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Dongjoon Hyun 3ce057d001 [SPARK-17732][SQL] ALTER TABLE DROP PARTITION should support comparators 
## What changes were proposed in this pull request?

This PR aims to support `comparators`, e.g. '<', '<=', '>', '>=', again in Apache Spark 2.0 for backward compatibility.

**Spark 1.6**

``` scala
scala> sql("CREATE TABLE sales(id INT) PARTITIONED BY (country STRING, quarter STRING)")
res0: org.apache.spark.sql.DataFrame = [result: string]

scala> sql("ALTER TABLE sales DROP PARTITION (country < 'KR')")
res1: org.apache.spark.sql.DataFrame = [result: string]
```

**Spark 2.0**

``` scala
scala> sql("CREATE TABLE sales(id INT) PARTITIONED BY (country STRING, quarter STRING)")
res0: org.apache.spark.sql.DataFrame = []

scala> sql("ALTER TABLE sales DROP PARTITION (country < 'KR')")
org.apache.spark.sql.catalyst.parser.ParseException:
mismatched input '<' expecting {')', ','}(line 1, pos 42)
```

After this PR, it's supported.

## How was this patch tested?

Pass the Jenkins test with a newly added testcase.

Author: Dongjoon Hyun <dongjoon@apache.org>

Closes #15704 from dongjoon-hyun/SPARK-17732-2.
2016-11-15 15:59:04 -08:00
..
catalyst [SPARK-17732][SQL] ALTER TABLE DROP PARTITION should support comparators 2016-11-15 15:59:04 -08:00
core [SPARK-17732][SQL] ALTER TABLE DROP PARTITION should support comparators 2016-11-15 15:59:04 -08:00
hive [SPARK-17732][SQL] ALTER TABLE DROP PARTITION should support comparators 2016-11-15 15:59:04 -08:00
hive-thriftserver [SPARK-14914][CORE] Fix Resource not closed after using, for unit tests and example 2016-11-10 10:54:36 +00:00
README.md [SPARK-16557][SQL] Remove stale doc in sql/README.md 2016-07-14 19:24:42 -07:00

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 allows 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.