- SHOW Statement
- SHOW FILES Statement
- SHOW ROLES Statement
- SHOW CURRENT ROLES
- SHOW ROLE GRANT GROUP Statement
- SHOW GRANT ROLE Statement
- SHOW GRANT USER Statement
- SHOW DATABASES
- SHOW TABLES Statement
- SHOW CREATE TABLE Statement
- SHOW CREATE VIEW Statement
- SHOW TABLE STATS Statement
- SHOW COLUMN STATS Statement
- SHOW PARTITIONS Statement
- SHOW FUNCTIONS Statement
SHOW Statement
The SHOW
statement is a flexible way to get information about different types of Impala objects.
Syntax:
SHOW DATABASES [[LIKE] 'pattern']
SHOW SCHEMAS [[LIKE] 'pattern'] - an alias for SHOW DATABASES
SHOW TABLES [IN database_name] [[LIKE] 'pattern']
SHOW [AGGREGATE | ANALYTIC] FUNCTIONS [IN database_name] [[LIKE] 'pattern']
SHOW CREATE TABLE [database_name].table_name
SHOW CREATE VIEW [database_name].view_name
SHOW TABLE STATS [database_name.]table_name
SHOW COLUMN STATS [database_name.]table_name
SHOW PARTITIONS [database_name.]table_name
SHOW [RANGE] PARTITIONS [database_name.]table_name
SHOW FILES IN [database_name.]table_name [PARTITION (key_col_expression [, key_col_expression]]
SHOW ROLES
SHOW CURRENT ROLES
SHOW ROLE GRANT GROUP group_name
SHOW GRANT USER user_name
SHOW GRANT USER user_name ON SERVER
SHOW GRANT USER user_name ON DATABASE database_name
SHOW GRANT USER user_name ON TABLE database_name.table_name
SHOW GRANT USER user_name ON URI uri
SHOW GRANT USER user_name ON COLUMN database_name.table_name.column_name
SHOW GRANT ROLE role_name
SHOW GRANT ROLE role_name ON SERVER
SHOW GRANT ROLE role_name ON DATABASE database_name
SHOW GRANT ROLE role_name ON TABLE database_name.table_name
SHOW GRANT ROLE role_name ON URI uri
SHOW GRANT ROLE role_name ON COLUMN database_name.table_name.column_name
SHOW GRANT GROUP group_name ON SERVER
SHOW GRANT GROUP group_name ON DATABASE database_name
SHOW GRANT GROUP group_name ON TABLE database_name.table_name
SHOW GRANT GROUP group_name ON URI uri
SHOW GRANT GROUP group_name ON COLUMN database_name.table_name.column_name
Issue a SHOW object_type
statement to see the appropriate objects in the current database, or SHOW object_type IN database_name
to see objects in a specific database.
The optional pattern argument is a quoted string literal, using Unix-style *
wildcards and allowing |
for alternation. The preceding LIKE
keyword is also optional. All object names are stored in lowercase, so use all lowercase letters in the pattern string. For example:
SHOW DATABASES 'a*';
SHOW DATABASES LIKE 'a*';
SHOW TABLES IN some_db LIKE '*fact*';
USE some_db;
SHOW TABLES '*dim*|*fact*';
Cancellation: Cannot be cancelled.
Parent topic: Impala SQL Statements
SHOW FILES Statement
The SHOW FILES
statement displays the files that constitute a specified table, or a partition within a partitioned table. This syntax is available in Impala 2.2 and higher only. The output includes the names of the files, the size of each file, and the applicable partition for a partitioned table. The size includes a suffix of B
for bytes, MB
for megabytes, and GB
for gigabytes.
In Impala 2.8 and higher, you can use general expressions with operators such as <
, IN
, LIKE
, and BETWEEN
in the PARTITION
clause, instead of only equality operators. For example:
show files in sample_table partition (j < 5);
show files in sample_table partition (k = 3, l between 1 and 10);
show files in sample_table partition (month like 'J%');
Note: This statement applies to tables and partitions stored on HDFS, or in the Amazon Simple Storage System (S3). It does not apply to views. It does not apply to tables mapped onto HBase or Kudu, because those data management systems do not use the same file-based storage layout.
Usage notes:
You can use this statement to verify the results of your ETL process: that is, that the expected files are present, with the expected sizes. You can examine the file information to detect conditions such as empty files, missing files, or inefficient layouts due to a large number of small files. When you use INSERT
statements to copy from one table to another, you can see how the file layout changes due to file format conversions, compaction of small input files into large data blocks, and multiple output files from parallel queries and partitioned inserts.
The output from this statement does not include files that Impala considers to be hidden or invisible, such as those whose names start with a dot or an underscore, or that end with the suffixes .copying
or .tmp
.
The information for partitioned tables complements the output of the SHOW PARTITIONS
statement, which summarizes information about each partition. SHOW PARTITIONS
produces some output for each partition, while SHOW FILES
does not produce any output for empty partitions because they do not include any data files.
HDFS permissions:
The user ID that the impalad daemon runs under, typically the impala
user, must have read permission for all the table files, read and execute permission for all the directories that make up the table, and execute permission for the database directory and all its parent directories.
