pan3793 opened a new pull request, #47646:
URL: https://github.com/apache/spark/pull/47646
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### What changes were proposed in this pull request?
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This is similar to SPARK-23186, which eagerly initializes DriverManager on
the executor side to address some JDBC drivers' deadlock issue on initializing.
### Why are the changes needed?
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Please clarify why the changes are needed. For instance,
1. If you propose a new API, clarify the use case for a new API.
2. If you fix a bug, you can clarify why it is a bug.
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We got a report from our customer that there is a deadlock issue when using
the Spark JDBC connector with StarRocks connectors, the Spark driver thread
dump shows it is caused by `com.mysql.jdbc.Driver` initializing deadlock, more
tech details are explained at
[STORM-2527](https://issues.apache.org/jira/browse/STORM-2527) and SPARK-23186.
```
"SparkSQLSessionManager-exec-pool: Thread-8176" #8176 daemon prio=5
os_prio=0 tid=0x0000000003ee0000 nid=0x932 in Object.wait() [0x00007f0a22c2e000]
java.lang.Thread.State: RUNNABLE
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:264)
at
com.starrocks.connector.spark.sql.connect.StarRocksConnector.createJdbcConnection(StarRocksConnector.java:94)
at
com.starrocks.connector.spark.sql.connect.StarRocksConnector.extractColumnValuesBySql(StarRocksConnector.java:111)
at
com.starrocks.connector.spark.sql.connect.StarRocksConnector.getSchema(StarRocksConnector.java:46)
at
com.starrocks.connector.spark.sql.StarRocksTableProvider.getStarRocksSchema(StarRocksTableProvider.java:82)
at
com.starrocks.connector.spark.sql.StarRocksTableProvider.inferSchema(StarRocksTableProvider.java:64)
at
org.apache.spark.sql.execution.datasources.v2.DataSourceV2Utils$.getTableFromProvider(DataSourceV2Utils.scala:90)
at
org.apache.spark.sql.execution.datasources.v2.DataSourceV2Utils$.loadV2Source(DataSourceV2Utils.scala:140)
...
"SparkSQLSessionManager-exec-pool: Thread-8693" #8693 daemon prio=5
os_prio=0 tid=0x00007f0a78a0a000 nid=0x26d2 in Object.wait()
[0x00007f0a2161b000]
java.lang.Thread.State: RUNNABLE
at
org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions.$anonfun$driverClass$2(JDBCOptions.scala:107)
at
org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions$$Lambda$3369/1410955143.apply(Unknown
Source)
at scala.Option.getOrElse(Option.scala:189)
at
org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions.<init>(JDBCOptions.scala:107)
at
org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions.<init>(JDBCOptions.scala:39)
at
org.apache.spark.sql.execution.datasources.jdbc.JdbcRelationProvider.createRelation(JdbcRelationProvider.scala:34)
at
org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:346)
at
org.apache.spark.sql.execution.datasources.CreateTempViewUsing.$anonfun$run$2(ddl.scala:114)
at
org.apache.spark.sql.execution.datasources.CreateTempViewUsing$$Lambda$3355/398586231.apply(Unknown
Source)
at scala.Option.getOrElse(Option.scala:189)
at
org.apache.spark.sql.execution.datasources.CreateTempViewUsing.run(ddl.scala:106)
...
"SparkSQLSessionManager-exec-pool: Thread-8185" #8185 daemon prio=5
os_prio=0 tid=0x00007f0a5c3d0000 nid=0x11ce in Object.wait()
[0x00007f0a24345000]
java.lang.Thread.State: RUNNABLE
at
org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions.$anonfun$driverClass$2(JDBCOptions.scala:107)
at
org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions$$Lambda$3369/1410955143.apply(Unknown
Source)
at scala.Option.getOrElse(Option.scala:189)
at
org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions.<init>(JDBCOptions.scala:107)
at
org.apache.spark.sql.execution.datasources.jdbc.JDBCOptions.<init>(JDBCOptions.scala:39)
at
org.apache.spark.sql.execution.datasources.jdbc.JdbcRelationProvider.createRelation(JdbcRelationProvider.scala:34)
at
org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:346)
at
org.apache.spark.sql.execution.datasources.CreateTempViewUsing.$anonfun$run$2(ddl.scala:114)
at
org.apache.spark.sql.execution.datasources.CreateTempViewUsing$$Lambda$3355/398586231.apply(Unknown
Source)
at scala.Option.getOrElse(Option.scala:189)
at
org.apache.spark.sql.execution.datasources.CreateTempViewUsing.run(ddl.scala:106)
...
```
### Does this PR introduce _any_ user-facing change?
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Note that it means *any* user-facing change including all aspects such as
the documentation fix.
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Yes, this would address potential Spark driver-side JDBC diver initializing
deadlock issues.
### How was this patch tested?
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test cases that check the changes thoroughly including negative and positive
cases if possible.
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Tested in our customer env for a few days, the deadlock has gone after
eagerly initializing DriverManager.
### Was this patch authored or co-authored using generative AI tooling?
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patch, please include the
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No
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