[GitHub] [spark] yaooqinn commented on a change in pull request #26942: [SPARK-30301][SQL] Fix wrong results when datetimes as fields of complex types

2020-03-24 Thread GitBox
yaooqinn commented on a change in pull request #26942: [SPARK-30301][SQL] Fix 
wrong results when datetimes as fields of complex types
URL: https://github.com/apache/spark/pull/26942#discussion_r397624096
 
 

 ##
 File path: 
sql/core/src/main/scala/org/apache/spark/sql/execution/HiveResult.scala
 ##
 @@ -56,78 +56,41 @@ object HiveResult {
   // We need the types so we can output struct field names
   val types = executedPlan.output.map(_.dataType)
   // Reformat to match hive tab delimited output.
-  result.map(_.zip(types).map(toHiveString)).map(_.mkString("\t"))
+  result.map(_.zip(types).map(e => toHiveString(e)))
+.map(_.mkString("\t"))
   }
 
-  private val primitiveTypes = Seq(
-StringType,
-IntegerType,
-LongType,
-DoubleType,
-FloatType,
-BooleanType,
-ByteType,
-ShortType,
-DateType,
-TimestampType,
-BinaryType)
-
   private lazy val zoneId = 
DateTimeUtils.getZoneId(SQLConf.get.sessionLocalTimeZone)
   private lazy val dateFormatter = DateFormatter(zoneId)
   private lazy val timestampFormatter = 
TimestampFormatter.getFractionFormatter(zoneId)
 
-  /** Hive outputs fields of structs slightly differently than top level 
attributes. */
-  private def toHiveStructString(a: (Any, DataType)): String = a match {
-case (struct: Row, StructType(fields)) =>
-  struct.toSeq.zip(fields).map {
-case (v, t) => s${t.name}":${toHiveStructString((v, 
t.dataType))}"""
-  }.mkString("{", ",", "}")
-case (seq: Seq[_], ArrayType(typ, _)) =>
-  seq.map(v => (v, typ)).map(toHiveStructString).mkString("[", ",", "]")
-case (map: Map[_, _], MapType(kType, vType, _)) =>
-  map.map {
-case (key, value) =>
-  toHiveStructString((key, kType)) + ":" + toHiveStructString((value, 
vType))
-  }.toSeq.sorted.mkString("{", ",", "}")
-case (null, _) => "null"
-case (s: String, StringType) => "\"" + s + "\""
-case (decimal, DecimalType()) => decimal.toString
-case (interval: CalendarInterval, CalendarIntervalType) =>
-  SQLConf.get.intervalOutputStyle match {
-case SQL_STANDARD => toSqlStandardString(interval)
-case ISO_8601 => toIso8601String(interval)
-case MULTI_UNITS => toMultiUnitsString(interval)
-  }
-case (other, tpe) if primitiveTypes contains tpe => other.toString
-  }
-
   /** Formats a datum (based on the given data type) and returns the string 
representation. */
-  def toHiveString(a: (Any, DataType)): String = a match {
-case (struct: Row, StructType(fields)) =>
-  struct.toSeq.zip(fields).map {
-case (v, t) => s${t.name}":${toHiveStructString((v, 
t.dataType))}"""
-  }.mkString("{", ",", "}")
-case (seq: Seq[_], ArrayType(typ, _)) =>
-  seq.map(v => (v, typ)).map(toHiveStructString).mkString("[", ",", "]")
-case (map: Map[_, _], MapType(kType, vType, _)) =>
-  map.map {
-case (key, value) =>
-  toHiveStructString((key, kType)) + ":" + toHiveStructString((value, 
vType))
-  }.toSeq.sorted.mkString("{", ",", "}")
-case (null, _) => "NULL"
+  def toHiveString(a: (Any, DataType), nested: Boolean = false): String = a 
match {
+case (null, _) => if (nested) "null" else "NULL"
+case (b, BooleanType) => b.toString
 case (d: Date, DateType) => 
dateFormatter.format(DateTimeUtils.fromJavaDate(d))
 case (t: Timestamp, TimestampType) =>
-  DateTimeUtils.timestampToString(timestampFormatter, 
DateTimeUtils.fromJavaTimestamp(t))
+  timestampFormatter.format(DateTimeUtils.fromJavaTimestamp(t))
 case (bin: Array[Byte], BinaryType) => new String(bin, 
StandardCharsets.UTF_8)
 
 Review comment:
   ```sql
   hive> create table bt(k binary);
   OK
   Time taken: 0.637 seconds
   hive> insert into bt values ("spark"), ("hello"), ("3"), ("."), ("0");
   Query ID = root_2020032505_1c227d63-47dd-4899-a879-0b6a98269908
   Total jobs = 3
   Launching Job 1 out of 3
   Number of reduce tasks is set to 0 since there's no reduce operator
   Starting Job = job_1585115622286_0001, Tracking URL = 
http://quickstart.cloudera:8088/proxy/application_1585115622286_0001/
   Kill Command = /usr/lib/hadoop/bin/hadoop job  -kill job_1585115622286_0001
   Hadoop job information for Stage-1: number of mappers: 1; number of 
reducers: 0
   2020-03-25 05:57:03,557 Stage-1 map = 0%,  reduce = 0%
   2020-03-25 05:57:09,766 Stage-1 map = 100%,  reduce = 0%, Cumulative CPU 
1.86 sec
   MapReduce Total cumulative CPU time: 1 seconds 860 msec
   Ended Job = job_1585115622286_0001
   Stage-4 is selected by condition resolver.
