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Yuming Wang 58cc0df59e [SPARK-28685][SQL][TEST] Test HMS 2.0.0+ in VersionsSuite/HiveClientSuites on JDK 11 
## What changes were proposed in this pull request?

It seems Datanucleus 3.x can not support JDK 11:
```java
[info]   Cause: org.datanucleus.exceptions.NucleusException: The java type java.lang.Long (jdbc-type="", sql-type="") cant be mapped for this datastore. No mapping is available.
[info]   at org.datanucleus.store.rdbms.mapping.RDBMSMappingManager.getDatastoreMappingClass(RDBMSMappingManager.java:1215)
[info]   at org.datanucleus.store.rdbms.mapping.RDBMSMappingManager.createDatastoreMapping(RDBMSMappingManager.java:1378)
[info]   at org.datanucleus.store.rdbms.table.AbstractClassTable.addDatastoreId(AbstractClassTable.java:392)
[info]   at org.datanucleus.store.rdbms.table.ClassTable.initializePK(ClassTable.java:1087)
[info]   at org.datanucleus.store.rdbms.table.ClassTable.preInitialize(ClassTable.java:247)
```

Hive upgrade Datanucleus to 4.x from Hive 2.0([HIVE-6113](https://issues.apache.org/jira/browse/HIVE-6113)). This PR makes it skip `0.12`, `0.13`, `0.14`, `1.0`, `1.1` and `1.2` when testing with JDK 11.

Note that, this pr will not fix sql read hive materialized view. It's another issue:
```
3.0: sql read hive materialized view *** FAILED *** (1 second, 521 milliseconds)
3.1: sql read hive materialized view *** FAILED *** (1 second, 536 milliseconds)
```

## How was this patch tested?

manual tests:
```shell
export JAVA_HOME="/usr/lib/jdk-11.0.3"
build/sbt "hive/test-only *.VersionsSuite *.HiveClientSuites" -Phive -Phadoop-3.2
```

Closes #25405 from wangyum/SPARK-28685.

Authored-by: Yuming Wang <yumwang@ebay.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2019-08-10 17:01:15 -07:00
..
catalyst [SPARK-28675][SQL] Remove maskCredentials and use redactOptions 2019-08-10 16:45:59 -07:00
core [SPARK-28675][SQL] Remove maskCredentials and use redactOptions 2019-08-10 16:45:59 -07:00
hive [SPARK-28685][SQL][TEST] Test HMS 2.0.0+ in VersionsSuite/HiveClientSuites on JDK 11 2019-08-10 17:01:15 -07:00
hive-thriftserver [SPARK-28644][SQL] Port HIVE-10646: ColumnValue does not handle NULL_TYPE 2019-08-08 17:28:10 +09:00
create-docs.sh
gen-sql-markdown.py [SPARK-27328][SQL] Add 'deprecated' in ExpressionDescription for extended usage and SQL doc 2019-04-09 13:49:42 +08:00
mkdocs.yml
README.md [SPARK-28473][DOC] Stylistic consistency of build command in README 2019-07-23 16:29:46 -07:00

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 an extension of SQLContext called HiveContext that allows 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.