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angerszhu 54d3f6e7ec [SPARK-28982][SQL] Implementation Spark's own GetTypeInfoOperation 
### What changes were proposed in this pull request?
 Current Spark Thrift Server return TypeInfo includes
1.  INTERVAL_YEAR_MONTH
2. INTERVAL_DAY_TIME
3. UNION
4. USER_DEFINED

Spark doesn't support INTERVAL_YEAR_MONTH, INTERVAL_YEAR_MONTH, UNION
and won't return USER)DEFINED type.
This PR overwrite GetTypeInfoOperation with SparkGetTypeInfoOperation to exclude types which we don't need.

In hive-1.2.1 Type class is `org.apache.hive.service.cli.Type`
In hive-2.3.x Type class is `org.apache.hadoop.hive.serde2.thrift.Type`

Use ThrifrserverShimUtils to fit version problem and exclude types we don't need

### Why are the changes needed?

We should return type info of Spark's own type info

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

### How was this patch tested?
Manuel test & Added UT

Closes #25694 from AngersZhuuuu/SPARK-28982.

Lead-authored-by: angerszhu <angers.zhu@gmail.com>
Co-authored-by: AngersZhuuuu <angers.zhu@gmail.com>
Signed-off-by: Yuming Wang <wgyumg@gmail.com>
2019-09-10 09:22:50 -07:00
..
catalyst [SPARK-28856][SQL] Implement SHOW DATABASES for Data Source V2 Tables 2019-09-10 21:23:57 +08:00
core [SPARK-28856][SQL] Implement SHOW DATABASES for Data Source V2 Tables 2019-09-10 21:23:57 +08:00
hive [SPARK-28980][CORE][SQL][STREAMING][MLLIB] Remove most items deprecated in Spark 2.2.0 or earlier, for Spark 3 2019-09-09 10:19:40 -05:00
hive-thriftserver [SPARK-28982][SQL] Implementation Spark's own GetTypeInfoOperation 2019-09-10 09:22:50 -07:00
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-28980][CORE][SQL][STREAMING][MLLIB] Remove most items deprecated in Spark 2.2.0 or earlier, for Spark 3 2019-09-09 10:19:40 -05:00

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.