   Stage-3 is filtered out by condition resolver.
   Stage-5 is filtered out by condition resolver.
   Moving data to: 
hdfs://quickstart.cloudera:8020/user/hive/warehouse/bt/.hive-staging_hive_2020-03-25_05-56-54_007_226069574359185383-1/-ext-1
   Loading data to table default.bt
   Table default.bt stats: [numFiles=1, numRows=5, totalSize=33, 

[GitHub] [spark] turboFei commented on a change in pull request #27943: [SPARK-31179] Fast fail the connection while last connection failed in the last retry IO wait

2020-03-24 Thread GitBox
turboFei commented on a change in pull request #27943: [SPARK-31179] Fast fail 
the connection while last connection failed in the last retry IO wait
URL: https://github.com/apache/spark/pull/27943#discussion_r397623831
 
 

 ##
 File path: 
common/network-common/src/main/java/org/apache/spark/network/client/TransportClientFactory.java
 ##
 @@ -112,6 +114,7 @@ public TransportClientFactory(
 }
 this.metrics = new NettyMemoryMetrics(
   this.pooledAllocator, conf.getModuleName() + "-client", conf);
+fastFailTimeWindow = conf.ioRetryWaitTimeMs() * 0.95;
 
 Review comment:
   thanks


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[GitHub] [spark] SparkQA commented on issue #27665: [SPARK-30623][Core] Spark external shuffle allow disable of separate event loop group

2020-03-24 Thread GitBox
SparkQA commented on issue #27665: [SPARK-30623][Core] Spark external shuffle 
allow disable of separate event loop group
URL: https://github.com/apache/spark/pull/27665#issuecomment-603654493
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #27690: [SPARK-21514][SQL] Added a new option to use non-blobstore storage when writing into blobstore storage

2020-03-24 Thread GitBox
AmplabJenkins commented on issue #27690: [SPARK-21514][SQL] Added a new option 
to use non-blobstore storage when writing into blobstore storage
URL: https://github.com/apache/spark/pull/27690#issuecomment-603653204
 
 
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[GitHub] [spark] xuanyuanking commented on a change in pull request #27665: [SPARK-30623][Core] Spark external shuffle allow disable of separate event loop group

2020-03-24 Thread GitBox
xuanyuanking commented on a change in pull request #27665: [SPARK-30623][Core] 
Spark external shuffle allow disable of separate event loop group
URL: https://github.com/apache/spark/pull/27665#discussion_r397621197
 
 

 ##
 File path: 
common/network-common/src/main/java/org/apache/spark/network/util/TransportConf.java
 ##
 @@ -339,12 +341,25 @@ public int chunkFetchHandlerThreads() {
   return 0;
 }
 int chunkFetchHandlerThreadsPercent =
-  conf.getInt("spark.shuffle.server.chunkFetchHandlerThreadsPercent", 100);
+  
Integer.parseInt(conf.get("spark.shuffle.server.chunkFetchHandlerThreadsPercent"));
 int threads =
   this.serverThreads() > 0 ? this.serverThreads() : 2 * 
NettyRuntime.availableProcessors();
 return (int) Math.ceil(threads * (chunkFetchHandlerThreadsPercent / 
100.0));
   }
 
+  /**
+   * Whether to use a separate EventLoopGroup to process ChunkFetchRequest 
messages, it is decided
+   * by the config `spark.shuffle.server.chunkFetchHandlerThreadsPercent` is 
set or not.
+   */
+  public boolean separateChunkFetchRequest() {
+try {
+  conf.get("spark.shuffle.server.chunkFetchHandlerThreadsPercent");
 
 Review comment:
   Thanks, done in 4f42083.


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[GitHub] [spark] SparkQA removed a comment on issue #27690: [SPARK-21514][SQL] Added a new option to use non-blobstore storage when writing into blobstore storage

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SparkQA removed a comment on issue #27690: [SPARK-21514][SQL] Added a new 
option to use non-blobstore storage when writing into blobstore storage
URL: https://github.com/apache/spark/pull/27690#issuecomment-603585031
 
 
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[GitHub] [spark] SparkQA commented on issue #27690: [SPARK-21514][SQL] Added a new option to use non-blobstore storage when writing into blobstore storage

2020-03-24 Thread GitBox
SparkQA commented on issue #27690: [SPARK-21514][SQL] Added a new option to use 
non-blobstore storage when writing into blobstore storage
URL: https://github.com/apache/spark/pull/27690#issuecomment-603652551
 
 
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[`073b2e5`](https://github.com/apache/spark/commit/073b2e5aa299225dae830542247be0f15488eba9).
* This patch passes all tests.
* This patch merges cleanly.
* This patch adds no public classes.


