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Shixiong Zhu 6edfff055c [SPARK-21596][SS] Ensure places calling HDFSMetadataLog.get check the return value 
## What changes were proposed in this pull request?

When I was investigating a flaky test, I realized that many places don't check the return value of `HDFSMetadataLog.get(batchId: Long): Option[T]`. When a batch is supposed to be there, the caller just ignores None rather than throwing an error. If some bug causes a query doesn't generate a batch metadata file, this behavior will hide it and allow the query continuing to run and finally delete metadata logs and make it hard to debug.

This PR ensures that places calling HDFSMetadataLog.get always check the return value.

## How was this patch tested?

Jenkins

Author: Shixiong Zhu <shixiong@databricks.com>

Closes #18799 from zsxwing/SPARK-21596.
2017-08-08 20:20:26 -07:00
..
catalyst [SPARK-21567][SQL] Dataset should work with type alias 2017-08-08 16:12:41 +08:00
core [SPARK-21596][SS] Ensure places calling HDFSMetadataLog.get check the return value 2017-08-08 20:20:26 -07:00
hive [MINOR][BUILD] Remove duplicate test-jar:test spark-sql dependency from Hive module 2017-08-06 16:48:49 -07:00
hive-thriftserver [SPARK-21637][SPARK-21451][SQL] get spark.hadoop.* properties from sysProps to hiveconf 2017-08-05 17:30:47 -07:00
create-docs.sh [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00
gen-sql-markdown.py [SPARK-21485][FOLLOWUP][SQL][DOCS] Describes examples and arguments separately, and note/since in SQL built-in function documentation 2017-08-05 10:10:56 -07:00
mkdocs.yml [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00
README.md [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -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.

Running sql/create-docs.sh generates SQL documentation for built-in functions under sql/site.