Examples:
The following example shows a SHOW FILES
statement for an unpartitioned table using text format:
[localhost:21000] > create table unpart_text (x bigint, s string);
[localhost:21000] > insert into unpart_text (x, s) select id, name
> from oreilly.sample_data limit 20e6;
[localhost:21000] > show files in unpart_text;
+--------------------------------------------------------------------------------------+----------+-----------+
| path | size | partition |
+--------------------------------------------------------------------------------------+----------+-----------+
| hdfs://impala_data_dir/show_files.db/unpart_text/35665776ef85cfaf_1012432410_data.0. | 448.31MB | |
+--------------------------------------------------------------------------------------+----------+-----------+
[localhost:21000] > insert into unpart_text (x, s) select id, name from oreilly.sample_data limit 100e6;
[localhost:21000] > show files in unpart_text;
+--------------------------------------------------------------------------------------+----------+-----------+
| path | size | partition |
+--------------------------------------------------------------------------------------+----------+-----------+
| hdfs://impala_data_dir/show_files.db/unpart_text/35665776ef85cfaf_1012432410_data.0. | 448.31MB | |
| hdfs://impala_data_dir/show_files.db/unpart_text/ac3dba252a8952b8_1663177415_data.0. | 2.19GB | |
+--------------------------------------------------------------------------------------+----------+-----------+
This example illustrates how, after issuing some INSERT ... VALUES
statements, the table now contains some tiny files of just a few bytes. Such small files could cause inefficient processing of parallel queries that are expecting multi-megabyte input files. The example shows how you might compact the small files by doing an INSERT ... SELECT
into a different table, possibly converting the data to Parquet in the process:
[localhost:21000] > insert into unpart_text values (10,'hello'), (20, 'world');
[localhost:21000] > insert into unpart_text values (-1,'foo'), (-1000, 'bar');
[localhost:21000] > show files in unpart_text;
+--------------------------------------------------------------------------------------+----------+-----------+
| path | size | partition |
+--------------------------------------------------------------------------------------+----------+-----------+
| hdfs://impala_data_dir/show_files.db/unpart_text/4f11b8bdf8b6aa92_238145083_data.0. | 18B | |
| hdfs://impala_data_dir/show_files.db/unpart_text/35665776ef85cfaf_1012432410_data.0. | 448.31MB | |
| hdfs://impala_data_dir/show_files.db/unpart_text/ac3dba252a8952b8_1663177415_data.0. | 2.19GB | |
| hdfs://impala_data_dir/show_files.db/unpart_text/cfb8252452445682_1868457216_data.0. | 17B | |
+--------------------------------------------------------------------------------------+----------+-----------+
[localhost:21000] > create table unpart_parq stored as parquet as select * from unpart_text;
+---------------------------+
| summary |
+---------------------------+
| Inserted 120000002 row(s) |
+---------------------------+
[localhost:21000] > show files in unpart_parq;
+------------------------------------------------------------------------------------------+----------+
| path | size |
+------------------------------------------------------------------------------------------+----------+
| hdfs://impala_data_dir/show_files.db/unpart_parq/60798d96ba630184_549959007_data.0.parq | 255.36MB |
| hdfs://impala_data_dir/show_files.db/unpart_parq/60798d96ba630184_549959007_data.1.parq | 178.52MB |
| hdfs://impala_data_dir/show_files.db/unpart_parq/60798d96ba630185_549959007_data.0.parq | 255.37MB |
| hdfs://impala_data_dir/show_files.db/unpart_parq/60798d96ba630185_549959007_data.1.parq | 57.71MB |
| hdfs://impala_data_dir/show_files.db/unpart_parq/60798d96ba630186_2141167244_data.0.parq | 255.40MB |
| hdfs://impala_data_dir/show_files.db/unpart_parq/60798d96ba630186_2141167244_data.1.parq | 175.52MB |
| hdfs://impala_data_dir/show_files.db/unpart_parq/60798d96ba630187_1006832086_data.0.parq | 255.40MB |
| hdfs://impala_data_dir/show_files.db/unpart_parq/60798d96ba630187_1006832086_data.1.parq | 214.61MB |
+------------------------------------------------------------------------------------------+----------+
The following example shows a SHOW FILES
statement for a partitioned text table with data in two different partitions, and two empty partitions. The partitions with no data are not represented in the SHOW FILES
output.
[localhost:21000] > create table part_text (x bigint, y int, s string)
> partitioned by (year bigint, month bigint, day bigint);
[localhost:21000] > insert overwrite part_text (x, y, s) partition (year=2014,month=1,day=1)
> select id, val, name from oreilly.normalized_parquet
where id between 1 and 1000000;
[localhost:21000] > insert overwrite part_text (x, y, s) partition (year=2014,month=1,day=2)
> select id, val, name from oreilly.normalized_parquet
> where id between 1000001 and 2000000;
[localhost:21000] > alter table part_text add partition (year=2014,month=1,day=3);
[localhost:21000] > alter table part_text add partition (year=2014,month=1,day=4);
[localhost:21000] > show partitions part_text;
+-------+-------+-----+-------+--------+---------+--------------+-------------------+--------+-------------------+
| year | month | day | #Rows | #Files | Size | Bytes Cached | Cache Replication | Format | Incremental stats |
+-------+-------+-----+-------+--------+---------+--------------+-------------------+--------+-------------------+
| 2014 | 1 | 1 | -1 | 4 | 25.16MB | NOT CACHED | NOT CACHED | TEXT | false |
| 2014 | 1 | 2 | -1 | 4 | 26.22MB | NOT CACHED | NOT CACHED | TEXT | false |
| 2014 | 1 | 3 | -1 | 0 | 0B | NOT CACHED | NOT CACHED | TEXT | false |
| 2014 | 1 | 4 | -1 | 0 | 0B | NOT CACHED | NOT CACHED | TEXT | false |
| Total | | | -1 | 8 | 51.38MB | 0B | | | |
+-------+-------+-----+-------+--------+---------+--------------+-------------------+--------+-------------------+
[localhost:21000] > show files in part_text;
+-----------------------------------------------------------------------------------------------------------------------+--------+-------------------------+
| path | size | partition |
+-----------------------------------------------------------------------------------------------------------------------+--------+-------------------------+
| hdfs://<impala_data_dir>/show_files.db/part_text/year=2014/month=1/day=1/80732d9dc80689f_1418645991_data.0. | 5.77MB | year=2014/month=1/day=1 |
| hdfs://<impala_data_dir>/show_files.db/part_text/year=2014/month=1/day=1/80732d9dc8068a0_1418645991_data.0. | 6.25MB | year=2014/month=1/day=1 |
| hdfs://<impala_data_dir>/show_files.db/part_text/year=2014/month=1/day=1/80732d9dc8068a1_147082319_data.0. | 7.16MB | year=2014/month=1/day=1 |
| hdfs://<impala_data_dir>/show_files.db/part_text/year=2014/month=1/day=1/80732d9dc8068a2_2111411753_data.0. | 5.98MB | year=2014/month=1/day=1 |
| hdfs://<impala_data_dir>/show_files.db/part_text/year=2014/month=1/day=2/21a828cf494b5bbb_501271652_data.0. | 6.42MB | year=2014/month=1/day=2 |
| hdfs://<impala_data_dir>/show_files.db/part_text/year=2014/month=1/day=2/21a828cf494b5bbc_501271652_data.0. | 6.62MB | year=2014/month=1/day=2 |
| hdfs://<impala_data_dir>/show_files.db/part_text/year=2014/month=1/day=2/21a828cf494b5bbd_1393490200_data.0. | 6.98MB | year=2014/month=1/day=2 |
| hdfs://<impala_data_dir>/show_files.db/part_text/year=2014/month=1/day=2/21a828cf494b5bbe_1393490200_data.0. | 6.20MB | year=2014/month=1/day=2 |
+-----------------------------------------------------------------------------------------------------------------------+--------+-------------------------+
The following example shows a SHOW FILES
statement for a partitioned Parquet table. The number and sizes of files are different from the equivalent partitioned text table used in the previous example, because INSERT
operations for Parquet tables are parallelized differently than for text tables. (Also, the amount of data is so small that it can be written to Parquet without involving all the hosts in this 4-node cluster.)
