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xuewei.linxuewei eb379766f4 [SPARK-32705][SQL] Fix serialization issue for EmptyHashedRelation 
### What changes were proposed in this pull request?
Currently, EmptyHashedRelation and HashedRelationWithAllNullKeys is an object, and it will cause JavaDeserialization Exception as following

```
20/08/26 11:13:30 WARN [task-result-getter-2] TaskSetManager: Lost task 34.0 in stage 57.0 (TID 18076, emr-worker-5.cluster-183257, executor 18): java.io.InvalidClassException: org.apache.spark.sql.execution.joins.EmptyHashedRelation$; no valid constructor
        at java.io.ObjectStreamClass$ExceptionInfo.newInvalidClassException(ObjectStreamClass.java:169)
        at java.io.ObjectStreamClass.checkDeserialize(ObjectStreamClass.java:874)
        at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2042)
        at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1572)
        at java.io.ObjectInputStream.readObject(ObjectInputStream.java:430)
        at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:76)
        at org.apache.spark.broadcast.TorrentBroadcast$.$anonfun$unBlockifyObject$4(TorrentBroadcast.scala:328)
```

This PR includes

* Using case object instead to fix serialization issue.
* Also change EmptyHashedRelation not to extend NullAwareHashedRelation since it's already being used in other non-NAAJ joins.

### Why are the changes needed?
It will cause BHJ failed when buildSide is Empty and BHJ(NAAJ) failed when buildSide with null partition keys.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
* Existing UT.
* Run entire TPCDS for E2E coverage.

Closes #29547 from leanken/leanken-SPARK-32705.

Authored-by: xuewei.linxuewei <xuewei.linxuewei@alibaba-inc.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2020-08-27 06:24:42 +00:00
..
catalyst [SPARK-32516][SQL][FOLLOWUP] 'path' option cannot coexist with path parameter for DataFrameWriter.save(), DataStreamReader.load() and DataStreamWriter.start() 2020-08-27 06:21:04 +00:00
core [SPARK-32705][SQL] Fix serialization issue for EmptyHashedRelation 2020-08-27 06:24:42 +00:00
hive [SPARK-20680][SQL][FOLLOW-UP] Add HiveVoidType in HiveClientImpl 2020-08-14 06:59:15 +00:00
hive-thriftserver Revert "[SPARK-32412][SQL] Unify error handling for spark thrift serv… 2020-08-25 05:57:14 +00:00
create-docs.sh [SPARK-31550][SQL][DOCS] Set nondeterministic configurations with general meanings in sql configuration doc 2020-04-27 17:08:52 +09:00
gen-sql-api-docs.py [SPARK-31474][SQL][FOLLOWUP] Replace _FUNC_ placeholder with functionname in the note field of expression info 2020-04-23 13:33:04 +09:00
gen-sql-config-docs.py [SPARK-31550][SQL][DOCS] Set nondeterministic configurations with general meanings in sql configuration doc 2020-04-27 17:08:52 +09:00
gen-sql-functions-docs.py [SPARK-31562][SQL] Update ExpressionDescription for substring, current_date, and current_timestamp 2020-04-26 11:46:52 -07:00
mkdocs.yml [SPARK-30731] Update deprecated Mkdocs option 2020-02-19 17:28:58 +09:00
README.md [SPARK-30510][SQL][DOCS] Publicly document Spark SQL configuration options 2020-02-09 19:20:47 +09:00

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.