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osatici 2014e7a789 [SPARK-22479][SQL] Exclude credentials from SaveintoDataSourceCommand.simpleString 
## What changes were proposed in this pull request?

Do not include jdbc properties which may contain credentials in logging a logical plan with `SaveIntoDataSourceCommand` in it.

## How was this patch tested?

building locally and trying to reproduce (per the steps in https://issues.apache.org/jira/browse/SPARK-22479):
```
== Parsed Logical Plan ==
SaveIntoDataSourceCommand org.apache.spark.sql.execution.datasources.jdbc.JdbcRelationProvider570127fa, Map(dbtable -> test20, driver -> org.postgresql.Driver, url -> *********(redacted), password -> *********(redacted)), ErrorIfExists
   +- Range (0, 100, step=1, splits=Some(8))

== Analyzed Logical Plan ==
SaveIntoDataSourceCommand org.apache.spark.sql.execution.datasources.jdbc.JdbcRelationProvider570127fa, Map(dbtable -> test20, driver -> org.postgresql.Driver, url -> *********(redacted), password -> *********(redacted)), ErrorIfExists
   +- Range (0, 100, step=1, splits=Some(8))

== Optimized Logical Plan ==
SaveIntoDataSourceCommand org.apache.spark.sql.execution.datasources.jdbc.JdbcRelationProvider570127fa, Map(dbtable -> test20, driver -> org.postgresql.Driver, url -> *********(redacted), password -> *********(redacted)), ErrorIfExists
   +- Range (0, 100, step=1, splits=Some(8))

== Physical Plan ==
Execute SaveIntoDataSourceCommand
   +- SaveIntoDataSourceCommand org.apache.spark.sql.execution.datasources.jdbc.JdbcRelationProvider570127fa, Map(dbtable -> test20, driver -> org.postgresql.Driver, url -> *********(redacted), password -> *********(redacted)), ErrorIfExists
         +- Range (0, 100, step=1, splits=Some(8))
```

Author: osatici <osatici@palantir.com>

Closes #19708 from onursatici/os/redact-jdbc-creds.
2017-11-15 14:08:51 -08:00
..
catalyst [SPARK-22469][SQL] Accuracy problem in comparison with string and numeric 2017-11-15 09:02:54 -08:00
core [SPARK-22479][SQL] Exclude credentials from SaveintoDataSourceCommand.simpleString 2017-11-15 14:08:51 -08:00
hive [SPARK-17074][SQL] Generate equi-height histogram in column statistics 2017-11-14 16:41:43 +01:00
hive-thriftserver [SPARK-22487][SQL][FOLLOWUP] still keep spark.sql.hive.version 2017-11-13 13:10:13 -08:00
create-docs.sh [MINOR][DOCS] Minor doc fixes related with doc build and uses script dir in SQL doc gen script 2017-08-26 13:56:24 +09:00
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.