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Burak Yavuz 9c7f83b028 [SPARK-18868][FLAKY-TEST] Deflake StreamingQueryListenerSuite: single listener, check trigger... 
## What changes were proposed in this pull request?

Use `recentProgress` instead of `lastProgress` and filter out last non-zero value. Also add eventually to the latest assertQuery similar to first `assertQuery`

## How was this patch tested?

Ran test 1000 times

Author: Burak Yavuz <brkyvz@gmail.com>

Closes #16287 from brkyvz/SPARK-18868.
2016-12-15 15:46:03 -08:00
..
catalyst [SPARK-18870] Disallowed Distinct Aggregations on Streaming Datasets 2016-12-15 11:54:35 -08:00
core [SPARK-18868][FLAKY-TEST] Deflake StreamingQueryListenerSuite: single listener, check trigger... 2016-12-15 15:46:03 -08:00
hive [SPARK-18703][SQL] Drop Staging Directories and Data Files After each Insertion/CTAS of Hive serde Tables 2016-12-15 09:23:55 +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.