[localhost:21000] > create table part_parq (x bigint, y int, s string) partitioned by (year bigint, month bigint, day bigint) stored as parquet;
[localhost:21000] > insert into part_parq partition (year,month,day) select x, y, s, year, month, day from partitioned_text;
[localhost:21000] > show partitions part_parq;
+-------+-------+-----+-------+--------+---------+--------------+-------------------+---------+-------------------+
| year | month | day | #Rows | #Files | Size | Bytes Cached | Cache Replication | Format | Incremental stats |
+-------+-------+-----+-------+--------+---------+--------------+-------------------+---------+-------------------+
| 2014 | 1 | 1 | -1 | 3 | 17.89MB | NOT CACHED | NOT CACHED | PARQUET | false |
| 2014 | 1 | 2 | -1 | 3 | 17.89MB | NOT CACHED | NOT CACHED | PARQUET | false |
| Total | | | -1 | 6 | 35.79MB | 0B | | | |
+-------+-------+-----+-------+--------+---------+--------------+-------------------+---------+-------------------+
[localhost:21000] > show files in part_parq;
+-----------------------------------------------------------------------------------------------+--------+-------------------------+
| path | size | partition |
+-----------------------------------------------------------------------------------------------+--------+-------------------------+
| hdfs://impala_data_dir/show_files.db/part_parq/year=2014/month=1/day=1/1134113650_data.0.parq | 4.49MB | year=2014/month=1/day=1 |
| hdfs://impala_data_dir/show_files.db/part_parq/year=2014/month=1/day=1/617567880_data.0.parq | 5.14MB | year=2014/month=1/day=1 |
| hdfs://impala_data_dir/show_files.db/part_parq/year=2014/month=1/day=1/2099499416_data.0.parq | 8.27MB | year=2014/month=1/day=1 |
| hdfs://impala_data_dir/show_files.db/part_parq/year=2014/month=1/day=2/945567189_data.0.parq | 8.80MB | year=2014/month=1/day=2 |
| hdfs://impala_data_dir/show_files.db/part_parq/year=2014/month=1/day=2/2145850112_data.0.parq | 4.80MB | year=2014/month=1/day=2 |
| hdfs://impala_data_dir/show_files.db/part_parq/year=2014/month=1/day=2/665613448_data.0.parq | 4.29MB | year=2014/month=1/day=2 |
+-----------------------------------------------------------------------------------------------+--------+-------------------------+
The following example shows output from the SHOW FILES
statement for a table where the data files are stored in Amazon S3:
[localhost:21000] > show files in s3_testing.sample_data_s3;
+-----------------------------------------------------------------------+---------+
| path | size |
+-----------------------------------------------------------------------+---------+
| s3a://impala-demo/sample_data/e065453cba1988a6_1733868553_data.0.parq | 24.84MB |
+-----------------------------------------------------------------------+---------+
SHOW ROLES Statement
The SHOW ROLES
statement displays roles. This syntax is available in Impala 2.0 and later only, when you are using the Ranger authorization framework along with the Ranger service, as described in Managing Privileges.
Security considerations:
When authorization is enabled, the output of the SHOW
statement only shows those objects for which you have the privilege to view. If you believe an object exists but you cannot see it in the SHOW
output, check with the system administrator if you need to be granted a new privilege for that object. See Impala Authorization for how to set up authorization and add privileges for specific objects.
Examples:
Depending on the roles set up within your organization by the CREATE ROLE
statement, the output might look something like this:
show roles;
+-----------+
| role_name |
+-----------+
| analyst |
| role1 |
| sales |
| superuser |
| test_role |
+-----------+
HDFS permissions: This statement does not touch any HDFS files or directories, therefore no HDFS permissions are required.
Related information:
SHOW CURRENT ROLES
The SHOW CURRENT ROLES
statement displays roles assigned to the current user. This syntax is available in Impala 2.0 and later only, when you are using the Ranger authorization framework along with the Ranger service, as described in Managing Privileges.
Security considerations:
When authorization is enabled, the output of the SHOW
statement only shows those objects for which you have the privilege to view. If you believe an object exists but you cannot see it in the SHOW
output, check with the system administrator if you need to be granted a new privilege for that object. See Impala Authorization for how to set up authorization and add privileges for specific objects.
Examples:
Depending on the roles set up within your organization by the CREATE ROLE
statement, the output might look something like this:
show current roles;
+-----------+
| role_name |
+-----------+
| role1 |
| superuser |
+-----------+
HDFS permissions: This statement does not touch any HDFS files or directories, therefore no HDFS permissions are required.
Related information:
SHOW ROLE GRANT GROUP Statement
The SHOW ROLE GRANT GROUP
statement lists all the roles assigned to the specified group. This statement is only allowed for Ranger administrative users and others users that are part of the specified group. This syntax is available in Impala 2.0 and later only, when you are using the Ranger authorization framework along with the Ranger service, as described in Managing Privileges.
Security considerations:
When authorization is enabled, the output of the SHOW
statement only shows those objects for which you have the privilege to view. If you believe an object exists but you cannot see it in the SHOW
output, check with the system administrator if you need to be granted a new privilege for that object. See Impala Authorization for how to set up authorization and add privileges for specific objects.
HDFS permissions: This statement does not touch any HDFS files or directories, therefore no HDFS permissions are required.
Related information:
SHOW GRANT ROLE Statement
The SHOW GRANT ROLE
statement list all the grants for the given role name. This statement is only allowed for Ranger administrative users and other users that have been granted the specified role. This syntax is available in Impala 2.0 and later only, when you are using the Ranger authorization framework along with the Ranger service, as described in Managing Privileges.
Security considerations:
When authorization is enabled, the output of the SHOW
statement only shows those objects for which you have the privilege to view. If you believe an object exists but you cannot see it in the SHOW
output, check with the system administrator if you need to be granted a new privilege for that object. See Impala Authorization for how to set up authorization and add privileges for specific objects.
HDFS permissions: This statement does not touch any HDFS files or directories, therefore no HDFS permissions are required.
Related information:
SHOW GRANT USER Statement
The SHOW GRANT USER
statement shows the list of privileges for a given user. This statement is only allowed for Ranger administrative users. However, the current user can run SHOW GRANT USER
for themselves.
