ODIn/spark-instrumented-optimizer
1
0
Fork 0
Code Issues Pull requests Projects Releases Wiki Activity
spark-instrumented-optimizer/sql
History
Wenchen Fan 7d19b6ab7d [SPARK-18567][SQL] Simplify CreateDataSourceTableAsSelectCommand 
## What changes were proposed in this pull request?

The `CreateDataSourceTableAsSelectCommand` is quite complex now, as it has a lot of work to do if the table already exists:

1. throw exception if we don't want to ignore it.
2. do some check and adjust the schema if we want to append data.
3. drop the table and create it again if we want to overwrite.

The work 2 and 3 should be done by analyzer, so that we can also apply it to hive tables.

## How was this patch tested?

existing tests.

Author: Wenchen Fan <wenchen@databricks.com>

Closes #15996 from cloud-fan/append.
2016-12-28 21:50:21 -08:00
..
catalyst [SPARK-16213][SQL] Reduce runtime overhead of a program that creates an primitive array in DataFrame 2016-12-29 10:59:37 +08:00
core [SPARK-18567][SQL] Simplify CreateDataSourceTableAsSelectCommand 2016-12-28 21:50:21 -08:00
hive [SPARK-18567][SQL] Simplify CreateDataSourceTableAsSelectCommand 2016-12-28 21:50:21 -08:00
hive-thriftserver [SPARK-18992][SQL] Move spark.sql.hive.thriftServer.singleSession to SQLConf 2016-12-28 10:16:22 +08:00
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.