a4aa4665a6
## What changes were proposed in this pull request? Changed `TreeNode.argString` to handle `CatalogTable` separately (otherwise it would call the default `toString` on the `CatalogTable`) ## How was this patch tested? - Expanded scope of existing unit test to ensure that verbose information is not present - Manual testing Before ``` scala> hc.sql(" SELECT * FROM my_table WHERE name = 'foo' ").explain(true) == Parsed Logical Plan == 'Project [*] +- 'Filter ('name = foo) +- 'UnresolvedRelation `my_table` == Analyzed Logical Plan == user_id: bigint, name: string, ds: string Project [user_id#13L, name#14, ds#15] +- Filter (name#14 = foo) +- SubqueryAlias my_table +- CatalogRelation CatalogTable( Database: default Table: my_table Owner: tejasp Created: Fri Apr 14 17:05:50 PDT 2017 Last Access: Wed Dec 31 16:00:00 PST 1969 Type: MANAGED Provider: hive Properties: [serialization.format=1] Statistics: 9223372036854775807 bytes Location: file:/tmp/warehouse/my_table Serde Library: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe InputFormat: org.apache.hadoop.mapred.TextInputFormat OutputFormat: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat Partition Provider: Catalog Partition Columns: [`ds`] Schema: root -- user_id: long (nullable = true) -- name: string (nullable = true) -- ds: string (nullable = true) ), [user_id#13L, name#14], [ds#15] == Optimized Logical Plan == Filter (isnotnull(name#14) && (name#14 = foo)) +- CatalogRelation CatalogTable( Database: default Table: my_table Owner: tejasp Created: Fri Apr 14 17:05:50 PDT 2017 Last Access: Wed Dec 31 16:00:00 PST 1969 Type: MANAGED Provider: hive Properties: [serialization.format=1] Statistics: 9223372036854775807 bytes Location: file:/tmp/warehouse/my_table Serde Library: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe InputFormat: org.apache.hadoop.mapred.TextInputFormat OutputFormat: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat Partition Provider: Catalog Partition Columns: [`ds`] Schema: root -- user_id: long (nullable = true) -- name: string (nullable = true) -- ds: string (nullable = true) ), [user_id#13L, name#14], [ds#15] == Physical Plan == *Filter (isnotnull(name#14) && (name#14 = foo)) +- HiveTableScan [user_id#13L, name#14, ds#15], CatalogRelation CatalogTable( Database: default Table: my_table Owner: tejasp Created: Fri Apr 14 17:05:50 PDT 2017 Last Access: Wed Dec 31 16:00:00 PST 1969 Type: MANAGED Provider: hive Properties: [serialization.format=1] Statistics: 9223372036854775807 bytes Location: file:/tmp/warehouse/my_table Serde Library: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe InputFormat: org.apache.hadoop.mapred.TextInputFormat OutputFormat: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat Partition Provider: Catalog Partition Columns: [`ds`] Schema: root -- user_id: long (nullable = true) -- name: string (nullable = true) -- ds: string (nullable = true) ), [user_id#13L, name#14], [ds#15] ``` After ``` scala> hc.sql(" SELECT * FROM my_table WHERE name = 'foo' ").explain(true) == Parsed Logical Plan == 'Project [*] +- 'Filter ('name = foo) +- 'UnresolvedRelation `my_table` == Analyzed Logical Plan == user_id: bigint, name: string, ds: string Project [user_id#13L, name#14, ds#15] +- Filter (name#14 = foo) +- SubqueryAlias my_table +- CatalogRelation `default`.`my_table`, [user_id#13L, name#14], [ds#15] == Optimized Logical Plan == Filter (isnotnull(name#14) && (name#14 = foo)) +- CatalogRelation `default`.`my_table`, [user_id#13L, name#14], [ds#15] == Physical Plan == *Filter (isnotnull(name#14) && (name#14 = foo)) +- HiveTableScan [user_id#13L, name#14, ds#15], CatalogRelation `default`.`my_table`, [user_id#13L, name#14], [ds#15] ``` Author: Tejas Patil <tejasp@fb.com> Closes #17780 from tejasapatil/SPARK-20487_verbose_plan. |
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catalyst | ||
core | ||
hive | ||
hive-thriftserver | ||
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.