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[GitHub] [spark] AmplabJenkins removed a comment on issue #27665: [SPARK-30623][Core] Spark external shuffle allow disable of separate event loop group

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external shuffle allow disable of separate event loop group
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[GitHub] [spark] AmplabJenkins removed a comment on issue #27665: [SPARK-30623][Core] Spark external shuffle allow disable of separate event loop group

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external shuffle allow disable of separate event loop group
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[GitHub] [spark] AmplabJenkins commented on issue #27665: [SPARK-30623][Core] Spark external shuffle allow disable of separate event loop group

2020-03-24 Thread GitBox
AmplabJenkins commented on issue #27665: [SPARK-30623][Core] Spark external 
shuffle allow disable of separate event loop group
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[GitHub] [spark] Ngone51 commented on a change in pull request #27943: [SPARK-31179] Fast fail the connection while last connection failed in the last retry IO wait

2020-03-24 Thread GitBox
Ngone51 commented on a change in pull request #27943: [SPARK-31179] Fast fail 
the connection while last connection failed in the last retry IO wait
URL: https://github.com/apache/spark/pull/27943#discussion_r397618892
 
 

 ##
 File path: 
common/network-common/src/main/java/org/apache/spark/network/client/TransportClientFactory.java
 ##
 @@ -112,6 +114,7 @@ public TransportClientFactory(
 }
 this.metrics = new NettyMemoryMetrics(
   this.pooledAllocator, conf.getModuleName() + "-client", conf);
+fastFailTimeWindow = conf.ioRetryWaitTimeMs() * 0.95;
 
 Review comment:
   I just have another idea to make code a bit more simpler:
   
   ```suggestion
   fastFailTimeWindow = if (conf.maxIORetries() > 0) 
conf.ioRetryWaitTimeMs() * 0.95 else 0;
   ```
   
   Then, we can simply the if condition below and call `conf.maxIORetries()` 
only once.


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[GitHub] [spark] AmplabJenkins commented on issue #27665: [SPARK-30623][Core] Spark external shuffle allow disable of separate event loop group

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shuffle allow disable of separate event loop group
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[GitHub] [spark] gatorsmile edited a comment on issue #27815: [SPARK-31088][SQL] Add back HiveContext and createExternalTable

2020-03-24 Thread GitBox
gatorsmile edited a comment on issue #27815: [SPARK-31088][SQL] Add back 
HiveContext and createExternalTable
URL: https://github.com/apache/spark/pull/27815#issuecomment-603650408
 
 
   There are three major reasons why I think we should keep HiveContext:
   - SQLContext will not be removed in the near future, because it is part of 
[DSV1 
APIs](https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/sources/interfaces.scala).
 HiveContext is just the corresponding parts with Hive metastore support. 
   - SQLContext/HiveContext is being used as the function parameter in many 
internal/public libraries. Replace it by SparkSession is not straightforward. 
It requires massive updates when end users upgrade Spark from 2.x to 3.x. 
   - SQLContext/HiveContext is being documented in various tutorials and books. 


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[GitHub] [spark] SparkQA commented on issue #27665: [SPARK-30623][Core] Spark external shuffle allow disable of separate event loop group

2020-03-24 Thread GitBox
SparkQA commented on issue #27665: [SPARK-30623][Core] Spark external shuffle 
allow disable of separate event loop group
URL: https://github.com/apache/spark/pull/27665#issuecomment-603650519
 
 
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[GitHub] [spark] gatorsmile edited a comment on issue #27815: [SPARK-31088][SQL] Add back HiveContext and createExternalTable

2020-03-24 Thread GitBox
gatorsmile edited a comment on issue #27815: [SPARK-31088][SQL] Add back 
HiveContext and createExternalTable
URL: https://github.com/apache/spark/pull/27815#issuecomment-603650408
 
 
   There are three major reasons why I think we should keep HiveContext:
   - SQLContext will not be removed in the near future, because it is part of 
DSV1 APIs. HiveContext is just the corresponding parts with Hive metastore 
support. 
   - SQLContext/HiveContext is being used as the function parameter in many 
internal/public libraries. Replace it by SparkSession is not straightforward. 
It requires massive updates when end users upgrade Spark from 2.x to 3.x. 
   - SQLContext/HiveContext is being documented in various tutorials and books. 


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[GitHub] [spark] gatorsmile commented on issue #27815: [SPARK-31088][SQL] Add back HiveContext and createExternalTable

2020-03-24 Thread GitBox
gatorsmile commented on issue #27815: [SPARK-31088][SQL] Add back HiveContext 
and createExternalTable
URL: https://github.com/apache/spark/pull/27815#issuecomment-603650408
 
 
   There are two major reasons why I think we should keep HiveContext:
   - SQLContext will not be removed in the near future, because it is part of 
DSV1 APIs. HiveContext is just the corresponding parts with Hive metastore 
support. 
   - SQLContext/HiveContext is being used as the function parameter in many 
internal/public libraries. Replace it by SparkSession is not straightforward. 
It requires massive updates when end users upgrade Spark from 2.x to 3.x. 
   - SQLContext/HiveContext is being documented in various tutorials and books. 


