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Posted to reviews@spark.apache.org by "dh20 (via GitHub)" <gi...@apache.org> on 2023/07/20 07:19:03 UTC
[GitHub] [spark] dh20 opened a new pull request, #42090: [SPARK-44483] [SQL] When using Spark to read the hive table, the number of file partitions cannot be set using Spark's configuration settings
dh20 opened a new pull request, #42090:
URL: https://github.com/apache/spark/pull/42090
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### What changes were proposed in this pull request?
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Increase the parallelism of sparksql settings when reading the hive table
### Why are the changes needed?
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The current user is unable to set the parallelism for reading the hive table in the session
### Does this PR introduce _any_ user-facing change?
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Can add a configuration for users to read the hive table and set parallelism
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exist test. Tested in cluster
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Re: [PR] [SPARK-44483] [SQL] When using Spark to read the hive table, the number of file partitions cannot be set using Spark's configuration settings [spark]
Posted by "github-actions[bot] (via GitHub)" <gi...@apache.org>.
github-actions[bot] closed pull request #42090: [SPARK-44483] [SQL] When using Spark to read the hive table, the number of file partitions cannot be set using Spark's configuration settings
URL: https://github.com/apache/spark/pull/42090
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Re: [PR] [SPARK-44483] [SQL] When using Spark to read the hive table, the number of file partitions cannot be set using Spark's configuration settings [spark]
Posted by "github-actions[bot] (via GitHub)" <gi...@apache.org>.
github-actions[bot] commented on PR #42090:
URL: https://github.com/apache/spark/pull/42090#issuecomment-1793262486
We're closing this PR because it hasn't been updated in a while. This isn't a judgement on the merit of the PR in any way. It's just a way of keeping the PR queue manageable.
If you'd like to revive this PR, please reopen it and ask a committer to remove the Stale tag!
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[GitHub] [spark] dh20 commented on a diff in pull request #42090: [SPARK-44483] [SQL] When using Spark to read the hive table, the number of file partitions cannot be set using Spark's configuration settings
Posted by "dh20 (via GitHub)" <gi...@apache.org>.
dh20 commented on code in PR #42090:
URL: https://github.com/apache/spark/pull/42090#discussion_r1273070183
##########
sql/hive/src/main/scala/org/apache/spark/sql/hive/TableReader.scala:
##########
@@ -79,8 +79,9 @@ class HadoopTableReader(
private val _minSplitsPerRDD = if (sparkSession.sparkContext.isLocal) {
0 // will splitted based on block by default.
} else {
- math.max(hadoopConf.getInt("mapreduce.job.maps", 1),
- sparkSession.sparkContext.defaultMinPartitions)
+ val value = sparkSession.sessionState.conf.hiveMinPartitionNum
+ .getOrElse(sparkSession.sparkContext.defaultMinPartitions)
+ math.max(hadoopConf.getInt("mapreduce.job.maps", 1), value)
Review Comment:
@wangyum Hi, sir, are you still following
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[GitHub] [spark] dh20 commented on pull request #42090: [SPARK-44483] [SQL] When using Spark to read the hive table, the number of file partitions cannot be set using Spark's configuration settings
Posted by "dh20 (via GitHub)" <gi...@apache.org>.
dh20 commented on PR #42090:
URL: https://github.com/apache/spark/pull/42090#issuecomment-1644881011
@dongjoon-hyun Hi,can you help me review PR!,ths
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[GitHub] [spark] dh20 commented on pull request #42090: [SPARK-44483] [SQL] When using Spark to read the hive table, the number of file partitions cannot be set using Spark's configuration settings
Posted by "dh20 (via GitHub)" <gi...@apache.org>.
dh20 commented on PR #42090:
URL: https://github.com/apache/spark/pull/42090#issuecomment-1650826053
@cloud-fan hi, can you help me review this PR? ths!!!
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[GitHub] [spark] wangyum commented on a diff in pull request #42090: [SPARK-44483] [SQL] When using Spark to read the hive table, the number of file partitions cannot be set using Spark's configuration settings
Posted by "wangyum (via GitHub)" <gi...@apache.org>.
wangyum commented on code in PR #42090:
URL: https://github.com/apache/spark/pull/42090#discussion_r1270198582
##########
sql/hive/src/main/scala/org/apache/spark/sql/hive/TableReader.scala:
##########
@@ -79,8 +79,9 @@ class HadoopTableReader(
private val _minSplitsPerRDD = if (sparkSession.sparkContext.isLocal) {
0 // will splitted based on block by default.
