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## What changes were proposed in this pull request? This PR proposes corrections related to JSON APIs as below: - Rendering links in Python documentation - Replacing `RDD` to `Dataset` in programing guide - Adding missing description about JSON Lines consistently in `DataFrameReader.json` in Python API - De-duplicating little bit of `DataFrameReader.json` in Scala/Java API ## How was this patch tested? Manually build the documentation via `jekyll build`. Corresponding snapstops will be left on the codes. Note that currently there are Javadoc8 breaks in several places. These are proposed to be handled in https://github.com/apache/spark/pull/17477. So, this PR does not fix those. Author: hyukjinkwon <gurwls223@gmail.com> Closes #17602 from HyukjinKwon/minor-json-documentation. |
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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.