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Adrian Ionescu 589f3edb82 [SPARK-20255] Move listLeafFiles() to InMemoryFileIndex 
## What changes were proposed in this pull request

Trying to get a grip on the `FileIndex` hierarchy, I was confused by the following inconsistency:

On the one hand, `PartitioningAwareFileIndex` defines `leafFiles` and `leafDirToChildrenFiles` as abstract, but on the other it fully implements `listLeafFiles` which does all the listing of files. However, the latter is only used by `InMemoryFileIndex`.

I'm hereby proposing to move this method (and all its dependencies) to the implementation class that actually uses it, and thus unclutter the `PartitioningAwareFileIndex` interface.

## How was this patch tested?

`./build/sbt sql/test`

Author: Adrian Ionescu <adrian@databricks.com>

Closes #17570 from adrian-ionescu/list-leaf-files.
2017-04-07 14:00:23 -07:00
..
catalyst [SPARK-20245][SQL][MINOR] pass output to LogicalRelation directly 2017-04-07 15:58:50 +08:00
core [SPARK-20255] Move listLeafFiles() to InMemoryFileIndex 2017-04-07 14:00:23 -07:00
hive [SPARK-20245][SQL][MINOR] pass output to LogicalRelation directly 2017-04-07 15:58:50 +08:00
hive-thriftserver [SPARK-20173][SQL][HIVE-THRIFTSERVER] Throw NullPointerException when HiveThriftServer2 is shutdown 2017-04-02 15:39:51 +01:00
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.