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Statistics in Hive

This document describes the support of statistics for Hive tables (see HIVE-33).

Motivation

Statistics such as the number of rows of a table or partition and the histograms of a particular interesting column are important in many ways. One of the key use cases of statistics is query optimization. Statistics serve as the input to the cost functions of the optimizer so that it can compare different plans and choose among them. Statistics may sometimes meet the purpose of the users' queries. Users can quickly get the answers for some of their queries by only querying stored statistics rather than firing long-running execution plans. Some examples are getting the quantile of the users' age distribution, the top 10 apps that are used by people, and the number of distinct sessions.

Scope

Table and Partition Statistics

The first milestone in supporting statistics was to support table and partition level statistics. Table and partition statistics are now stored in the Hive Metastore for either newly created or existing tables. The following statistics are currently supported for partitions:

  • Number of rows
  • Number of files
  • Size in Bytes

For tables, the same statistics are supported with the addition of the number of partitions of the table.

Version: Table and partition statistics

Table and partition level statistics were added in Hive 0.7.0 by HIVE-1361.

Column Statistics

The second milestone was to support column level statistics. See Column Statistics in Hive in the Design Documents.

Version: Column statistics

Column level statistics were added in Hive 0.10.0 by HIVE-1362.

Top K Statistics

Column level top K statistics are still pending; see HIVE-3421.

Implementation

The way the statistics are calculated is similar for both newly created and existing tables.

For newly created tables, the job that creates a new table is a MapReduce job. During the creation, every mapper while copying the rows from the source table in the FileSink operator, gathers statistics for the rows it encounters and publishes them into a Database (possibly MySQL). At the end of the MapReduce job, published statistics are aggregated and stored in the MetaStore.

A similar process happens in the case of already existing tables, where a Map-only job is created and every mapper while processing the table in the TableScan operator, gathers statistics for the rows it encounters and the same process continues.

It is clear that there is a need for a database that stores temporary gathered statistics. Currently there are two implementations, one is using MySQL and the other is using HBase. There are two pluggable interfaces IStatsPublisher and IStatsAggregator that the developer can implement to support any other storage. The interfaces are listed below:

Usage

Configuration Variables

See Statistics in Configuration Properties for a list of the variables that configure Hive table statistics. Configuring Hive describes how to use the variables.

Newly Created Tables

For newly created tables and/or partitions (that are populated through the INSERT OVERWRITE command), statistics are automatically computed by default. The user has to explicitly set the boolean variable hive.stats.autogather to false so that statistics are not automatically computed and stored into Hive MetaStore.

The user can also specify the implementation to be used for the storage of temporary statistics setting the variable hive.stats.dbclass. For example, to set HBase as the implementation of temporary statistics storage (the default is jdbc:derby or fs, depending on the Hive version) the user should issue the following command:

In case of JDBC implementations of temporary stored statistics (ex. Derby or MySQL), the user should specify the appropriate connection string to the database by setting the variable hive.stats.dbconnectionstring. Also the user should specify the appropriate JDBC driver by setting the variable hive.stats.jdbcdriver.

Queries can fail to collect stats completely accurately. There is a setting hive.stats.reliable that fails queries if the stats can't be reliably collected. This is false by default.

Existing Tables – ANALYZE

For existing tables and/or partitions, the user can issue the ANALYZE command to gather statistics and write them into Hive MetaStore. The syntax for that command is described below:

When the user issues that command, he may or may not specify the partition specs. If the user doesn't specify any partition specs, statistics are gathered for the table as well as all the partitions (if any). If certain partition specs are specified, then statistics are gathered for only those partitions. When computing statistics across all partitions, the partition columns still need to be listed. As of Hive 1.2.0, Hive fully supports qualified table name in this command. User can only compute the statistics for a table under current database if a non-qualified table name is used.

When the optional parameter NOSCAN is specified, the command won't scan files so that it's supposed to be fast. Instead of all statistics, it just gathers the following statistics:

  • Number of files
  • Physical size in bytes

Version 0.10.0: FOR COLUMNS

As of Hive 0.10.0, the optional parameter FOR COLUMNS computes column statistics for all columns in the specified table (and for all partitions if the table is partitioned). See Column Statistics in Hive for details.

To display these statistics, use DESCRIBE FORMATTED [db_name.]table_name column_name [PARTITION (partition_spec)].

Examples

Suppose table Table1 has 4 partitions with the following specs:

  • Partition1: (ds='2008-04-08', hr=11)
  • Partition2: (ds='2008-04-08', hr=12)
  • Partition3: (ds='2008-04-09', hr=11)
  • Partition4: (ds='2008-04-09', hr=12)

and you issue the following command:

then statistics are gathered for partition3 (ds='2008-04-09', hr=11) only.

If you issue the command:

then column statistics are gathered for all columns for partition3 (ds='2008-04-09', hr=11). This is available in Hive 0.10.0 and later.

If you issue the command:

then statistics are gathered for partitions 3 and 4 only (hr=11 and hr=12).

If you issue the command:

then column statistics for all columns are gathered for partitions 3 and 4 only (Hive 0.10.0 and later).

If you issue the command:

then statistics are gathered for all four partitions.

If you issue the command:

then column statistics for all columns are gathered for all four partitions (Hive 0.10.0 and later).

For a non-partitioned table, you can issue the command:

to gather statistics of the table.

