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Kent Yao f14f3742e0 [SPARK-32696][SQL][TEST-HIVE1.2][TEST-HADOOP2.7] Get columns operation should handle interval column properly 
### What changes were proposed in this pull request?

This PR let JDBC clients identify spark interval columns properly.

### Why are the changes needed?

JDBC users can query interval values through thrift server, create views with interval columns, e.g.
```sql
CREATE global temp view view1 as select interval 1 day as i;
```
but when they want to get the details of the columns of view1, the will fail with `Unrecognized type name: INTERVAL`

```
Caused by: java.lang.IllegalArgumentException: Unrecognized type name: INTERVAL
	at org.apache.hadoop.hive.serde2.thrift.Type.getType(Type.java:170)
	at org.apache.spark.sql.hive.thriftserver.ThriftserverShimUtils$.toJavaSQLType(ThriftserverShimUtils.scala:53)
	at org.apache.spark.sql.hive.thriftserver.SparkGetColumnsOperation.$anonfun$addToRowSet$1(SparkGetColumnsOperation.scala:157)
	at scala.collection.Iterator.foreach(Iterator.scala:941)
	at scala.collection.Iterator.foreach$(Iterator.scala:941)
	at scala.collection.AbstractIterator.foreach(Iterator.scala:1429)
	at scala.collection.IterableLike.foreach(IterableLike.scala:74)
	at scala.collection.IterableLike.foreach$(IterableLike.scala:73)
	at org.apache.spark.sql.types.StructType.foreach(StructType.scala:102)
	at org.apache.spark.sql.hive.thriftserver.SparkGetColumnsOperation.addToRowSet(SparkGetColumnsOperation.scala:149)
	at org.apache.spark.sql.hive.thriftserver.SparkGetColumnsOperation.$anonfun$runInternal$6(SparkGetColumnsOperation.scala:113)
	at org.apache.spark.sql.hive.thriftserver.SparkGetColumnsOperation.$anonfun$runInternal$6$adapted(SparkGetColumnsOperation.scala:112)
	at scala.Option.foreach(Option.scala:407)
	at org.apache.spark.sql.hive.thriftserver.SparkGetColumnsOperation.$anonfun$runInternal$5(SparkGetColumnsOperation.scala:112)
	at org.apache.spark.sql.hive.thriftserver.SparkGetColumnsOperation.$anonfun$runInternal$5$adapted(SparkGetColumnsOperation.scala:111)
	at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
	at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
	at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
	at org.apache.spark.sql.hive.thriftserver.SparkGetColumnsOperation.runInternal(SparkGetColumnsOperation.scala:111)
	... 34 more
```
### Does this PR introduce _any_ user-facing change?

YES,
#### before
![image](https://user-images.githubusercontent.com/8326978/91162239-6cd1ec80-e6fe-11ea-8c2c-914ddb325c4e.png)

#### after
![image](https://user-images.githubusercontent.com/8326978/91162025-1a90cb80-e6fe-11ea-94c4-03a6f2ec296b.png)

### How was this patch tested?

new tests

Closes #29539 from yaooqinn/SPARK-32696.

Authored-by: Kent Yao <yaooqinn@hotmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2020-08-27 06:52:34 +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 [SPARK-32696][SQL][TEST-HIVE1.2][TEST-HADOOP2.7] Get columns operation should handle interval column properly 2020-08-27 06:52:34 +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.