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Wenchen Fan f8f7c52f12 [SPARK-28899][SQL][TEST] merge the testing in-memory v2 catalogs from catalyst and core 
### What changes were proposed in this pull request?

There are 2 in-memory `TableCatalog` and `Table` implementations for testing, in sql/catalyst and sql/core. This PR merges them.

After merging, there are 3 classes:
1. `InMemoryTable`
2. `InMemoryTableCatalog`
3. `StagingInMemoryTableCatalog`

For better maintainability, these 3 classes are put in 3 different files.

### Why are the changes needed?

reduce duplicated code

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

no
### How was this patch tested?

N/A

Closes #25610 from cloud-fan/dsv2-test.

Authored-by: Wenchen Fan <wenchen@databricks.com>
Signed-off-by: Ryan Blue <blue@apache.org>
2019-08-29 12:56:19 -07:00
..
catalyst [SPARK-28899][SQL][TEST] merge the testing in-memory v2 catalogs from catalyst and core 2019-08-29 12:56:19 -07:00
core [SPARK-28899][SQL][TEST] merge the testing in-memory v2 catalogs from catalyst and core 2019-08-29 12:56:19 -07:00
hive [SPARK-28890][SQL] Upgrade Hive Metastore Client to the 3.1.2 for Hive 3.1 2019-08-28 09:16:54 -07:00
hive-thriftserver [SPARK-28527][SQL][TEST][FOLLOW-UP] Ignores Thrift server ThriftServerQueryTestSuite 2019-08-27 15:41:22 +09:00
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.