This syntax is available in Impala 3.1 and later only, when you are using the Ranger authorization framework along with the Ranger service, as described in Managing Privileges.
Security considerations:
When authorization is enabled, the output of the SHOW
statement only shows those objects for which you have the privilege to view. If you believe an object exists but you cannot see it in the SHOW
output, check with the system administrator if you need to be granted a new privilege for that object. See Impala Authorization for how to set up authorization and add privileges for specific objects.
HDFS permissions: This statement does not touch any HDFS files or directories, therefore no HDFS permissions are required.
Related information:
SHOW DATABASES
The SHOW DATABASES
statement is often the first one you issue when connecting to an instance for the first time. You typically issue SHOW DATABASES
to see the names you can specify in a USE db_name
statement, then after switching to a database you issue SHOW TABLES
to see the names you can specify in SELECT
and INSERT
statements.
In Impala 2.5 and higher, the output includes a second column showing any associated comment for each database.
The output of SHOW DATABASES
includes the special _impala_builtins
database, which lets you view definitions of built-in functions, as described under SHOW FUNCTIONS
.
Security considerations:
When authorization is enabled, the output of the SHOW
statement only shows those objects for which you have the privilege to view. If you believe an object exists but you cannot see it in the SHOW
output, check with the system administrator if you need to be granted a new privilege for that object. See Impala Authorization for how to set up authorization and add privileges for specific objects.
Examples:
This example shows how you might locate a particular table on an unfamiliar system. The DEFAULT
database is the one you initially connect to; a database with that name is present on every system. You can issue SHOW TABLES IN db_name
without going into a database, or SHOW TABLES
once you are inside a particular database.
[localhost:21000] > show databases;
+------------------+----------------------------------------------+
| name | comment |
+------------------+----------------------------------------------+
| _impala_builtins | System database for Impala builtin functions |
| default | Default Hive database |
| file_formats | |
+------------------+----------------------------------------------+
Returned 3 row(s) in 0.02s
[localhost:21000] > show tables in file_formats;
+--------------------+
| name |
+--------------------+
| parquet_table |
| rcfile_table |
| sequencefile_table |
| textfile_table |
+--------------------+
Returned 4 row(s) in 0.01s
[localhost:21000] > use file_formats;
[localhost:21000] > show tables like '*parq*';
+--------------------+
| name |
+--------------------+
| parquet_table |
+--------------------+
Returned 1 row(s) in 0.01s
HDFS permissions: This statement does not touch any HDFS files or directories, therefore no HDFS permissions are required.
Related information:
Overview of Impala Databases, CREATE DATABASE Statement, DROP DATABASE Statement, USE Statement SHOW TABLES Statement, SHOW FUNCTIONS Statement
SHOW TABLES Statement
Displays the names of tables. By default, lists tables in the current database, or with the IN
clause, in a specified database. By default, lists all tables, or with the LIKE
clause, only those whose name match a pattern with *
wildcards.
Security considerations:
When authorization is enabled, the output of the SHOW
statement only shows those objects for which you have the privilege to view. If you believe an object exists but you cannot see it in the SHOW
output, check with the system administrator if you need to be granted a new privilege for that object. See Impala Authorization for how to set up authorization and add privileges for specific objects.
The user ID that the impalad daemon runs under, typically the impala
user, must have read and execute permissions for all directories that are part of the table. (A table could span multiple different HDFS directories if it is partitioned. The directories could be widely scattered because a partition can reside in an arbitrary HDFS directory based on its LOCATION
attribute.)
Examples:
The following examples demonstrate the SHOW TABLES
statement. If the database contains no tables, the result set is empty. If the database does contain tables, SHOW TABLES IN db_name
lists all the table names. SHOW TABLES
with no qualifiers lists all the table names in the current database.
create database empty_db;
show tables in empty_db;
Fetched 0 row(s) in 0.11s
create database full_db;
create table full_db.t1 (x int);
create table full_db.t2 like full_db.t1;
show tables in full_db;
+------+
| name |
+------+
| t1 |
| t2 |
+------+
use full_db;
show tables;
+------+
| name |
+------+
| t1 |
| t2 |
+------+
This example demonstrates how SHOW TABLES LIKE 'wildcard_pattern'
lists table names that match a pattern, or multiple alternative patterns. The ability to do wildcard matches for table names makes it helpful to establish naming conventions for tables to conveniently locate a group of related tables.
create table fact_tbl (x int);
create table dim_tbl_1 (s string);
create table dim_tbl_2 (s string);
/* Asterisk is the wildcard character. Only 2 out of the 3 just-created tables are returned. */
show tables like 'dim*';
+-----------+
| name |
+-----------+
| dim_tbl_1 |
| dim_tbl_2 |
+-----------+
/* We are already in the FULL_DB database, but just to be sure we can specify the database name also. */
show tables in full_db like 'dim*';
+-----------+
| name |
+-----------+
| dim_tbl_1 |
| dim_tbl_2 |
+-----------+
/* The pipe character separates multiple wildcard patterns. */
show tables like '*dim*|t*';
+-----------+
| name |
+-----------+
| dim_tbl_1 |
| dim_tbl_2 |
| t1 |
| t2 |
+-----------+
HDFS permissions: This statement does not touch any HDFS files or directories, therefore no HDFS permissions are required.
Related information:
Overview of Impala Tables, CREATE TABLE Statement, ALTER TABLE Statement, DROP TABLE Statement, DESCRIBE Statement, SHOW CREATE TABLE Statement, SHOW TABLE STATS Statement, SHOW DATABASES, SHOW FUNCTIONS Statement
SHOW CREATE TABLE Statement
As a schema changes over time, you might run a CREATE TABLE
statement followed by several ALTER TABLE
statements. To capture the cumulative effect of all those statements, SHOW CREATE TABLE
displays a CREATE TABLE
statement that would reproduce the current structure of a table. You can use this output in scripts that set up or clone a group of tables, rather than trying to reproduce the original sequence of CREATE TABLE
and ALTER TABLE
statements. When creating variations on the original table, or cloning the original table on a different system, you might need to edit the SHOW CREATE TABLE
output to change things such as the database name, LOCATION
field, and so on that might be different on the destination system.
If you specify a view name in the SHOW CREATE TABLE
, it returns a CREATE VIEW
statement with column names and the original SQL statement to reproduce the view. You need the VIEW_METADATA
privilege on the view and SELECT
privilege on all underlying views and tables to successfully run the SHOW CREATE VIEW
statement for a view. The SHOW CREATE VIEW
is available as an alias for SHOW CREATE TABLE
.
