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John Zhuge cae500a255 [SPARK-28178][SQL][FOLLOWUP] DataSourceV2: DataFrameWriter.insertInfo 
## What changes were proposed in this pull request?

- DataFrameWriter.insertInto should match column names by position.
- Clean up test cases.

## How was this patch tested?

New tests:
- insertInto: append by position
- insertInto: overwrite partitioned table in static mode by position
- insertInto: overwrite partitioned table in dynamic mode by position

Closes #25353 from jzhuge/SPARK-28178-bypos.

Authored-by: John Zhuge <jzhuge@apache.org>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2019-08-05 16:05:23 +08:00
..
catalyst [SPARK-27661][SQL] Add SupportsNamespaces API 2019-08-04 21:29:40 -07:00
core [SPARK-28178][SQL][FOLLOWUP] DataSourceV2: DataFrameWriter.insertInfo 2019-08-05 16:05:23 +08:00
hive [SPARK-25474][SQL] Support spark.sql.statistics.fallBackToHdfs in data source tables 2019-07-28 15:35:37 -07:00
hive-thriftserver [SPARK-28510][SQL] Implement Spark's own GetFunctionsOperation 2019-08-02 08:50:42 -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
README.md [SPARK-28473][DOC] Stylistic consistency of build command in README 2019-07-23 16:29:46 -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 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.