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gengjiaan 56bb8155c5 [SPARK-35085][SQL] Get columns operation should handle ANSI interval column properly 
### What changes were proposed in this pull request?
This PR let JDBC clients identify ANSI interval columns properly.

### Why are the changes needed?
This PR is similar to https://github.com/apache/spark/pull/29539.
JDBC users can query interval values through thrift server, create views with ansi interval columns, e.g.
`CREATE global temp view view1 as select interval '1-1' year to month as I;`
but when they want to get the details of the columns of view1, the will fail with `Unrecognized type name: YEAR-MONTH INTERVAL`
```
Caused by: java.lang.IllegalArgumentException: Unrecognized type name: YEAR-MONTH INTERVAL
	at org.apache.spark.sql.hive.thriftserver.SparkGetColumnsOperation.toJavaSQLType(SparkGetColumnsOperation.scala:190)
	at org.apache.spark.sql.hive.thriftserver.SparkGetColumnsOperation.$anonfun$addToRowSet$1(SparkGetColumnsOperation.scala:206)
	at scala.collection.immutable.List.foreach(List.scala:392)
	at org.apache.spark.sql.hive.thriftserver.SparkGetColumnsOperation.addToRowSet(SparkGetColumnsOperation.scala:198)
	at org.apache.spark.sql.hive.thriftserver.SparkGetColumnsOperation.$anonfun$runInternal$7(SparkGetColumnsOperation.scala:109)
	at org.apache.spark.sql.hive.thriftserver.SparkGetColumnsOperation.$anonfun$runInternal$7$adapted(SparkGetColumnsOperation.scala:109)
	at scala.Option.foreach(Option.scala:407)
	at org.apache.spark.sql.hive.thriftserver.SparkGetColumnsOperation.$anonfun$runInternal$5(SparkGetColumnsOperation.scala:109)
	at org.apache.spark.sql.hive.thriftserver.SparkGetColumnsOperation.$anonfun$runInternal$5$adapted(SparkGetColumnsOperation.scala:107)
	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:107)
	... 34 more
```

### Does this PR introduce _any_ user-facing change?
Yes. Let hive JDBC recognize ANSI interval.

### How was this patch tested?
Jenkins test.

Closes #32345 from beliefer/SPARK-35085.

Lead-authored-by: gengjiaan <gengjiaan@360.cn>
Co-authored-by: beliefer <beliefer@163.com>
Signed-off-by: Max Gekk <max.gekk@gmail.com>
2021-04-28 08:58:43 +03:00
..
catalyst [SPARK-35246][SS] Don't allow streaming-batch intersects 2021-04-28 10:47:11 +09:00
core [SPARK-34878][SQL][TESTS] Check actual sizes of year-month and day-time intervals 2021-04-28 07:48:49 +03:00
hive [SPARK-35236][SQL] Support archive files as resources for CREATE FUNCTION USING syntax 2021-04-28 10:15:21 +09:00
hive-thriftserver [SPARK-35085][SQL] Get columns operation should handle ANSI interval column properly 2021-04-28 08:58:43 +03:00
create-docs.sh [SPARK-34010][SQL][DODCS] Use python3 instead of python in SQL documentation build 2021-01-05 19:48:10 +09:00
gen-sql-api-docs.py [SPARK-34747][SQL][DOCS] Add virtual operators to the built-in function document 2021-03-19 10:19:26 +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.