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Zhenhua Wang fa36966b1e [SPARK-30410][SQL] Calculating size of table with large number of partitions causes flooding logs 
### What changes were proposed in this pull request?

For a partitioned table, if the number of partitions are very large, e.g. tens of thousands or even larger, calculating its total size causes flooding logs.
The flooding happens in:
1. `calculateLocationSize` prints the starting and ending for calculating the location size, and it is called per partition;
2. `bulkListLeafFiles` prints all partition paths.

This pr is to simplify the logging when calculating the size of a partitioned table.

### How was this patch tested?

not related

Closes #27079 from wzhfy/improve_log.

Authored-by: Zhenhua Wang <wzh_zju@163.com>
Signed-off-by: Sean Owen <srowen@gmail.com>
2020-01-08 08:22:38 -06:00
..
catalyst [SPARK-30214][SQL][FOLLOWUP] Remove statement logical plans for namespace commands 2020-01-08 19:33:19 +08:00
core [SPARK-30410][SQL] Calculating size of table with large number of partitions causes flooding logs 2020-01-08 08:22:38 -06:00
hive [SPARK-19784][SPARK-25403][SQL] Refresh the table even table stats is empty 2020-01-07 11:41:34 +08:00
hive-thriftserver [SPARK-30382][SQL] Remove Hive LogUtils usage to prevent ClassNotFoundException 2020-01-07 14:26:04 -08:00
create-docs.sh
gen-sql-markdown.py [SPARK-27328][SQL] Add 'deprecated' in ExpressionDescription for extended usage and SQL doc 2019-04-09 13:49:42 +08:00
mkdocs.yml
README.md [SPARK-28980][CORE][SQL][STREAMING][MLLIB] Remove most items deprecated in Spark 2.2.0 or earlier, for Spark 3 2019-09-09 10:19:40 -05:00

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 extensions that allow users to write queries using a subset of HiveQL and access data from a Hive Metastore using Hive SerDes. There are also wrappers that allow 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.