spark-instrumented-optimizer/sql
xy_xin 655356e825 [SPARK-28892][SQL] support UPDATE in the parser and add the corresponding logical plan
### What changes were proposed in this pull request?

This PR supports UPDATE in the parser and add the corresponding logical plan. The SQL syntax is a standard UPDATE statement:
```
UPDATE tableName tableAlias SET colName=value [, colName=value]+ WHERE predicate?
```

### Why are the changes needed?

With this change, we can start to implement UPDATE in builtin sources and think about how to design the update API in DS v2.

### Does this PR introduce any user-facing change?

No.

### How was this patch tested?

New test cases added.

Closes #25626 from xianyinxin/SPARK-28892.

Authored-by: xy_xin <xianyin.xxy@alibaba-inc.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2019-09-23 19:25:56 +08:00
..
catalyst [SPARK-28892][SQL] support UPDATE in the parser and add the corresponding logical plan 2019-09-23 19:25:56 +08:00
core [SPARK-28892][SQL] support UPDATE in the parser and add the corresponding logical plan 2019-09-23 19:25:56 +08:00
hive [SPARK-29140][SQL] Handle parameters having "array" of javaType properly in splitAggregateExpressions 2019-09-21 16:29:23 +09:00
hive-thriftserver [SPARK-28599][SQL] Fix Execution Time and Duration column sorting for ThriftServerSessionPage 2019-09-22 14:12:06 -07:00
create-docs.sh
gen-sql-markdown.py [SPARK-27328][SQL] Add 'deprecated' in ExpressionDescription for extended usage and SQL doc 2019-04-09 13:49:42 +08:00
mkdocs.yml [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00
README.md [SPARK-28980][CORE][SQL][STREAMING][MLLIB] Remove most items deprecated in Spark 2.2.0 or earlier, for Spark 3 2019-09-09 10:19:40 -05:00

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 extensions that allow users to write queries using a subset of HiveQL and access data from a Hive Metastore using Hive SerDes. There are also wrappers that allow 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.

Running ./sql/create-docs.sh generates SQL documentation for built-in functions under sql/site.