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Bogdan Raducanu authored
## What changes were proposed in this pull request?

SQL hint syntax:
* support expressions such as strings, numbers, etc. instead of only identifiers as it is currently.
* support multiple hints, which was missing compared to the DataFrame syntax.

DataFrame API:
* support any parameters in DataFrame.hint instead of just strings

## How was this patch tested?
Existing tests. New tests in PlanParserSuite. New suite DataFrameHintSuite.

Author: Bogdan Raducanu <bogdan@databricks.com>

Closes #18086 from bogdanrdc/SPARK-20854.
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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 allows 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.