c8779d9dfc
### What changes were proposed in this pull request? Force to initialize Hadoop VersionInfo in HiveExternalCatalog to make sure Hive can get the Hadoop version when using the isolated classloader. ### Why are the changes needed? This is a regression in Spark 3.0.0 because we switched the default Hive execution version from 1.2.1 to 2.3.7. Spark allows the user to set `spark.sql.hive.metastore.jars` to specify jars to access Hive Metastore. These jars are loaded by the isolated classloader. Because we also share Hadoop classes with the isolated classloader, the user doesn't need to add Hadoop jars to `spark.sql.hive.metastore.jars`, which means when we are using the isolated classloader, hadoop-common jar is not available in this case. If Hadoop VersionInfo is not initialized before we switch to the isolated classloader, and we try to initialize it using the isolated classloader (the current thread context classloader), it will fail and report `Unknown` which causes Hive to throw the following exception: ``` java.lang.RuntimeException: Illegal Hadoop Version: Unknown (expected A.B.* format) at org.apache.hadoop.hive.shims.ShimLoader.getMajorVersion(ShimLoader.java:147) at org.apache.hadoop.hive.shims.ShimLoader.loadShims(ShimLoader.java:122) at org.apache.hadoop.hive.shims.ShimLoader.getHadoopShims(ShimLoader.java:88) at org.apache.hadoop.hive.metastore.ObjectStore.getDataSourceProps(ObjectStore.java:377) at org.apache.hadoop.hive.metastore.ObjectStore.setConf(ObjectStore.java:268) at org.apache.hadoop.util.ReflectionUtils.setConf(ReflectionUtils.java:76) at org.apache.hadoop.util.ReflectionUtils.newInstance(ReflectionUtils.java:136) at org.apache.hadoop.hive.metastore.RawStoreProxy.<init>(RawStoreProxy.java:58) at org.apache.hadoop.hive.metastore.RawStoreProxy.getProxy(RawStoreProxy.java:67) at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.newRawStore(HiveMetaStore.java:517) at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.getMS(HiveMetaStore.java:482) at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.createDefaultDB(HiveMetaStore.java:544) at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.init(HiveMetaStore.java:370) at org.apache.hadoop.hive.metastore.RetryingHMSHandler.<init>(RetryingHMSHandler.java:78) at org.apache.hadoop.hive.metastore.RetryingHMSHandler.getProxy(RetryingHMSHandler.java:84) at org.apache.hadoop.hive.metastore.HiveMetaStore.newRetryingHMSHandler(HiveMetaStore.java:5762) at org.apache.hadoop.hive.metastore.HiveMetaStoreClient.<init>(HiveMetaStoreClient.java:219) at org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient.<init>(SessionHiveMetaStoreClient.java:67) at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method) at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62) at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45) at java.lang.reflect.Constructor.newInstance(Constructor.java:423) at org.apache.hadoop.hive.metastore.MetaStoreUtils.newInstance(MetaStoreUtils.java:1548) at org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.<init>(RetryingMetaStoreClient.java:86) at org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.getProxy(RetryingMetaStoreClient.java:132) at org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.getProxy(RetryingMetaStoreClient.java:104) at org.apache.hadoop.hive.ql.metadata.Hive.createMetaStoreClient(Hive.java:3080) at org.apache.hadoop.hive.ql.metadata.Hive.getMSC(Hive.java:3108) at org.apache.hadoop.hive.ql.metadata.Hive.getAllFunctions(Hive.java:3349) at org.apache.hadoop.hive.ql.metadata.Hive.reloadFunctions(Hive.java:217) at org.apache.hadoop.hive.ql.metadata.Hive.registerAllFunctionsOnce(Hive.java:204) at org.apache.hadoop.hive.ql.metadata.Hive.<init>(Hive.java:331) at org.apache.hadoop.hive.ql.metadata.Hive.get(Hive.java:292) at org.apache.hadoop.hive.ql.metadata.Hive.getInternal(Hive.java:262) at org.apache.hadoop.hive.ql.metadata.Hive.get(Hive.java:247) at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:543) at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:511) at org.apache.spark.sql.hive.client.HiveClientImpl.newState(HiveClientImpl.scala:175) at org.apache.spark.sql.hive.client.HiveClientImpl.