spark-instrumented-optimizer/sql
Wenchen Fan 0b903caef3 [SPARK-19949][SQL][FOLLOW-UP] move FailureSafeParser from catalyst to sql core
## What changes were proposed in this pull request?

The `FailureSafeParser` is only used in sql core, it doesn't make sense to put it in catalyst module.

## How was this patch tested?

N/A

Author: Wenchen Fan <wenchen@databricks.com>

Closes #17408 from cloud-fan/minor.
2017-03-25 11:46:54 -07:00
..
catalyst [SPARK-19949][SQL][FOLLOW-UP] move FailureSafeParser from catalyst to sql core 2017-03-25 11:46:54 -07:00
core [SPARK-19949][SQL][FOLLOW-UP] move FailureSafeParser from catalyst to sql core 2017-03-25 11:46:54 -07:00
hive [SPARK-19970][SQL][FOLLOW-UP] Table owner should be USER instead of PRINCIPAL in kerberized clusters #17311 2017-03-24 14:42:33 +08:00
hive-thriftserver [SPARK-19673][SQL] "ThriftServer default app name is changed wrong" 2017-02-25 21:47:02 +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.