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[GitHub] [spark] yaooqinn commented on a change in pull request #28003: [SPARK-31234][SQL] ResetCommand should reset config to sc.conf only

2020-03-24 Thread GitBox
yaooqinn commented on a change in pull request #28003: [SPARK-31234][SQL] 
ResetCommand should reset config to sc.conf only
URL: https://github.com/apache/spark/pull/28003#discussion_r397615611
 
 

 ##
 File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
 ##
 @@ -3258,7 +3258,9 @@ class SQLConf extends Serializable with Logging {
   }
 
   def clear(): Unit = {
 
 Review comment:
   This API has been exposed to users since 2.1, and makes the SQLConf hard to 
be restored to its initial state after calling `spark.sessionState.conf.clear`


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[GitHub] [spark] cloud-fan commented on issue #27665: [SPARK-30623][Core] Spark external shuffle allow disable of separate event loop group

2020-03-24 Thread GitBox
cloud-fan commented on issue #27665: [SPARK-30623][Core] Spark external shuffle 
allow disable of separate event loop group
URL: https://github.com/apache/spark/pull/27665#issuecomment-603649303
 
 
   retest this please


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[GitHub] [spark] jiangxb1987 commented on issue #28007: [SPARK-31239][CORE][TEST] Increase await duration in `WorkerDecommissionSuite`.`verify a task with all workers decommissioned succeeds`

2020-03-24 Thread GitBox
jiangxb1987 commented on issue #28007: [SPARK-31239][CORE][TEST] Increase await 
duration in `WorkerDecommissionSuite`.`verify a task with all workers 
decommissioned succeeds`
URL: https://github.com/apache/spark/pull/28007#issuecomment-603647844
 
 
   Thanks @HyukjinKwon @dongjoon-hyun 


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[GitHub] [spark] dongjoon-hyun commented on issue #27815: [SPARK-31088][SQL] Add back HiveContext and createExternalTable

2020-03-24 Thread GitBox
dongjoon-hyun commented on issue #27815: [SPARK-31088][SQL] Add back 
HiveContext and createExternalTable
URL: https://github.com/apache/spark/pull/27815#issuecomment-603647771
 
 
   Hi, All.
   Although I have been against this reverting PR until now, I'll not be 
against any longer if @gatorsmile has his reason to support this.


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[GitHub] [spark] jiangxb1987 commented on issue #27972: [SPARK-31207][CORE] Ensure the total number of blocks to fetch equals to the sum of local/hostLocal/remote blocks

2020-03-24 Thread GitBox
jiangxb1987 commented on issue #27972: [SPARK-31207][CORE] Ensure the total 
number of blocks to fetch equals to the sum of local/hostLocal/remote blocks
URL: https://github.com/apache/spark/pull/27972#issuecomment-603647722
 
 
   Thanks @cloud-fan @dongjoon-hyun @Ngone51 


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[GitHub] [spark] yaooqinn commented on a change in pull request #28003: [SPARK-31234][SQL] ResetCommand should reset config to sc.conf only

2020-03-24 Thread GitBox
yaooqinn commented on a change in pull request #28003: [SPARK-31234][SQL] 
ResetCommand should reset config to sc.conf only
URL: https://github.com/apache/spark/pull/28003#discussion_r397615611
 
 

 ##
 File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
 ##
 @@ -3258,7 +3258,9 @@ class SQLConf extends Serializable with Logging {
   }
 
   def clear(): Unit = {
 
 Review comment:
   This API is exposed to users, and makes the SQLConf hard to be restored to 
its initial state after calling `spark.sessionState.conf.clear`


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[GitHub] [spark] yaooqinn commented on a change in pull request #28003: [SPARK-31234][SQL] ResetCommand should reset config to sc.conf only

2020-03-24 Thread GitBox
yaooqinn commented on a change in pull request #28003: [SPARK-31234][SQL] 
ResetCommand should reset config to sc.conf only
URL: https://github.com/apache/spark/pull/28003#discussion_r397615611
 
 

 ##
 File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
 ##
 @@ -3258,7 +3258,9 @@ class SQLConf extends Serializable with Logging {
   }
 
   def clear(): Unit = {
 
 Review comment:
   This API is exposed to users, and make the SQLConf hard to restore to its 
initial state after calling `spark.sessionState.conf.clear`


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[GitHub] [spark] SparkQA commented on issue #28003: [SPARK-31234][SQL] ResetCommand should reset config to sc.conf only

2020-03-24 Thread GitBox
SparkQA commented on issue #28003: [SPARK-31234][SQL] ResetCommand should reset 
config to sc.conf only
URL: https://github.com/apache/spark/pull/28003#issuecomment-603646664
 
 
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[GitHub] [spark] maropu commented on issue #27935: [SPARK-25121][SQL] Supports multi-part table names for broadcast hint resolution

2020-03-24 Thread GitBox
maropu commented on issue #27935: [SPARK-25121][SQL] Supports multi-part table 
names for broadcast hint resolution
URL: https://github.com/apache/spark/pull/27935#issuecomment-603646852
 
 
   Sure, I'll do that. Thanks!


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[GitHub] [spark] yaooqinn commented on issue #28003: [SPARK-31234][SQL] ResetCommand should reset config to sc.conf only

2020-03-24 Thread GitBox
yaooqinn commented on issue #28003: [SPARK-31234][SQL] ResetCommand should 
reset config to sc.conf only
URL: https://github.com/apache/spark/pull/28003#issuecomment-603646632
 
 
   also, cc @cloud-fan @gatorsmile thanks


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[GitHub] [spark] AmplabJenkins removed a comment on issue #27991: [SPARK-31227][SQL] Non-nullable null type in complex types should not coerce to nullable type

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Non-nullable null type in complex types should not coerce to nullable type
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[GitHub] [spark] cloud-fan commented on issue #27972: [SPARK-31207][CORE] Ensure the total number of blocks to fetch equals to the sum of local/hostLocal/remote blocks

2020-03-24 Thread GitBox
cloud-fan commented on issue #27972: [SPARK-31207][CORE] Ensure the total 
number of blocks to fetch equals to the sum of local/hostLocal/remote blocks
URL: https://github.com/apache/spark/pull/27972#issuecomment-603646303
 
 
   thanks, merging to master/3.0!