} else {
- math.max(hadoopConf.getInt("mapreduce.job.maps", 1),
- sparkSession.sparkContext.defaultMinPartitions)
+ val value = sparkSession.sessionState.conf.hiveMinPartitionNum
+ .getOrElse(sparkSession.sparkContext.defaultMinPartitions)
+ math.max(hadoopConf.getInt("mapreduce.job.maps", 1), value)
Review Comment:
Could we get the configuration value from `sparkSession.sessionState.conf` instead of `hadoopconf`?
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[GitHub] [spark] dh20 commented on a diff in pull request #42090: [SPARK-44483] [SQL] When using Spark to read the hive table, the number of file partitions cannot be set using Spark's configuration settings
Posted by "dh20 (via GitHub)" <gi...@apache.org>.
dh20 commented on code in PR #42090:
URL: https://github.com/apache/spark/pull/42090#discussion_r1270253264
##########
sql/hive/src/main/scala/org/apache/spark/sql/hive/TableReader.scala:
##########
@@ -79,8 +79,9 @@ class HadoopTableReader(
private val _minSplitsPerRDD = if (sparkSession.sparkContext.isLocal) {
0 // will splitted based on block by default.
} else {
- math.max(hadoopConf.getInt("mapreduce.job.maps", 1),
- sparkSession.sparkContext.defaultMinPartitions)
+ val value = sparkSession.sessionState.conf.hiveMinPartitionNum
+ .getOrElse(sparkSession.sparkContext.defaultMinPartitions)
+ math.max(hadoopConf.getInt("mapreduce.job.maps", 1), value)
Review Comment:
This is also okay, simply discard the configuration obtained from hadoopconf, but for compatibility, this user has already been configured in hadoopconf. I think it can also be added here
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[GitHub] [spark] dh20 commented on a diff in pull request #42090: [SPARK-44483] [SQL] When using Spark to read the hive table, the number of file partitions cannot be set using Spark's configuration settings
Posted by "dh20 (via GitHub)" <gi...@apache.org>.
dh20 commented on code in PR #42090:
URL: https://github.com/apache/spark/pull/42090#discussion_r1271203786
##########
sql/hive/src/main/scala/org/apache/spark/sql/hive/TableReader.scala:
##########
@@ -79,8 +79,9 @@ class HadoopTableReader(
private val _minSplitsPerRDD = if (sparkSession.sparkContext.isLocal) {
0 // will splitted based on block by default.
} else {
- math.max(hadoopConf.getInt("mapreduce.job.maps", 1),
- sparkSession.sparkContext.defaultMinPartitions)
+ val value = sparkSession.sessionState.conf.hiveMinPartitionNum
+ .getOrElse(sparkSession.sparkContext.defaultMinPartitions)
+ math.max(hadoopConf.getInt("mapreduce.job.maps", 1), value)
Review Comment:
@wangyum Hi, sir, can you initiate another test? These errors seem unrelated to my current modifications
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[GitHub] [spark] dh20 commented on a diff in pull request #42090: [SPARK-44483] [SQL] When using Spark to read the hive table, the number of file partitions cannot be set using Spark's configuration settings
Posted by "dh20 (via GitHub)" <gi...@apache.org>.
dh20 commented on code in PR #42090:
URL: https://github.com/apache/spark/pull/42090#discussion_r1273070183
##########
sql/hive/src/main/scala/org/apache/spark/sql/hive/TableReader.scala:
##########
@@ -79,8 +79,9 @@ class HadoopTableReader(
private val _minSplitsPerRDD = if (sparkSession.sparkContext.isLocal) {
0 // will splitted based on block by default.
} else {
- math.max(hadoopConf.getInt("mapreduce.job.maps", 1),
- sparkSession.sparkContext.defaultMinPartitions)
+ val value = sparkSession.sessionState.conf.hiveMinPartitionNum
+ .getOrElse(sparkSession.sparkContext.defaultMinPartitions)
+ math.max(hadoopConf.getInt("mapreduce.job.maps", 1), value)
Review Comment:
@wangyum Hi, sir, are you still following
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