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Yuchen Huo d0800fc8e2 [SPARK-30314] Add identifier and catalog information to DataSourceV2Relation 
### What changes were proposed in this pull request?

Add identifier and catalog information in DataSourceV2Relation so it would be possible to do richer checks in checkAnalysis step.

### Why are the changes needed?

In data source v2, table implementations are all customized so we may not be able to get the resolved identifier from tables them selves. Therefore we encode the table and catalog information in DSV2Relation so no external changes are needed to make sure this information is available.

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

No

### How was this patch tested?

Unit tests in the following suites:
CatalogManagerSuite.scala
CatalogV2UtilSuite.scala
SupportsCatalogOptionsSuite.scala
PlanResolutionSuite.scala

Closes #26957 from yuchenhuo/SPARK-30314.

Authored-by: Yuchen Huo <yuchen.huo@databricks.com>
Signed-off-by: Burak Yavuz <brkyvz@gmail.com>
2020-01-26 12:59:24 -08:00
..
catalyst [SPARK-30314] Add identifier and catalog information to DataSourceV2Relation 2020-01-26 12:59:24 -08:00
core [SPARK-30314] Add identifier and catalog information to DataSourceV2Relation 2020-01-26 12:59:24 -08:00
hive [SPARK-30535][SQL] Revert "[] Migrate ALTER TABLE commands to the new framework 2020-01-22 22:43:46 -08:00
hive-thriftserver [SPARK-30644][SQL][TEST] Remove query index from the golden files of SQLQueryTestSuite 2020-01-25 23:17:36 -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.