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[GitHub] [spark] cloud-fan closed pull request #27972: [SPARK-31207][CORE] Ensure the total number of blocks to fetch equals to the sum of local/hostLocal/remote blocks

2020-03-24 Thread GitBox
cloud-fan closed pull request #27972: [SPARK-31207][CORE] Ensure the total 
number of blocks to fetch equals to the sum of local/hostLocal/remote blocks
URL: https://github.com/apache/spark/pull/27972
 
 
   


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[GitHub] [spark] SparkQA removed a comment on issue #27991: [SPARK-31227][SQL] Non-nullable null type in complex types should not coerce to nullable type

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[GitHub] [spark] SparkQA commented on issue #27991: [SPARK-31227][SQL] Non-nullable null type in complex types should not coerce to nullable type

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SparkQA commented on issue #27991: [SPARK-31227][SQL] Non-nullable null type in 
complex types should not coerce to nullable type
URL: https://github.com/apache/spark/pull/27991#issuecomment-603645528
 
 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #28006: [DO-NOT-MERGE][SPARK-31231][BUILD][2.4][FOLLOW-UP] Set the upper bound (before 46.1.0) for setuptools in pip package test

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[GitHub] [spark] AmplabJenkins commented on issue #28006: [DO-NOT-MERGE][SPARK-31231][BUILD][2.4][FOLLOW-UP] Set the upper bound (before 46.1.0) for setuptools in pip package test

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[GitHub] [spark] HyukjinKwon commented on a change in pull request #27956: [SPARK-31189][SQL][DOCS] Fix errors and missing parts for datetime pattern document

2020-03-24 Thread GitBox
HyukjinKwon commented on a change in pull request #27956: 
[SPARK-31189][SQL][DOCS] Fix errors and missing parts for datetime pattern 
document
URL: https://github.com/apache/spark/pull/27956#discussion_r397613125
 
 

 ##
 File path: python/pyspark/sql/streaming.py
 ##
 @@ -491,6 +490,7 @@ def json(self, path, schema=None, primitivesAsString=None, 
prefersDecimal=None,
 disables `partition discovery`_.
 
 .. _partition discovery: 
/sql-data-sources-parquet.html#partition-discovery
 
 Review comment:
   Oh, right. The root directory is different when it's released. Sure, seems 
like it's best to stick to the absolute links then. The syntax itself is fine 
as a relative link


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[GitHub] [spark] SparkQA commented on issue #28006: [DO-NOT-MERGE][SPARK-31231][BUILD][2.4][FOLLOW-UP] Set the upper bound (before 46.1.0) for setuptools in pip package test

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SparkQA commented on issue #28006: 
[DO-NOT-MERGE][SPARK-31231][BUILD][2.4][FOLLOW-UP] Set the upper bound (before 
46.1.0) for setuptools in pip package test 
URL: https://github.com/apache/spark/pull/28006#issuecomment-603644413
 
 
   **[Test build #120301 has 
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[`384d1e3`](https://github.com/apache/spark/commit/384d1e32f1d3dabc1297ad1cb288fe998ddbbef7).
* This patch passes all tests.
* This patch merges cleanly.
* This patch adds no public classes.


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[GitHub] [spark] xuanyuanking commented on a change in pull request #27665: [SPARK-30623][Core] Spark external shuffle allow disable of separate event loop group

2020-03-24 Thread GitBox
xuanyuanking commented on a change in pull request #27665: [SPARK-30623][Core] 
Spark external shuffle allow disable of separate event loop group
URL: https://github.com/apache/spark/pull/27665#discussion_r397612491
 
 

 ##
 File path: 
common/network-common/src/test/java/org/apache/spark/network/TransportRequestHandlerSuite.java
 ##
 @@ -39,7 +39,7 @@
 public class TransportRequestHandlerSuite {
 
   @Test
-  public void handleStreamRequest() {
+  public void handleStreamRequest() throws Exception {
 
 Review comment:
   Yes, because of the changes for `TransportRequestHandler.handler` here: 
https://github.com/apache/spark/pull/27665/files#diff-0e3429029d3f8d49e94ef11e4e3051a2R105


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[GitHub] [spark] yaooqinn commented on a change in pull request #27956: [SPARK-31189][SQL][DOCS] Fix errors and missing parts for datetime pattern document

2020-03-24 Thread GitBox
yaooqinn commented on a change in pull request #27956: [SPARK-31189][SQL][DOCS] 
Fix errors and missing parts for datetime pattern document
URL: https://github.com/apache/spark/pull/27956#discussion_r397611490
 
 

 ##
 File path: python/pyspark/sql/streaming.py
 ##
 @@ -491,6 +490,7 @@ def json(self, path, schema=None, primitivesAsString=None, 
prefersDecimal=None,
 disables `partition discovery`_.
