pan3793 opened a new pull request, #53608:
URL: https://github.com/apache/spark/pull/53608
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### What changes were proposed in this pull request?
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This PR proposes to allow (some) hive configs `SET` by the user at the
session level to take effect by propagating them to the Hive client, which
addresses a typical use case for dynamic partition insertion using the Hive
Serde way.
```
org.apache.spark.sql.AnalysisException:
org.apache.hadoop.hive.ql.metadata.HiveException: Number of dynamic partitions
created is 1001, which is more than 1000. To solve this try to set
hive.exec.max.dynamic.partitions to at least 3.
at
org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:119)
at
org.apache.spark.sql.hive.HiveExternalCatalog.loadDynamicPartitions(HiveExternalCatalog.scala:1032)
at
org.apache.spark.sql.catalyst.catalog.ExternalCatalogWithListener.loadDynamicPartitions(ExternalCatalogWithListener.scala:196)
at
org.apache.spark.sql.hive.execution.InsertIntoHiveTable.processInsert(InsertIntoHiveTable.scala:207)
at
org.apache.spark.sql.hive.execution.InsertIntoHiveTable.run(InsertIntoHiveTable.scala:106)
at
org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult$lzycompute(commands.scala:117)
at
org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:115)
at
org.apache.spark.sql.execution.command.DataWritingCommandExec.executeCollect(commands.scala:129)
```
### Why are the changes needed?
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The current state is misleading, user must set
`hive.exec.max.dynamic.partitions` before starting the Spark application, it's
inconvenient and also does not make sense for Spark Connect cases -
multi-tenants use a shared Spark application, and the users are not able to set
the static configs.
```
-- this works
SET hive.exec.dynamic.partition.mode=nonstrict;
-- this does not work, but the error message suggests the user do that.
SET hive.exec.max.dynamic.partitions=1001;
```
it's a longstanding issue since Spark 2.0, as SPARK-19881 attempted to
tackle it, but was not accepted. This PR proposes a new approach that should be
safer and won't break the usage of the shared metastore client.
it's also a feature gap between Spark SQL and Hive.
### Does this PR introduce _any_ user-facing change?
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Yes, `SET hive.exec.max.dynamic.partitions=1001` works now, as Hive does.
### How was this patch tested?
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New UT is added.
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No.
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