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hyukjinkwon d556b31703 [SPARK-18699][SQL][FOLLOWUP] Add explanation in CSV parser and minor cleanup 
## What changes were proposed in this pull request?

This PR suggests adding some comments in `UnivocityParser` logics to explain what happens. Also, it proposes, IMHO, a little bit cleaner (at least easy for me to explain).

## How was this patch tested?

Unit tests in `CSVSuite`.

Author: hyukjinkwon <gurwls223@gmail.com>

Closes #17142 from HyukjinKwon/SPARK-18699.
2017-03-03 00:50:58 -08:00
..
catalyst [SPARK-19766][SQL] Constant alias columns in INNER JOIN should not be folded by FoldablePropagation rule 2017-03-01 07:52:35 -08:00
core [SPARK-18699][SQL][FOLLOWUP] Add explanation in CSV parser and minor cleanup 2017-03-03 00:50:58 -08:00
hive [SPARK-18726][SQL] resolveRelation for FileFormat DataSource don't need to listFiles twice 2017-03-02 23:54:01 -08:00
hive-thriftserver [SPARK-19673][SQL] "ThriftServer default app name is changed wrong" 2017-02-25 21:47:02 +00:00
README.md [SPARK-16557][SQL] Remove stale doc in sql/README.md 2016-07-14 19:24:42 -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 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.