 
 .. _partition discovery: 
/sql-data-sources-parquet.html#partition-discovery
 
 Review comment:
   the links are malformed, please check  
http://spark.apache.org/docs/3.0.0-preview2/api/python/pyspark.sql.html#module-pyspark.sql.streaming
 with `partition discovery` content


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[GitHub] [spark] HyukjinKwon commented on issue #28005: [SPARK-31231][BUILD][FOLLOW-UP] Set the upper bound (before 46.1.0) for setuptools in pip package test

2020-03-24 Thread GitBox
HyukjinKwon commented on issue #28005: [SPARK-31231][BUILD][FOLLOW-UP] Set the 
upper bound (before 46.1.0) for setuptools in pip package test
URL: https://github.com/apache/spark/pull/28005#issuecomment-603642856
 
 
   retest this please


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[GitHub] [spark] HyukjinKwon commented on a change in pull request #27956: [SPARK-31189][SQL][DOCS] Fix errors and missing parts for datetime pattern document

2020-03-24 Thread GitBox
HyukjinKwon commented on a change in pull request #27956: 
[SPARK-31189][SQL][DOCS] Fix errors and missing parts for datetime pattern 
document
URL: https://github.com/apache/spark/pull/27956#discussion_r397610671
 
 

 ##
 File path: python/pyspark/sql/streaming.py
 ##
 @@ -491,6 +490,7 @@ def json(self, path, schema=None, primitivesAsString=None, 
prefersDecimal=None,
 disables `partition discovery`_.
 
 .. _partition discovery: 
/sql-data-sources-parquet.html#partition-discovery
 
 Review comment:
   Sorry for my late response.


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[GitHub] [spark] HyukjinKwon commented on a change in pull request #27956: [SPARK-31189][SQL][DOCS] Fix errors and missing parts for datetime pattern document

2020-03-24 Thread GitBox
HyukjinKwon commented on a change in pull request #27956: 
[SPARK-31189][SQL][DOCS] Fix errors and missing parts for datetime pattern 
document
URL: https://github.com/apache/spark/pull/27956#discussion_r397610591
 
 

 ##
 File path: python/pyspark/sql/streaming.py
 ##
 @@ -491,6 +490,7 @@ def json(self, path, schema=None, primitivesAsString=None, 
prefersDecimal=None,
 disables `partition discovery`_.
 
 .. _partition discovery: 
/sql-data-sources-parquet.html#partition-discovery
 
 Review comment:
   This is fine - it's a way of reusing a link. It's a relative link


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[GitHub] [spark] SparkQA commented on issue #28005: [SPARK-31231][BUILD][FOLLOW-UP] Set the upper bound (before 46.1.0) for setuptools in pip package test

2020-03-24 Thread GitBox
SparkQA commented on issue #28005: [SPARK-31231][BUILD][FOLLOW-UP] Set the 
upper bound (before 46.1.0) for setuptools in pip package test
URL: https://github.com/apache/spark/pull/28005#issuecomment-603641928
 
 
   **[Test build #120302 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/120302/testReport)**
 for PR 28005 at commit 
[`6999fa7`](https://github.com/apache/spark/commit/6999fa79bf7b5aed9878e461d86e8dcdeaf69523).
* This patch **fails Spark unit tests**.
* This patch merges cleanly.
* This patch adds no public classes.


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[GitHub] [spark] HyukjinKwon commented on a change in pull request #27956: [SPARK-31189][SQL][DOCS] Fix errors and missing parts for datetime pattern document

2020-03-24 Thread GitBox
HyukjinKwon commented on a change in pull request #27956: 
[SPARK-31189][SQL][DOCS] Fix errors and missing parts for datetime pattern 
document
URL: https://github.com/apache/spark/pull/27956#discussion_r397610591
 
 

 ##
 File path: python/pyspark/sql/streaming.py
 ##
 @@ -491,6 +490,7 @@ def json(self, path, schema=None, primitivesAsString=None, 
prefersDecimal=None,
 disables `partition discovery`_.
 
 .. _partition discovery: 
/sql-data-sources-parquet.html#partition-discovery
 
 Review comment:
   This is fine - it's a way of reusing a link


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[GitHub] [spark] viirya commented on a change in pull request #27902: [SPARK-31147][SQL] Forbid CHAR type in non-Hive-Serde tables

2020-03-24 Thread GitBox
viirya commented on a change in pull request #27902: [SPARK-31147][SQL] Forbid 
CHAR type in non-Hive-Serde tables
URL: https://github.com/apache/spark/pull/27902#discussion_r397610314
 
 

 ##
 File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/connector/catalog/CatalogV2Util.scala
 ##
 @@ -329,4 +331,19 @@ private[sql] object CatalogV2Util {
   .getOrElse(catalogManager.v2SessionCatalog)
   .asTableCatalog
   }
+
+  def failCharType(dt: DataType): Unit = {
+if (HiveStringType.containsCharType(dt)) {
+  throw new AnalysisException(
+"Cannot use CHAR type in non-Hive-Serde tables, please use STRING type 
instead.")
+}
+  }
+
+  def assertNoCharTypeInSchema(schema: StructType): Unit = {
+schema.foreach { f =>
+  if (f.metadata.contains(HIVE_TYPE_STRING)) {
+
failCharType(CatalystSqlParser.parseRawDataType(f.metadata.getString(HIVE_TYPE_STRING)))
+  }
 
 Review comment:
   So we don't need to detect char type in so many cases?


