apache.spark.sql.SQLContext.(SQLContext.scala:271)
at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:90)
at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:101)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLEnv$.init(SparkSQLEnv.scala:58)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.(SparkSQLCLIDriver.scala:267)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:139)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at
org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
at
org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
{code}
was:
Spark SQL when configured with a Hive version lower than 1.2.0 throws a
java.lang.NoSuchFieldError for the field METASTORE_CLIENT_SOCKET_LIFETIME
because this field was introduced in Hive 1.2.0 so its not possible to use Hive
metastore version lower than 1.2.0 with Spark. The details of the Hive changes
can be found here: https://issues.apache.org/jira/browse/HIVE-9508
```
Exception in thread "main" java.lang.NoSuchFieldError:
METASTORE_CLIENT_SOCKET_LIFETIME
at
org.apache.spark.sql.hive.HiveContext.configure(HiveContext.scala:500)
at
org.apache.spark.sql.hive.HiveContext.metadataHive$lzycompute(HiveContext.scala:250)
at
org.apache.spark.sql.hive.HiveContext.metadataHive(HiveContext.scala:237)
at org.apache.spark.sql.hive.HiveContext.setConf(HiveContext.scala:441)
at
org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:272)
at
org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:271)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
at org.apache.spark.sql.SQLContext.(SQLContext.scala:271)
at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:90)
at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:101)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLEnv$.init(SparkSQLEnv.scala:58)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.(SparkSQLCLIDriver.scala:267)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:139)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at
[jira] [Updated] (SPARK-14492) Spark 1.6.0 cannot work with Hive version lower than 1.2.0; its not backwards compatible with earlier version
[ https://issues.apache.org/jira/browse/SPARK-14492?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sunil Rangwani updated SPARK-14492: --- Description: Spark SQL when configured with a Hive version lower than 1.2.0 throws a java.lang.NoSuchFieldError for the field METASTORE_CLIENT_SOCKET_LIFETIME because this field was introduced in Hive 1.2.0 so its not possible to use Hive metastore version lower than 1.2.0 with Spark. The details of the Hive changes can be found here: https://issues.apache.org/jira/browse/HIVE-9508 ``` Exception in thread "main" java.lang.NoSuchFieldError: METASTORE_CLIENT_SOCKET_LIFETIME at org.apache.spark.sql.hive.HiveContext.configure(HiveContext.scala:500) at org.apache.spark.sql.hive.HiveContext.metadataHive$lzycompute(HiveContext.scala:250) at org.apache.spark.sql.hive.HiveContext.metadataHive(HiveContext.scala:237) at org.apache.spark.sql.hive.HiveContext.setConf(HiveContext.scala:441) at org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:272) at org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:271) at scala.collection.Iterator$class.foreach(Iterator.scala:727) at scala.collection.AbstractIterator.foreach(Iterator.scala:1157) at scala.collection.IterableLike$class.foreach(IterableLike.scala:72) at scala.collection.AbstractIterable.foreach(Iterable.scala:54) at org.apache.spark.sql.SQLContext.(SQLContext.scala:271) at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:90) at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:101) at org.apache.spark.sql.hive.thriftserver.SparkSQLEnv$.init(SparkSQLEnv.scala:58) at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.(SparkSQLCLIDriver.scala:267) at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:139) at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731) at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181) at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206) at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121) at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) ``` was: Spark SQL when configured with a Hive version lower than 1.2.0 throws a java.lang.NoSuchFieldError for the field METASTORE_CLIENT_SOCKET_LIFETIME because this field was introduced in Hive 1.2.0 so its not possible to use Hive metastore version lower than 1.2.0 with Spark. The details of the Hive changes can be found here: https://issues.apache.org/jira/browse/HIVE-9508 Exception in thread "main" java.lang.NoSuchFieldError: METASTORE_CLIENT_SOCKET_LIFETIME at org.apache.spark.sql.hive.HiveContext.configure(HiveContext.scala:500) at org.apache.spark.sql.hive.HiveContext.metadataHive$lzycompute(HiveContext.scala:250) at org.apache.spark.sql.hive.HiveContext.metadataHive(HiveContext.scala:237) at org.apache.spark.sql.hive.HiveContext.setConf(HiveContext.scala:441) at org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:272) at org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:271) at scala.collection.Iterator$class.foreach(Iterator.scala:727) at scala.collection.AbstractIterator.foreach(Iterator.scala:1157) at scala.collection.IterableLike$class.foreach(IterableLike.scala:72) at scala.collection.AbstractIterable.foreach(Iterable.scala:54) at org.apache.spark.sql.SQLContext.(SQLContext.scala:271) at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:90) at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:101) at org.apache.spark.sql.hive.thriftserver.SparkSQLEnv$.init(SparkSQLEnv.scala:58) at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.(SparkSQLCLIDriver.scala:267) at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:139) at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
[jira] [Created] (SPARK-14492) Spark 1.6.0 cannot work with Hive version lower than 1.2.0; its not backwards compatible with earlier version
Sunil Rangwani created SPARK-14492: -- Summary: Spark 1.6.0 cannot work with Hive version lower than 1.2.0; its not backwards compatible with earlier version Key: SPARK-14492 URL: https://issues.apache.org/jira/browse/SPARK-14492 Project: Spark Issue Type: Bug Components: SQL Affects Versions: 1.6.0 Reporter: Sunil Rangwani Priority: Critical Spark SQL when configured with a Hive version lower than 1.2.0 throws a java.lang.NoSuchFieldError for the field METASTORE_CLIENT_SOCKET_LIFETIME because this field was introduced in Hive 1.2.0 so its not possible to use Hive metastore version lower than 1.2.0 with Spark. The details of the Hive changes can be found here: https://issues.apache.org/jira/browse/HIVE-9508 Exception in thread "main" java.lang.NoSuchFieldError: METASTORE_CLIENT_SOCKET_LIFETIME at org.apache.spark.sql.hive.HiveContext.configure(HiveContext.scala:500) at org.apache.spark.sql.hive.HiveContext.metadataHive$lzycompute(HiveContext.scala:250) at org.apache.spark.sql.hive.HiveContext.metadataHive(HiveContext.scala:237) at org.apache.spark.sql.hive.HiveContext.setConf(HiveContext.scala:441) at org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:272) at org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:271) at scala.collection.Iterator$class.foreach(Iterator.scala:727) at scala.collection.AbstractIterator.foreach(Iterator.scala:1157) at scala.collection.IterableLike$class.foreach(IterableLike.scala:72) at scala.collection.AbstractIterable.foreach(Iterable.scala:54) at org.apache.spark.sql.SQLContext.(SQLContext.scala:271) at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:90) at org.apache.spark.sql.hive.HiveContext.(HiveContext.scala:101) at org.apache.spark.sql.hive.thriftserver.SparkSQLEnv$.init(SparkSQLEnv.scala:58) at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.(SparkSQLCLIDriver.scala:267) at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:139) at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731) at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181) at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206) at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121) at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
