spark-instrumented-optimizer/sql
jiangxingbo e2fb9fd365 [SPARK-18436][SQL] isin causing SQL syntax error with JDBC
## What changes were proposed in this pull request?

The expression `in(empty seq)` is invalid in some data source. Since `in(empty seq)` is always false, we should generate `in(empty seq)` to false literal in optimizer.
The sql `SELECT * FROM t WHERE a IN ()` throws a `ParseException` which is consistent with Hive, don't need to change that behavior.

## How was this patch tested?
Add new test case in `OptimizeInSuite`.

Author: jiangxingbo <jiangxb1987@gmail.com>

Closes #15977 from jiangxb1987/isin-empty.
2016-11-25 12:44:34 -08:00
..
catalyst [SPARK-18436][SQL] isin causing SQL syntax error with JDBC 2016-11-25 12:44:34 -08:00
core [SPARK-18436][SQL] isin causing SQL syntax error with JDBC 2016-11-25 12:44:34 -08:00
hive [SPARK-3359][BUILD][DOCS] More changes to resolve javadoc 8 errors that will help unidoc/genjavadoc compatibility 2016-11-25 11:27:07 +00:00
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

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.