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[GitHub] [spark] viirya commented on a change in pull request #27902: [SPARK-31147][SQL] Forbid CHAR type in non-Hive-Serde tables

2020-03-24 Thread GitBox
viirya commented on a change in pull request #27902: [SPARK-31147][SQL] Forbid 
CHAR type in non-Hive-Serde tables
URL: https://github.com/apache/spark/pull/27902#discussion_r397610129
 
 

 ##
 File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/connector/catalog/CatalogV2Util.scala
 ##
 @@ -329,4 +331,19 @@ private[sql] object CatalogV2Util {
   .getOrElse(catalogManager.v2SessionCatalog)
   .asTableCatalog
   }
+
+  def failCharType(dt: DataType): Unit = {
+if (HiveStringType.containsCharType(dt)) {
+  throw new AnalysisException(
+"Cannot use CHAR type in non-Hive-Serde tables, please use STRING type 
instead.")
+}
+  }
+
+  def assertNoCharTypeInSchema(schema: StructType): Unit = {
+schema.foreach { f =>
+  if (f.metadata.contains(HIVE_TYPE_STRING)) {
+
failCharType(CatalystSqlParser.parseRawDataType(f.metadata.getString(HIVE_TYPE_STRING)))
+  }
 
 Review comment:
   Can we just disallow char type at parser? Like throwing exception in 
`visitColType` when we find it?


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[GitHub] [spark] dongjoon-hyun edited a comment on issue #27997: [SPARK-31101][BUILD][2.4] Upgrade Janino to 3.0.16

2020-03-24 Thread GitBox
dongjoon-hyun edited a comment on issue #27997: [SPARK-31101][BUILD][2.4] 
Upgrade Janino to 3.0.16
URL: https://github.com/apache/spark/pull/27997#issuecomment-603640642
 
 
   Also, cc @gatorsmile and @cloud-fan since the situation is different from 
`master` and `branch-3.0`.
   ```
   - commons-compiler/3.0.9//commons-compiler-3.0.9.jar
   + commons-compiler/3.0.16//commons-compiler-3.0.16.jar
   ```


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[GitHub] [spark] dongjoon-hyun commented on issue #27997: [SPARK-31101][BUILD][2.4] Upgrade Janino to 3.0.16

2020-03-24 Thread GitBox
dongjoon-hyun commented on issue #27997: [SPARK-31101][BUILD][2.4] Upgrade 
Janino to 3.0.16
URL: https://github.com/apache/spark/pull/27997#issuecomment-603640642
 
 
   Also, cc @gatorsmile and @cloud-fan since the situation is different from 
`master` and `branch-3.0`.


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[GitHub] [spark] viirya commented on a change in pull request #27902: [SPARK-31147][SQL] Forbid CHAR type in non-Hive-Serde tables

2020-03-24 Thread GitBox
viirya commented on a change in pull request #27902: [SPARK-31147][SQL] Forbid 
CHAR type in non-Hive-Serde tables
URL: https://github.com/apache/spark/pull/27902#discussion_r397606686
 
 

 ##
 File path: docs/sql-migration-guide.md
 ##
 @@ -111,6 +111,8 @@ license: |
 
   - Since Spark 3.0, `SHOW CREATE TABLE` will always return Spark DDL, even 
when the given table is a Hive serde table. For generating Hive DDL, please use 
`SHOW CREATE TABLE AS SERDE` command instead.
 
+  - Since Spark 3.0, columns of CHAR type is not allowed in non-Hive-Serde 
tables, and CREATE/ALTER TABLE commands will fail if CHAR type is detected. 
Please use STRING type instead. In Spark version 2.4 and earlier, CHAR type is 
treated as STRING type and the length parameter is simply ignored.
 
 Review comment:
   nit: is -> are


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[GitHub] [spark] AmplabJenkins removed a comment on issue #27943: [SPARK-31179] Fast fail the connection while last connection failed in the last retry IO wait

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[GitHub] [spark] dongjoon-hyun commented on issue #27997: [SPARK-31101][BUILD][2.4] Upgrade Janino to 3.0.16

2020-03-24 Thread GitBox
dongjoon-hyun commented on issue #27997: [SPARK-31101][BUILD][2.4] Upgrade 
Janino to 3.0.16
URL: https://github.com/apache/spark/pull/27997#issuecomment-603640263
 
 
   Hi, @HeartSaVioR .
   Could you update the PR description, please?


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[GitHub] [spark] dongjoon-hyun closed pull request #27996: [SPARK-31101][BUILD][3.0] Upgrade Janino to 3.0.16

2020-03-24 Thread GitBox
dongjoon-hyun closed pull request #27996: [SPARK-31101][BUILD][3.0] Upgrade 
Janino to 3.0.16
URL: https://github.com/apache/spark/pull/27996
 
 
   


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[GitHub] [spark] SparkQA removed a comment on issue #27943: [SPARK-31179] Fast fail the connection while last connection failed in the last retry IO wait

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[GitHub] [spark] SparkQA commented on issue #27943: [SPARK-31179] Fast fail the connection while last connection failed in the last retry IO wait

2020-03-24 Thread GitBox
SparkQA commented on issue #27943: [SPARK-31179] Fast fail the connection while 
last connection failed in the last retry IO wait
URL: https://github.com/apache/spark/pull/27943#issuecomment-603639340
 
 
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* This patch passes all tests.