Security considerations:
When authorization is enabled, the output of the SHOW
statement only shows those objects for which you have the privilege to view. If you believe an object exists but you cannot see it in the SHOW
output, check with the system administrator if you need to be granted a new privilege for that object. See Impala Authorization for how to set up authorization and add privileges for specific objects.
HDFS permissions: This statement does not touch any HDFS files or directories, therefore no HDFS permissions are required.
For Kudu tables:
The column specifications include attributes such as
NULL
,NOT NULL
,ENCODING
, andCOMPRESSION
. If you do not specify those attributes in the originalCREATE TABLE
statement, theSHOW CREATE TABLE
output displays the defaults that were used.The specifications of any
RANGE
clauses are not displayed in full. To see the definition of the range clauses for a Kudu table, use theSHOW RANGE PARTITIONS
statement.The
TBLPROPERTIES
output reflects the Kudu master address and the internal Kudu name associated with the Impala table.
show CREATE TABLE numeric_grades_default_letter;
+------------------------------------------------------------------------------------------------+
| result |
+------------------------------------------------------------------------------------------------+
| CREATE TABLE user.numeric_grades_default_letter ( |
| score TINYINT NOT NULL ENCODING AUTO_ENCODING COMPRESSION DEFAULT_COMPRESSION, |
| letter_grade STRING NULL ENCODING AUTO_ENCODING COMPRESSION DEFAULT_COMPRESSION DEFAULT '-', |
| student STRING NULL ENCODING AUTO_ENCODING COMPRESSION DEFAULT_COMPRESSION, |
| PRIMARY KEY (score) |
| ) |
| PARTITION BY RANGE (score) (...) . |
| STORED AS KUDU |
| TBLPROPERTIES ('kudu.master_addresses'='vd0342.example.com:7051') |
+------------------------------------------------------------------------------------------------+
show range partitions numeric_grades_default_letter;
+--------------------------+
| RANGE (score) |
+--------------------------+
| 0 <= VALUES < 50 |
| 50 <= VALUES < 65 |
| 65 <= VALUES < 80 |
| 80 <= VALUES < 100 |
+--------------------------+
Examples:
The following example shows how various clauses from the CREATE TABLE
statement are represented in the output of SHOW CREATE TABLE
.
create table show_create_table_demo (id int comment "Unique ID", y double, s string)
partitioned by (year smallint)
stored as parquet;
show create table show_create_table_demo;
+----------------------------------------------------------------------------------------+
| result |
+----------------------------------------------------------------------------------------+
| CREATE TABLE scratch.show_create_table_demo ( |
| id INT COMMENT 'Unique ID', |
| y DOUBLE, |
| s STRING |
| ) |
| PARTITIONED BY ( |
| year SMALLINT |
| ) |
| STORED AS PARQUET |
| LOCATION 'hdfs://127.0.0.1:8020/user/hive/warehouse/scratch.db/show_create_table_demo' |
| TBLPROPERTIES ('transient_lastDdlTime'='1418152582') |
+----------------------------------------------------------------------------------------+
The following example shows how, after a sequence of ALTER TABLE
statements, the output from SHOW CREATE TABLE
represents the current state of the table. This output could be used to create a matching table rather than executing the original CREATE TABLE
and sequence of ALTER TABLE
statements.
alter table show_create_table_demo drop column s;
alter table show_create_table_demo set fileformat textfile;
show create table show_create_table_demo;
+----------------------------------------------------------------------------------------+
| result |
+----------------------------------------------------------------------------------------+
| CREATE TABLE scratch.show_create_table_demo ( |
| id INT COMMENT 'Unique ID', |
| y DOUBLE |
| ) |
| PARTITIONED BY ( |
| year SMALLINT |
| ) |
| STORED AS TEXTFILE |
| LOCATION 'hdfs://127.0.0.1:8020/user/hive/warehouse/demo.db/show_create_table_demo' |
| TBLPROPERTIES ('transient_lastDdlTime'='1418152638') |
+----------------------------------------------------------------------------------------+
Related information:
CREATE TABLE Statement, DESCRIBE Statement, SHOW TABLES Statement
SHOW CREATE VIEW Statement
The SHOW CREATE VIEW
, it returns a CREATE VIEW
statement with column names and the original SQL statement to reproduce the view. You need the VIEW_METADATA
privilege on the view and SELECT
privilege on all underlying views and tables to successfully run the SHOW CREATE VIEW
statement for a view.
The SHOW CREATE VIEW
is an alias for SHOW CREATE TABLE
.
SHOW TABLE STATS Statement
The SHOW TABLE STATS
and SHOW COLUMN STATS
variants are important for tuning performance and diagnosing performance issues, especially with the largest tables and the most complex join queries.
Any values that are not available (because the COMPUTE STATS
statement has not been run yet) are displayed as -1
.
SHOW TABLE STATS
provides some general information about the table, such as the number of files, overall size of the data, whether some or all of the data is in the HDFS cache, and the file format, that is useful whether or not you have run the COMPUTE STATS
statement. A -1
in the #Rows
output column indicates that the COMPUTE STATS
statement has never been run for this table. If the table is partitioned, SHOW TABLE STATS
provides this information for each partition. (It produces the same output as the SHOW PARTITIONS
statement in this case.)
The output of SHOW COLUMN STATS
is primarily only useful after the COMPUTE STATS
statement has been run on the table. A -1
in the #Distinct Values
output column indicates that the COMPUTE STATS
statement has never been run for this table. Currently, Impala always leaves the #Nulls
column as -1
, even after COMPUTE STATS
has been run.
These SHOW
statements work on actual tables only, not on views.
Security considerations:
When authorization is enabled, the output of the SHOW
statement only shows those objects for which you have the privilege to view. If you believe an object exists but you cannot see it in the SHOW
output, check with the system administrator if you need to be granted a new privilege for that object. See Impala Authorization for how to set up authorization and add privileges for specific objects.