<init>(HiveClientImpl.scala:128) at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method) at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62) at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45) at java.lang.reflect.Constructor.newInstance(Constructor.java:423) at org.apache.spark.sql.hive.client.IsolatedClientLoader.createClient(IsolatedClientLoader.scala:301) at org.apache.spark.sql.hive.HiveUtils$.newClientForMetadata(HiveUtils.scala:431) at org.apache.spark.sql.hive.HiveUtils$.newClientForMetadata(HiveUtils.scala:324) at org.apache.spark.sql.hive.HiveExternalCatalog.client$lzycompute(HiveExternalCatalog.scala:72) at org.apache.spark.sql.hive.HiveExternalCatalog.client(HiveExternalCatalog.scala:71) at org.apache.spark.sql.hive.client.HadoopVersionInfoSuite.$anonfun$new$1(HadoopVersionInfoSuite.scala:63) at org.scalatest.OutcomeOf.outcomeOf(OutcomeOf.scala:85) at org.scalatest.OutcomeOf.outcomeOf$(OutcomeOf.scala:83) ``` Technically, This is indeed an issue of Hadoop VersionInfo which has been fixed: https://issues.apache.org/jira/browse/HADOOP-14067. But since we are still supporting old Hadoop versions, we should fix it. Why this issue starts to happen in Spark 3.0.0? In Spark 2.4.x, we use Hive 1.2.1 by default. It will trigger `VersionInfo` initialization in the static codes of `Hive` class. This will happen when we load `HiveClientImpl` class because `HiveClientImpl.clent` method refers to `Hive` class. At this moment, the thread context classloader is not using the isolcated classloader, so it can access hadoop-common jar on the classpath and initialize it correctly. In Spark 3.0.0, we use Hive 2.3.7. The static codes of `Hive` class are not accessing `VersionInfo` because of the change in https://issues.apache.org/jira/browse/HIVE-11657. Instead, accessing `VersionInfo` happens when creating a `Hive` object (See the above stack trace). This happens here https://github.com/apache/spark/blob/v3.0.0/sql/hive/src/main/scala/org/apache/spark/sql/hive/client/HiveClientImpl.scala#L260. But we switch to the isolated classloader before calling `HiveClientImpl.client` (See https://github.com/apache/spark/blob/v3.0.0/sql/hive/src/main/scala/org/apache/spark/sql/hive/client/HiveClientImpl.scala#L283). This is exactly what I mentioned above: `If Hadoop VersionInfo is not initialized before we switch to the isolated classloader, and we try to initialize it using the isolated classloader (the current thread context classloader), it will fail` ### Does this PR introduce _any_ user-facing change? No. ### How was this patch tested? The new regression test added in this PR. Note that the new UT doesn't fail with the default profiles (-Phadoop-3.2) because it's already fixed at Hadoop 3.1. Please use the following to verify this. ``` build/sbt -Phadoop-2.7 -Phive "hive/testOnly *.HadoopVersionInfoSuite" ``` Closes #29059 from zsxwing/SPARK-32256. Authored-by: Shixiong Zhu <zsxwing@gmail.com> Signed-off-by: HyukjinKwon <gurwls223@apache.org> |
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| .. | ||
| catalyst | ||
| core | ||
| hive | ||
| hive-thriftserver | ||
| create-docs.sh | ||
| gen-sql-api-docs.py | ||
| gen-sql-config-docs.py | ||
| gen-sql-functions-docs.py | ||
| mkdocs.yml | ||
| README.md | ||
Spark SQL
This module provides support for executing relational queries expressed in either SQL or the DataFrame/Dataset API.
Spark SQL is broken up into four subprojects:
- Catalyst (sql/catalyst) - An implementation-agnostic framework for manipulating trees of relational operators and expressions.
- Execution (sql/core) - A query planner / execution engine for translating Catalyst's logical query plans into Spark RDDs. This component also includes a new public interface, SQLContext, that allows users to execute SQL or LINQ statements against existing RDDs and Parquet files.
- Hive Support (sql/hive) - Includes extensions that allow users to write queries using a subset of HiveQL and access data from a Hive Metastore using Hive SerDes. There are also wrappers that allow users to run queries that include Hive UDFs, UDAFs, and UDTFs.
- HiveServer and CLI support (sql/hive-thriftserver) - Includes support for the SQL CLI (bin/spark-sql) and a HiveServer2 (for JDBC/ODBC) compatible server.
Running ./sql/create-docs.sh generates SQL documentation for built-in functions under sql/site, and SQL configuration documentation that gets included as part of configuration.md in the main docs directory.