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Liang-Chi Hsieh 70987d8144 [SPARK-29680][SQL][FOLLOWUP] Replace qualifiedName with multipartIdentifier 
### What changes were proposed in this pull request?

Replace qualifiedName with multipartIdentifier in parser rules of DDL commands.

### Why are the changes needed?

There are identifiers in some DDL rules we use `qualifiedName`. We should use `multipartIdentifier` because it can capture wrong identifiers such as `test-table`, `test-col`.

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

Yes. Wrong identifiers such as test-table, will be captured now after this change.

### How was this patch tested?

Unit tests.

Closes #26419 from viirya/SPARK-29680-followup2.

Lead-authored-by: Liang-Chi Hsieh <viirya@gmail.com>
Co-authored-by: Liang-Chi Hsieh <liangchi@uber.com>
Signed-off-by: Liang-Chi Hsieh <liangchi@uber.com>
2019-11-08 14:18:06 -08:00
..
catalyst [SPARK-29680][SQL][FOLLOWUP] Replace qualifiedName with multipartIdentifier 2019-11-08 14:18:06 -08:00
core [SPARK-29680][SQL][FOLLOWUP] Replace qualifiedName with multipartIdentifier 2019-11-08 14:18:06 -08:00
hive [SPARK-29796][SQL][TESTS] HiveExternalCatalogVersionsSuite should ignore preview release 2019-11-07 10:28:32 -08:00
hive-thriftserver [SPARK-29761][SQL] do not output leading 'interval' in CalendarInterval.toString 2019-11-07 15:44:50 +08:00
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-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

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 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.