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Wenchen Fan d6eede9a36 [SPARK-17238][SQL] simplify the logic for converting data source table into hive compatible format 
## What changes were proposed in this pull request?

Previously we have 2 conditions to decide whether a data source table is hive-compatible:

1. the data source is file-based and has a corresponding Hive serde
2. have a `path` entry in data source options/storage properties

However, if condition 1 is true, condition 2 must be true too, as we will put the default table path into data source options/storage properties for managed data source tables.

There is also a potential issue: we will set the `locationUri` even for managed table.

This PR removes the condition 2 and only set the `locationUri` for external data source tables.

Note: this is also a first step to unify the `path` of data source tables and `locationUri` of hive serde tables. For hive serde tables, `locationUri` is only set for external table. For data source tables, `path` is always set. We can make them consistent after this PR.

## How was this patch tested?

existing tests

Author: Wenchen Fan <wenchen@databricks.com>

Closes #14809 from cloud-fan/minor2.
2016-09-07 09:36:53 +08:00
..
catalyst [SPARK-17296][SQL] Simplify parser join processing. 2016-09-07 00:44:07 +02:00
core [SPARK-16922] [SPARK-17211] [SQL] make the address of values portable in LongToUnsafeRowMap 2016-09-06 10:46:31 -07:00
hive [SPARK-17238][SQL] simplify the logic for converting data source table into hive compatible format 2016-09-07 09:36:53 +08:00
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.