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jerryshao a6aade0042 [SPARK-15698][SQL][STREAMING] Add the ability to remove the old MetadataLog in FileStreamSource 
## What changes were proposed in this pull request?

Current `metadataLog` in `FileStreamSource` will add a checkpoint file in each batch but do not have the ability to remove/compact, which will lead to large number of small files when running for a long time. So here propose to compact the old logs into one file. This method is quite similar to `FileStreamSinkLog` but simpler.

## How was this patch tested?

Unit test added.

Author: jerryshao <sshao@hortonworks.com>

Closes #13513 from jerryshao/SPARK-15698.
2016-09-20 10:24:12 -07:00
..
catalyst [SPARK-17502][SQL] Fix Multiple Bugs in DDL Statements on Temporary Views 2016-09-20 20:11:48 +08:00
core [SPARK-15698][SQL][STREAMING] Add the ability to remove the old MetadataLog in FileStreamSource 2016-09-20 10:24:12 -07:00
hive [SPARK-17051][SQL] we should use hadoopConf in InsertIntoHiveTable 2016-09-20 09:53:28 -07:00
hive-thriftserver [SPARK-17190][SQL] Removal of HiveSharedState 2016-08-25 12:50:03 +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.