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Reynold Xin 5f894d23a5 [SPARK-18760][SQL] Consistent format specification for FileFormats 
## What changes were proposed in this pull request?
This patch fixes the format specification in explain for file sources (Parquet and Text formats are the only two that are different from the rest):

Before:
```
scala> spark.read.text("test.text").explain()
== Physical Plan ==
*FileScan text [value#15] Batched: false, Format: org.apache.spark.sql.execution.datasources.text.TextFileFormatxyz, Location: InMemoryFileIndex[file:/scratch/rxin/spark/test.text], PartitionFilters: [], PushedFilters: [], ReadSchema: struct<value:string>
```

After:
```
scala> spark.read.text("test.text").explain()
== Physical Plan ==
*FileScan text [value#15] Batched: false, Format: Text, Location: InMemoryFileIndex[file:/scratch/rxin/spark/test.text], PartitionFilters: [], PushedFilters: [], ReadSchema: struct<value:string>
```

Also closes #14680.

## How was this patch tested?
Verified in spark-shell.

Author: Reynold Xin <rxin@databricks.com>

Closes #16187 from rxin/SPARK-18760.
2016-12-08 12:52:05 -08:00
..
catalyst [SPARK-18654][SQL] Remove unreachable patterns in makeRootConverter 2016-12-07 16:52:05 -08:00
core [SPARK-18760][SQL] Consistent format specification for FileFormats 2016-12-08 12:52:05 -08:00
hive [SPARK-18572][SQL] Add a method listPartitionNames to ExternalCatalog 2016-12-06 11:33:35 +08:00
hive-thriftserver [SPARK-18695] Bump master branch version to 2.2.0-SNAPSHOT 2016-12-02 21:09:37 -08:00
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.