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Yuming Wang 9f558601e8 [SPARK-24937][SQL] Datasource partition table should load empty static partitions 
## What changes were proposed in this pull request?

How to reproduce:
```sql
spark-sql> CREATE TABLE tbl AS SELECT 1;
spark-sql> CREATE TABLE tbl1 (c1 BIGINT, day STRING, hour STRING)
         > USING parquet
         > PARTITIONED BY (day, hour);
spark-sql> INSERT INTO TABLE tbl1 PARTITION (day = '2018-07-25', hour='01') SELECT * FROM tbl where 1=0;
spark-sql> SHOW PARTITIONS tbl1;
spark-sql> CREATE TABLE tbl2 (c1 BIGINT)
         > PARTITIONED BY (day STRING, hour STRING);
spark-sql> INSERT INTO TABLE tbl2 PARTITION (day = '2018-07-25', hour='01') SELECT * FROM tbl where 1=0;
spark-sql> SHOW PARTITIONS tbl2;
day=2018-07-25/hour=01
spark-sql>
```
1. Users will be confused about whether the partition data of `tbl1` is generated.
2. Inconsistent with Hive table behavior.

This pr fix this issues.

## How was this patch tested?

unit tests

Author: Yuming Wang <yumwang@ebay.com>

Closes #21883 from wangyum/SPARK-24937.
2018-08-01 13:58:29 -07:00
..
catalyst [SPARK-23915][SQL] Add array_except function 2018-08-02 02:52:30 +08:00
core [SPARK-24937][SQL] Datasource partition table should load empty static partitions 2018-08-01 13:58:29 -07:00
hive [SPARK-24957][SQL] Average with decimal followed by aggregation returns wrong result 2018-07-30 20:53:45 +08:00
hive-thriftserver [SPARK-24829][STS] In Spark Thrift Server, CAST AS FLOAT inconsistent with spark-shell or spark-sql 2018-07-27 13:27:17 +08:00
create-docs.sh [MINOR][DOCS] Minor doc fixes related with doc build and uses script dir in SQL doc gen script 2017-08-26 13:56:24 +09:00
gen-sql-markdown.py [SPARK-21485][FOLLOWUP][SQL][DOCS] Describes examples and arguments separately, and note/since in SQL built-in function documentation 2017-08-05 10:10:56 -07:00
mkdocs.yml [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00
README.md [MINOR][DOC] Fix some typos and grammar issues 2018-04-06 13:37:08 +08:00

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.