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Wenchen Fan 4329c5cea4 [SPARK-17873][SQL] ALTER TABLE RENAME TO should allow users to specify database in destination table name(but have to be same as source table) 
## What changes were proposed in this pull request?

Unlike Hive, in Spark SQL, ALTER TABLE RENAME TO cannot move a table from one database to another(e.g. `ALTER TABLE db1.tbl RENAME TO db2.tbl2`), and will report error if the database in source table and destination table is different. So in #14955 , we forbid users to specify database of destination table in ALTER TABLE RENAME TO, to be consistent with other database systems and also make it easier to rename tables in non-current database, e.g. users can write `ALTER TABLE db1.tbl RENAME TO tbl2`, instead of `ALTER TABLE db1.tbl RENAME TO db1.tbl2`.

However, this is a breaking change. Users may already have queries that specify database of destination table in ALTER TABLE RENAME TO.

This PR reverts most of #14955 , and simplify the usage of ALTER TABLE RENAME TO by making database of source table the default database of destination table, instead of current database, so that users can still write `ALTER TABLE db1.tbl RENAME TO tbl2`, which is consistent with other databases like MySQL, Postgres, etc.

## How was this patch tested?

The added back tests and some new tests.

Author: Wenchen Fan <wenchen@databricks.com>

Closes #15434 from cloud-fan/revert.
2016-10-18 20:23:13 -07:00
..
catalyst [SPARK-17873][SQL] ALTER TABLE RENAME TO should allow users to specify database in destination table name(but have to be same as source table) 2016-10-18 20:23:13 -07:00
core [SPARK-17873][SQL] ALTER TABLE RENAME TO should allow users to specify database in destination table name(but have to be same as source table) 2016-10-18 20:23:13 -07:00
hive [SPARK-17980][SQL] Fix refreshByPath for converted Hive tables 2016-10-19 10:20:12 +08:00
hive-thriftserver [SPARK-17819][SQL] Support default database in connection URIs for Spark Thrift Server 2016-10-16 20:15:32 -07:00
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.