For a non-partitioned table, you can issue the command:

to gather column statistics of the table (Hive 0.10.0 and later).

If Table1 is a partitioned table,  then for basic statistics you have to specify partition specifications like above in the analyze statement. Otherwise a semantic analyzer exception will be thrown.

However for column statistics, if no partition specification is given in the analyze statement, statistics for all partitions are computed.

You can view the stored statistics by issuing the DESCRIBE command. Statistics are stored in the Parameters array. Suppose you issue the analyze command for the whole table Table1, then issue the command:

then among the output, the following would be displayed:

If you issue the command:

then among the output, the following would be displayed:

If you issue the command:

then statistics, number of files and physical size in bytes are gathered for partitions 3 and 4 only.

ANALYZE TABLE <table1> CACHE METADATA

When Hive metastore is configured to use HBase, this command explicitly caches file metadata in HBase metastore.  

The goal of this feature is to cache file metadata (e.g. ORC file footers) to avoid reading lots of files from HDFS at split generation time, as well as potentially cache some information about splits (e.g. grouping based on location that would be good for some short time) to further speed up the generation and achieve better cache locality with consistent splits.

See feature details in HBase Metastore Split Cache and (HIVE-12075)

Current Status (JIRA)

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T Key Summary Assignee Reporter P Status Resolution Created Updated Due
Sub-task HIVE-13564 Deprecate HIVE_STATS_COLLECT_RAWDATASIZE Pengcheng Xiong Pengcheng Xiong Minor Open Unresolved Apr 20, 2016 Apr 20, 2016
Bug HIVE-13422 Analyse command not working for column having datatype as decimal(38,0) Unassigned ashim sinha Major Open Unresolved Apr 05, 2016 Apr 08, 2016 Apr 06, 2016
Sub-task HIVE-13358 Stats state is not captured correctly: turn off stats optimizer for sampled table Pengcheng Xiong Pengcheng Xiong Major Resolved Fixed Mar 24, 2016 Mar 29, 2016
Sub-task HIVE-13341 Stats state is not captured correctly: differentiate load table and create table Pengcheng Xiong Pengcheng Xiong Major Resolved Fixed Mar 23, 2016 May 09, 2016
Bug HIVE-13334 stats state is not captured correctly Pengcheng Xiong Ashutosh Chauhan Major Open Unresolved Mar 23, 2016 Mar 23, 2016
Bug HIVE-13287 Add logic to estimate stats for IN operator Jesus Camacho Rodriguez Jesus Camacho Rodriguez Major Resolved Fixed Mar 15, 2016 Apr 15, 2016
Bug HIVE-13261 Can not compute column stats for partition when schema evolves Pengcheng Xiong Pengcheng Xiong Major Resolved Fixed Mar 10, 2016 Mar 29, 2016
Bug HIVE-13233 Use min and max values to estimate better stats for comparison operators Jesus Camacho Rodriguez Jesus Camacho Rodriguez Major Resolved Fixed Mar 08, 2016 Mar 15, 2016
Bug HIVE-13109 NPE: Fix NDV estimator use within the StatsOptimizer Gopal V Gopal V Major Resolved Done Feb 20, 2016 Feb 20, 2016
Bug HIVE-13089 Rounding in Stats for equality expressions Jesus Camacho Rodriguez Jesus Camacho Rodriguez Major Resolved Fixed Feb 18, 2016 Feb 22, 2016
Sub-task HIVE-12961 Migrate Column Stats UniformDistribution to HBaseStore Pengcheng Xiong Pengcheng Xiong Major Resolved Fixed Jan 29, 2016 Mar 28, 2016
Sub-task HIVE-12960 Migrate Column Stats Extrapolation and UniformDistribution to HBaseStore Pengcheng Xiong Pengcheng Xiong Major Resolved Fixed Jan 29, 2016 Mar 28, 2016
Bug HIVE-12929 Stats collection for columns fails Unassigned Biswajit Nayak Major Open Unresolved Jan 26, 2016 Jan 26, 2016
Improvement HIVE-12873 Saving, sharing and securing Hive visualizations Unassigned Bidyut Bhattacharjee Major Open Unresolved Jan 14, 2016 Feb 18, 2016
New Feature HIVE-12730 MetadataUpdater: provide a mechanism to edit the basic statistics of a table (or a partition) Pengcheng Xiong Pengcheng Xiong Major Resolved Fixed Dec 22, 2015 Feb 20, 2016
Bug HIVE-12684 NPE in stats annotation when all values in decimal column are NULLs Prasanth Jayachandran Prasanth Jayachandran Major Closed Fixed Dec 16, 2015 Feb 16, 2016
Bug HIVE-12491 Improve ndv heuristic for functions Ashutosh Chauhan Gopal V Major Closed Fixed Nov 22, 2015 Feb 16, 2016
Bug HIVE-12489 Analyze for partition fails if partition value has special characters Thomas Friedrich Thomas Friedrich Minor Closed Fixed Nov 20, 2015 Feb 16, 2016
Bug HIVE-12480 Hive Counters "RECORDS_OUT" is wrong when using union all Unassigned Nemon Lou Minor Open Unresolved Nov 20, 2015 Nov 20, 2015
Bug HIVE-12432 Hive on Spark Counter "RECORDS_OUT" always be zero Unassigned Nemon Lou Major Resolved Duplicate Nov 17, 2015 Nov 24, 2015
Showing 20 out of 165 issues Refresh

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