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* This patch adds no public classes.


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[GitHub] [spark] dongjoon-hyun commented on issue #27996: [SPARK-31101][BUILD][3.0] Upgrade Janino to 3.0.16

2020-03-24 Thread GitBox
dongjoon-hyun commented on issue #27996: [SPARK-31101][BUILD][3.0] Upgrade 
Janino to 3.0.16
URL: https://github.com/apache/spark/pull/27996#issuecomment-603639297
 
 
   Thank you so much, @HeartSaVioR !


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[GitHub] [spark] AmplabJenkins commented on issue #27728: [SPARK-25556][SPARK-17636][SPARK-31026][SPARK-31060][SQL][test-hive1.2] Nested Column Predicate Pushdown for Parquet

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[GitHub] [spark] dongjoon-hyun commented on issue #28007: [SPARK-31239][CORE][TEST] Increase await duration in `WorkerDecommissionSuite`.`verify a task with all workers decommissioned succeeds`

2020-03-24 Thread GitBox
dongjoon-hyun commented on issue #28007: [SPARK-31239][CORE][TEST] Increase 
await duration in `WorkerDecommissionSuite`.`verify a task with all workers 
decommissioned succeeds`
URL: https://github.com/apache/spark/pull/28007#issuecomment-603638943
 
 
   +1, LGTM. Thank you, @jiangxb1987 and @HyukjinKwon .
   cc @holdenk 


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[GitHub] [spark] dongjoon-hyun commented on issue #28006: [DO-NOT-MERGE][SPARK-31231][BUILD][2.4][FOLLOW-UP] Set the upper bound (before 46.1.0) for setuptools in pip package test

2020-03-24 Thread GitBox
dongjoon-hyun commented on issue #28006: 
[DO-NOT-MERGE][SPARK-31231][BUILD][2.4][FOLLOW-UP] Set the upper bound (before 
46.1.0) for setuptools in pip package test 
URL: https://github.com/apache/spark/pull/28006#issuecomment-603639137
 
 
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[GitHub] [spark] SparkQA commented on issue #27728: [SPARK-25556][SPARK-17636][SPARK-31026][SPARK-31060][SQL][test-hive1.2] Nested Column Predicate Pushdown for Parquet

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[GitHub] [spark] SparkQA commented on issue #27861: [SPARK-30707][SQL]Window function set partitionSpec as order spec when orderSpec is empty

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URL: https://github.com/apache/spark/pull/27861#issuecomment-603638807
 
 
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[GitHub] [spark] HyukjinKwon commented on issue #27861: [SPARK-30707][SQL]Window function set partitionSpec as order spec when orderSpec is empty

2020-03-24 Thread GitBox
HyukjinKwon commented on issue #27861: [SPARK-30707][SQL]Window function set 
partitionSpec as order spec when orderSpec is empty
URL: https://github.com/apache/spark/pull/27861#issuecomment-603638120
 
 
   retest this please


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[GitHub] [spark] gatorsmile commented on issue #27815: [SPARK-31088][SQL] Add back HiveContext and createExternalTable

2020-03-24 Thread GitBox
gatorsmile commented on issue #27815: [SPARK-31088][SQL] Add back HiveContext 
and createExternalTable
URL: https://github.com/apache/spark/pull/27815#issuecomment-603638140
 
 
   Let me correct the typo and rewrite my original reply to make my point 
clear. 
   
   Based on the latest discussion in the community, I strongly disagree that we 
removed these APIs in Spark 3.0 initially. I think we need to add them back. If 
we want to remove them, we need more public discussions in the community. This 
PR is just to add the removed APIs back and delay the related discussions to 
the future releases. 


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[GitHub] [spark] HyukjinKwon commented on issue #28010: [SPARK-26329][CORE][FOLLOW_UP] Fix some small typo

2020-03-24 Thread GitBox
HyukjinKwon commented on issue #28010: [SPARK-26329][CORE][FOLLOW_UP] Fix some 
small typo
URL: https://github.com/apache/spark/pull/28010#issuecomment-603637680
 
 
   Let's don't fix a couple of nits in a separate PR. If we should, let's do it 
in a batch as a minor PR.


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[GitHub] [spark] HyukjinKwon commented on issue #28007: [SPARK-31239][CORE][TEST] Increase await duration in `WorkerDecommissionSuite`.`verify a task with all workers decommissioned succeeds`

2020-03-24 Thread GitBox
HyukjinKwon commented on issue #28007: [SPARK-31239][CORE][TEST] Increase await 
duration in `WorkerDecommissionSuite`.`verify a task with all workers 
decommissioned succeeds`
URL: https://github.com/apache/spark/pull/28007#issuecomment-603637402
 
 
   Merged to master.


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[GitHub] [spark] HyukjinKwon closed pull request #28007: [SPARK-31239][CORE][TEST] Increase await duration in `WorkerDecommissionSuite`.`verify a task with all workers decommissioned succeeds`

2020-03-24 Thread GitBox
HyukjinKwon closed pull request #28007: [SPARK-31239][CORE][TEST] Increase 
await duration in `WorkerDecommissionSuite`.`verify a task with all workers 
decommissioned succeeds`
URL: https://github.com/apache/spark/pull/28007
 
 
   


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