Kudu considerations:
Because Kudu tables do not have characteristics derived from HDFS, such as number of files and HDFS cache status, the output of SHOW TABLE STATS
reflects different characteristics that apply to Kudu tables.
show table stats kudu_table;
+-------+-------------+---------+--------+------------------------------+
| #Rows | #Partitions | Size | Format | Location |
+-------+-------------+---------+--------+------------------------------+
| 100 | 7 | 56.16MB | KUDU | kudu-master.example.com:7051 |
+-------+-------------+---------+--------+------------------------------+
Examples:
The following examples show how the SHOW TABLE STATS
statement displays physical information about a table and the associated data files:
show table stats store_sales;
+-------+--------+----------+--------------+--------+-------------------+
| #Rows | #Files | Size | Bytes Cached | Format | Incremental stats |
+-------+--------+----------+--------------+--------+-------------------+
| -1 | 1 | 370.45MB | NOT CACHED | TEXT | false |
+-------+--------+----------+--------------+--------+-------------------+
show table stats customer;
+-------+--------+---------+--------------+--------+-------------------+
| #Rows | #Files | Size | Bytes Cached | Format | Incremental stats |
+-------+--------+---------+--------------+--------+-------------------+
| -1 | 1 | 12.60MB | NOT CACHED | TEXT | false |
+-------+--------+---------+--------------+--------+-------------------+
The following example shows how, after a COMPUTE STATS
or COMPUTE INCREMENTAL STATS
statement, the #Rows
field is now filled in. Because the STORE_SALES
table in this example is not partitioned, the COMPUTE INCREMENTAL STATS
statement produces regular stats rather than incremental stats, therefore the Incremental stats
field remains false
.
compute stats customer;
+------------------------------------------+
| summary |
+------------------------------------------+
| Updated 1 partition(s) and 18 column(s). |
+------------------------------------------+
show table stats customer;
+--------+--------+---------+--------------+--------+-------------------+
| #Rows | #Files | Size | Bytes Cached | Format | Incremental stats |
+--------+--------+---------+--------------+--------+-------------------+
| 100000 | 1 | 12.60MB | NOT CACHED | TEXT | false |
+--------+--------+---------+--------------+--------+-------------------+
compute incremental stats store_sales;
+------------------------------------------+
| summary |
+------------------------------------------+
| Updated 1 partition(s) and 23 column(s). |
+------------------------------------------+
show table stats store_sales;
+---------+--------+----------+--------------+--------+-------------------+
| #Rows | #Files | Size | Bytes Cached | Format | Incremental stats |
+---------+--------+----------+--------------+--------+-------------------+
| 2880404 | 1 | 370.45MB | NOT CACHED | TEXT | false |
+---------+--------+----------+--------------+--------+-------------------+
HDFS permissions:
The user ID that the impalad daemon runs under, typically the impala
user, must have read and execute permissions for all directories that are part of the table. (A table could span multiple different HDFS directories if it is partitioned. The directories could be widely scattered because a partition can reside in an arbitrary HDFS directory based on its LOCATION
attribute.) The Impala user must also have execute permission for the database directory, and any parent directories of the database directory in HDFS.
Related information:
COMPUTE STATS Statement, SHOW COLUMN STATS Statement
See Table and Column Statistics for usage information and examples.
SHOW COLUMN STATS Statement
The SHOW TABLE STATS
and SHOW COLUMN STATS
variants are important for tuning performance and diagnosing performance issues, especially with the largest tables and the most complex join queries.
Security considerations:
When authorization is enabled, the output of the SHOW
statement only shows those objects for which you have the privilege to view. If you believe an object exists but you cannot see it in the SHOW
output, check with the system administrator if you need to be granted a new privilege for that object. See Impala Authorization for how to set up authorization and add privileges for specific objects.
The output for SHOW COLUMN STATS
includes the relevant information for Kudu tables. The information for column statistics that originates in the underlying Kudu storage layer is also represented in the metastore database that Impala uses.
Examples:
The following examples show the output of the SHOW COLUMN STATS
statement for some tables, before the COMPUTE STATS
statement is run. Impala deduces some information, such as maximum and average size for fixed-length columns, and leaves and unknown values as -1
.
show column stats customer;
+------------------------+--------+------------------+--------+----------+----------+
| Column | Type | #Distinct Values | #Nulls | Max Size | Avg Size |
+------------------------+--------+------------------+--------+----------+----------+
| c_customer_sk | INT | -1 | -1 | 4 | 4 |
| c_customer_id | STRING | -1 | -1 | -1 | -1 |
| c_current_cdemo_sk | INT | -1 | -1 | 4 | 4 |
| c_current_hdemo_sk | INT | -1 | -1 | 4 | 4 |
| c_current_addr_sk | INT | -1 | -1 | 4 | 4 |
| c_first_shipto_date_sk | INT | -1 | -1 | 4 | 4 |
| c_first_sales_date_sk | INT | -1 | -1 | 4 | 4 |
| c_salutation | STRING | -1 | -1 | -1 | -1 |
| c_first_name | STRING | -1 | -1 | -1 | -1 |
| c_last_name | STRING | -1 | -1 | -1 | -1 |
| c_preferred_cust_flag | STRING | -1 | -1 | -1 | -1 |
| c_birth_day | INT | -1 | -1 | 4 | 4 |
| c_birth_month | INT | -1 | -1 | 4 | 4 |
| c_birth_year | INT | -1 | -1 | 4 | 4 |
| c_birth_country | STRING | -1 | -1 | -1 | -1 |
| c_login | STRING | -1 | -1 | -1 | -1 |
| c_email_address | STRING | -1 | -1 | -1 | -1 |
| c_last_review_date | STRING | -1 | -1 | -1 | -1 |
+------------------------+--------+------------------+--------+----------+----------+
show column stats store_sales;
+-----------------------+-------+------------------+--------+----------+----------+
| Column | Type | #Distinct Values | #Nulls | Max Size | Avg Size |
+-----------------------+-------+------------------+--------+----------+----------+
| ss_sold_date_sk | INT | -1 | -1 | 4 | 4 |
| ss_sold_time_sk | INT | -1 | -1 | 4 | 4 |
| ss_item_sk | INT | -1 | -1 | 4 | 4 |
| ss_customer_sk | INT | -1 | -1 | 4 | 4 |
| ss_cdemo_sk | INT | -1 | -1 | 4 | 4 |
| ss_hdemo_sk | INT | -1 | -1 | 4 | 4 |
| ss_addr_sk | INT | -1 | -1 | 4 | 4 |
| ss_store_sk | INT | -1 | -1 | 4 | 4 |
| ss_promo_sk | INT | -1 | -1 | 4 | 4 |
| ss_ticket_number | INT | -1 | -1 | 4 | 4 |
| ss_quantity | INT | -1 | -1 | 4 | 4 |
| ss_wholesale_cost | FLOAT | -1 | -1 | 4 | 4 |
| ss_list_price | FLOAT | -1 | -1 | 4 | 4 |
| ss_sales_price | FLOAT | -1 | -1 | 4 | 4 |
| ss_ext_discount_amt | FLOAT | -1 | -1 | 4 | 4 |
| ss_ext_sales_price | FLOAT | -1 | -1 | 4 | 4 |
| ss_ext_wholesale_cost | FLOAT | -1 | -1 | 4 | 4 |
| ss_ext_list_price | FLOAT | -1 | -1 | 4 | 4 |
| ss_ext_tax | FLOAT | -1 | -1 | 4 | 4 |
| ss_coupon_amt | FLOAT | -1 | -1 | 4 | 4 |
| ss_net_paid | FLOAT | -1 | -1 | 4 | 4 |
| ss_net_paid_inc_tax | FLOAT | -1 | -1 | 4 | 4 |
| ss_net_profit | FLOAT | -1 | -1 | 4 | 4 |
+-----------------------+-------+------------------+--------+----------+----------+
The following examples show the output of the SHOW COLUMN STATS
statement for some tables, after the COMPUTE STATS
statement is run. Now most of the -1
values are changed to reflect the actual table data. The #Nulls
column remains -1
because Impala does not use the number of NULL
values to influence query planning.
