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Xiao Li 2a780ac7fe [MINOR][SQL] Update the description of spark.sql.files.ignoreCorruptFiles and spark.sql.columnNameOfCorruptRecord 
### What changes were proposed in this pull request?
1. The description of `spark.sql.files.ignoreCorruptFiles` is not accurate. When the file does not exist, we will issue the error message.
```
org.apache.spark.sql.AnalysisException: Path does not exist: file:/nonexist/path;
```

2. `spark.sql.columnNameOfCorruptRecord` also affects the CSV format. The current description only mentions JSON format.

### How was this patch tested?
N/A

Author: Xiao Li <gatorsmile@gmail.com>

Closes #18184 from gatorsmile/updateMessage.
2017-06-02 12:58:29 -07:00
..
catalyst [MINOR][SQL] Update the description of spark.sql.files.ignoreCorruptFiles and spark.sql.columnNameOfCorruptRecord 2017-06-02 12:58:29 -07:00
core [SPARK-20946][SQL] simplify the config setting logic in SparkSession.getOrCreate 2017-06-02 10:05:05 -07:00
hive Revert "[SPARK-20392][SQL] Set barrier to prevent re-entering a tree" 2017-05-30 21:14:55 -07:00
hive-thriftserver [SPARK-20213][SQL] Fix DataFrameWriter operations in SQL UI tab 2017-05-30 20:12:32 -07:00
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.