spark-instrumented-optimizer/sql
LantaoJin 5079831106 [SPARK-31904][SQL] Fix case sensitive problem of char and varchar partition columns
### What changes were proposed in this pull request?
```sql
CREATE TABLE t1(a STRING, B VARCHAR(10), C CHAR(10)) STORED AS parquet;
CREATE TABLE t2 USING parquet PARTITIONED BY (b, c) AS SELECT * FROM t1;
SELECT * FROM t2 WHERE b = 'A';
```
Above SQL throws MetaException

> Caused by: java.lang.reflect.InvocationTargetException
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at org.apache.spark.sql.hive.client.Shim_v0_13.getPartitionsByFilter(HiveShim.scala:810)
	... 114 more
Caused by: MetaException(message:Filtering is supported only on partition keys of type string, or integral types)
	at org.apache.hadoop.hive.metastore.parser.ExpressionTree$FilterBuilder.setError(ExpressionTree.java:184)
	at org.apache.hadoop.hive.metastore.parser.ExpressionTree$LeafNode.getJdoFilterPushdownParam(ExpressionTree.java:439)
	at org.apache.hadoop.hive.metastore.parser.ExpressionTree$LeafNode.generateJDOFilterOverPartitions(ExpressionTree.java:356)
	at org.apache.hadoop.hive.metastore.parser.ExpressionTree$LeafNode.generateJDOFilter(ExpressionTree.java:278)
	at org.apache.hadoop.hive.metastore.parser.ExpressionTree.generateJDOFilterFragment(ExpressionTree.java:583)
	at org.apache.hadoop.hive.metastore.ObjectStore.makeQueryFilterString(ObjectStore.java:3315)
	at org.apache.hadoop.hive.metastore.ObjectStore.getPartitionsViaOrmFilter(ObjectStore.java:2768)
	at org.apache.hadoop.hive.metastore.ObjectStore.access$500(ObjectStore.java:182)
	at org.apache.hadoop.hive.metastore.ObjectStore$7.getJdoResult(ObjectStore.java:3248)
	at org.apache.hadoop.hive.metastore.ObjectStore$7.getJdoResult(ObjectStore.java:3232)
	at org.apache.hadoop.hive.metastore.ObjectStore$GetHelper.run(ObjectStore.java:2974)
	at org.apache.hadoop.hive.metastore.ObjectStore.getPartitionsByFilterInternal(ObjectStore.java:3250)
	at org.apache.hadoop.hive.metastore.ObjectStore.getPartitionsByFilter(ObjectStore.java:2906)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at org.apache.hadoop.hive.metastore.RawStoreProxy.invoke(RawStoreProxy.java:101)
	at com.sun.proxy.$Proxy25.getPartitionsByFilter(Unknown Source)
	at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.get_partitions_by_filter(HiveMetaStore.java:5093)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at org.apache.hadoop.hive.metastore.RetryingHMSHandler.invokeInternal(RetryingHMSHandler.java:148)
	at org.apache.hadoop.hive.metastore.RetryingHMSHandler.invoke(RetryingHMSHandler.java:107)
	at com.sun.proxy.$Proxy26.get_partitions_by_filter(Unknown Source)
	at org.apache.hadoop.hive.metastore.HiveMetaStoreClient.listPartitionsByFilter(HiveMetaStoreClient.java:1232)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.invoke(RetryingMetaStoreClient.java:173)
	at com.sun.proxy.$Proxy27.listPartitionsByFilter(Unknown Source)
	at org.apache.hadoop.hive.ql.metadata.Hive.getPartitionsByFilter(Hive.java:2679)
	... 119 more

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

### How was this patch tested?
Add a unit test.

Closes #28724 from LantaoJin/SPARK-31904.

Authored-by: LantaoJin <jinlantao@gmail.com>
Signed-off-by: Takeshi Yamamuro <yamamuro@apache.org>
2020-06-06 07:35:25 +09:00
..
catalyst [SPARK-31867][SQL][FOLLOWUP] Check result differences for datetime formatting 2020-06-05 16:44:16 +00:00
core [SPARK-31879][SQL][TEST-JAVA11] Make week-based pattern invalid for formatting too 2020-06-05 08:14:01 +00:00
hive [SPARK-31904][SQL] Fix case sensitive problem of char and varchar partition columns 2020-06-06 07:35:25 +09:00
hive-thriftserver [SPARK-31910][SQL] Enable Java 8 time API in Thrift server 2020-06-05 14:18:16 +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

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.