compute stats customer;
+------------------------------------------+
| summary |
+------------------------------------------+
| Updated 1 partition(s) and 18 column(s). |
+------------------------------------------+
compute stats store_sales;
+------------------------------------------+
| summary |
+------------------------------------------+
| Updated 1 partition(s) and 23 column(s). |
+------------------------------------------+
show column stats customer;
+------------------------+--------+------------------+--------+----------+--------+
| Column | Type | #Distinct Values | #Nulls | Max Size | Avg Size
+------------------------+--------+------------------+--------+----------+--------+
| c_customer_sk | INT | 139017 | -1 | 4 | 4 |
| c_customer_id | STRING | 111904 | -1 | 16 | 16 |
| c_current_cdemo_sk | INT | 95837 | -1 | 4 | 4 |
| c_current_hdemo_sk | INT | 8097 | -1 | 4 | 4 |
| c_current_addr_sk | INT | 57334 | -1 | 4 | 4 |
| c_first_shipto_date_sk | INT | 4374 | -1 | 4 | 4 |
| c_first_sales_date_sk | INT | 4409 | -1 | 4 | 4 |
| c_salutation | STRING | 7 | -1 | 4 | 3.1308 |
| c_first_name | STRING | 3887 | -1 | 11 | 5.6356 |
| c_last_name | STRING | 4739 | -1 | 13 | 5.9106 |
| c_preferred_cust_flag | STRING | 3 | -1 | 1 | 0.9656 |
| c_birth_day | INT | 31 | -1 | 4 | 4 |
| c_birth_month | INT | 12 | -1 | 4 | 4 |
| c_birth_year | INT | 71 | -1 | 4 | 4 |
| c_birth_country | STRING | 205 | -1 | 20 | 8.4001 |
| c_login | STRING | 1 | -1 | 0 | 0 |
| c_email_address | STRING | 94492 | -1 | 46 | 26.485 |
| c_last_review_date | STRING | 349 | -1 | 7 | 6.7561 |
+------------------------+--------+------------------+--------+----------+--------+
show column stats store_sales;
+-----------------------+-------+------------------+--------+----------+----------+
| Column | Type | #Distinct Values | #Nulls | Max Size | Avg Size |
+-----------------------+-------+------------------+--------+----------+----------+
| ss_sold_date_sk | INT | 4395 | -1 | 4 | 4 |
| ss_sold_time_sk | INT | 63617 | -1 | 4 | 4 |
| ss_item_sk | INT | 19463 | -1 | 4 | 4 |
| ss_customer_sk | INT | 122720 | -1 | 4 | 4 |
| ss_cdemo_sk | INT | 242982 | -1 | 4 | 4 |
| ss_hdemo_sk | INT | 8097 | -1 | 4 | 4 |
| ss_addr_sk | INT | 70770 | -1 | 4 | 4 |
| ss_store_sk | INT | 6 | -1 | 4 | 4 |
| ss_promo_sk | INT | 355 | -1 | 4 | 4 |
| ss_ticket_number | INT | 304098 | -1 | 4 | 4 |
| ss_quantity | INT | 105 | -1 | 4 | 4 |
| ss_wholesale_cost | FLOAT | 9600 | -1 | 4 | 4 |
| ss_list_price | FLOAT | 22191 | -1 | 4 | 4 |
| ss_sales_price | FLOAT | 20693 | -1 | 4 | 4 |
| ss_ext_discount_amt | FLOAT | 228141 | -1 | 4 | 4 |
| ss_ext_sales_price | FLOAT | 433550 | -1 | 4 | 4 |
| ss_ext_wholesale_cost | FLOAT | 406291 | -1 | 4 | 4 |
| ss_ext_list_price | FLOAT | 574871 | -1 | 4 | 4 |
| ss_ext_tax | FLOAT | 91806 | -1 | 4 | 4 |
| ss_coupon_amt | FLOAT | 228141 | -1 | 4 | 4 |
| ss_net_paid | FLOAT | 493107 | -1 | 4 | 4 |
| ss_net_paid_inc_tax | FLOAT | 653523 | -1 | 4 | 4 |
| ss_net_profit | FLOAT | 611934 | -1 | 4 | 4 |
+-----------------------+-------+------------------+--------+----------+----------+
HDFS permissions:
The user ID that the impalad daemon runs under, typically the impala
user, must have read and execute permissions for all directories that are part of the table. (A table could span multiple different HDFS directories if it is partitioned. The directories could be widely scattered because a partition can reside in an arbitrary HDFS directory based on its LOCATION
attribute.) The Impala user must also have execute permission for the database directory, and any parent directories of the database directory in HDFS.
Related information:
COMPUTE STATS Statement, SHOW TABLE STATS Statement
See Table and Column Statistics for usage information and examples.
SHOW PARTITIONS Statement
SHOW PARTITIONS
displays information about each partition for a partitioned table. (The output is the same as the SHOW TABLE STATS
statement, but SHOW PARTITIONS
only works on a partitioned table.) Because it displays table statistics for all partitions, the output is more informative if you have run the COMPUTE STATS
statement after creating all the partitions. See COMPUTE STATS Statement for details. For example, on a CENSUS
table partitioned on the YEAR
column:
Security considerations:
When authorization is enabled, the output of the SHOW
statement only shows those objects for which you have the privilege to view. If you believe an object exists but you cannot see it in the SHOW
output, check with the system administrator if you need to be granted a new privilege for that object. See Impala Authorization for how to set up authorization and add privileges for specific objects.
Kudu considerations:
The optional RANGE
clause only applies to Kudu tables. It displays only the partitions defined by the RANGE
clause of CREATE TABLE
or ALTER TABLE
.
Although you can specify <
or <=
comparison operators when defining range partitions for Kudu tables, Kudu rewrites them if necessary to represent each range as low_bound <= VALUES < high_bound
. This rewriting might involve incrementing one of the boundary values or appending a \0
for string values, so that the partition covers the same range as originally specified.
Examples:
The following example shows the output for a Parquet, text, or other HDFS-backed table partitioned on the YEAR
column:
[localhost:21000] > show partitions census;
+-------+-------+--------+------+---------+
| year | #Rows | #Files | Size | Format |
+-------+-------+--------+------+---------+
| 2000 | -1 | 0 | 0B | TEXT |
| 2004 | -1 | 0 | 0B | TEXT |
| 2008 | -1 | 0 | 0B | TEXT |
| 2010 | -1 | 0 | 0B | TEXT |
| 2011 | 4 | 1 | 22B | TEXT |
| 2012 | 4 | 1 | 22B | TEXT |
| 2013 | 1 | 1 | 231B | PARQUET |
| Total | 9 | 3 | 275B | |
+-------+-------+--------+------+---------+
The following example shows the output for a Kudu table using the hash partitioning mechanism. The number of rows in the result set corresponds to the values used in the PARTITIONS N
clause of CREATE TABLE
. If the Kudu table is created with the clause PARTITIONS 20
, then the result set of SHOW PARTITIONS
consists of 20 rows, each representing one of the numbered partitions. For example:
show partitions million_rows_hash;
+--------+-----------+----------+-----------------------+------------+
| # Rows | Start Key | Stop Key | Leader Replica | # Replicas |
+--------+-----------+----------+-----------------------+------------+
| -1 | | 00000001 | n236.example.com:7050 | 3 |
| -1 | 00000001 | 00000002 | n236.example.com:7050 | 3 |
| -1 | 00000002 | 00000003 | n336.example.com:7050 | 3 |
| -1 | 00000003 | 00000004 | n238.example.com:7050 | 3 |
| -1 | 00000004 | 00000005 | n338.example.com:7050 | 3 |
...
| -1 | 0000002E | 0000002F | n240.example.com:7050 | 3 |
| -1 | 0000002F | 00000030 | n336.example.com:7050 | 3 |
| -1 | 00000030 | 00000031 | n240.example.com:7050 | 3 |
| -1 | 00000031 | | n334.example.com:7050 | 3 |
+--------+-----------+----------+-----------------------+------------+
Fetched 50 row(s) in 0.05s
Impala only computes the number of rows for the whole Kudu table, partition level row counts are not available.
The following example shows the output for a Kudu table using the range partitioning mechanism:
show range partitions million_rows_range;
+-----------------------+
| RANGE (id) |
+-----------------------+
| VALUES < "A" |
| "A" <= VALUES < "[" |
| "a" <= VALUES < "{" |
| "{" <= VALUES < "~\0" |
+-----------------------+
HDFS permissions:
The user ID that the impalad daemon runs under, typically the impala
user, must have read and execute permissions for all directories that are part of the table. (A table could span multiple different HDFS directories if it is partitioned. The directories could be widely scattered because a partition can reside in an arbitrary HDFS directory based on its LOCATION
attribute.) The Impala user must also have execute permission for the database directory, and any parent directories of the database directory in HDFS.
Related information:
See Table and Column Statistics for usage information and examples.
SHOW TABLE STATS Statement, Partitioning for Impala Tables
SHOW FUNCTIONS Statement
By default, SHOW FUNCTIONS
displays user-defined functions (UDFs) and SHOW AGGREGATE FUNCTIONS
displays user-defined aggregate functions (UDAFs) associated with a particular database. The output from SHOW FUNCTIONS
includes the argument signature of each function. You specify this argument signature as part of the DROP FUNCTION
statement. You might have several UDFs with the same name, each accepting different argument data types.
Usage notes:
In Impala 2.5 and higher, the SHOW FUNCTIONS
output includes a new column, labelled is persistent
. This property is true
for Impala built-in functions, C++ UDFs, and Java UDFs created using the new CREATE FUNCTION
syntax with no signature. It is false
for Java UDFs created using the old CREATE FUNCTION
syntax that includes the types for the arguments and return value. Any functions with false
shown for this property must be created again by the CREATE FUNCTION
statement each time the Impala catalog server is restarted. See CREATE FUNCTION
for information on switching to the new syntax, so that Java UDFs are preserved across restarts. Java UDFs that are persisted this way are also easier to share across Impala and Hive.
Security considerations:
When authorization is enabled, the output of the SHOW
statement only shows those objects for which you have the privilege to view. If you believe an object exists but you cannot see it in the SHOW
output, check with the system administrator if you need to be granted a new privilege for that object. See Impala Authorization for how to set up authorization and add privileges for specific objects.
HDFS permissions: This statement does not touch any HDFS files or directories, therefore no HDFS permissions are required.
Examples:
To display Impala built-in functions, specify the special database name _impala_builtins
:
show functions in _impala_builtins;
+--------------+-------------------------------------------------+-------------+---------------+
| return type | signature | binary type | is persistent |
+--------------+-------------------------------------------------+-------------+---------------+
| BIGINT | abs(BIGINT) | BUILTIN | true |
| DECIMAL(*,*) | abs(DECIMAL(*,*)) | BUILTIN | true |
| DOUBLE | abs(DOUBLE) | BUILTIN | true |
| FLOAT | abs(FLOAT) | BUILTIN | true |
+----------------+-----------------------------------------------+-------------+---------------+
show functions in _impala_builtins like '*week*';
+-------------+------------------------------+-------------+---------------+
| return type | signature | binary type | is persistent |
+-------------+------------------------------+-------------+---------------+
| INT | dayofweek(TIMESTAMP) | BUILTIN | true |
| INT | weekofyear(TIMESTAMP) | BUILTIN | true |
| TIMESTAMP | weeks_add(TIMESTAMP, BIGINT) | BUILTIN | true |
| TIMESTAMP | weeks_add(TIMESTAMP, INT) | BUILTIN | true |
| TIMESTAMP | weeks_sub(TIMESTAMP, BIGINT) | BUILTIN | true |
| TIMESTAMP | weeks_sub(TIMESTAMP, INT) | BUILTIN | true |
+-------------+------------------------------+-------------+---------------+
Related information:
Overview of Impala Functions, Impala Built-In Functions, User-Defined Functions (UDFs), SHOW DATABASES, SHOW TABLES Statement