- Release Notes
- Introduction to CelerData Cloud Serverless
- Quick Start
- Sign up for CelerData Cloud Serverless
- A quick tour of the console
- Connect to CelerData Cloud Serverless
- Create an IAM integration
- Create and assign a warehouse
- Create an external catalog
- Load data from cloud storage
- Load data from Apache Kafka/Confluent Cloud
- Try your first query
- Invite new users
- Design data access control policy
- Warehouses
- Catalog, database, table, view, and MV
- Overview of database objects
- Catalog
- Table types
- Asynchronous materialized views
- Data Loading
- Data access control
- Networking and private connectivity
- Usage and Billing
- Organization and Account
- Integration
- Query Acceleration
- Reference
- AWS IAM policies
- Information Schema
- Overview
- be_bvars
- be_cloud_native_compactions
- be_compactions
- character_sets
- collations
- column_privileges
- columns
- engines
- events
- global_variables
- key_column_usage
- load_tracking_logs
- loads
- materialized_views
- partitions
- pipe_files
- pipes
- referential_constraints
- routines
- schema_privileges
- schemata
- session_variables
- statistics
- table_constraints
- table_privileges
- tables
- tables_config
- task_runs
- tasks
- triggers
- user_privileges
- views
- Data Types
- System Metadatabase
- Keywords
- SQL Statements
- Account Management
- Data Definition
- CREATE TABLE
- ALTER TABLE
- DROP CATALOG
- CREATE TABLE LIKE
- REFRESH EXTERNAL TABLE
- RESTORE
- SET CATALOG
- DROP TABLE
- RECOVER
- USE
- CREATE MATERIALIZED VIEW
- DROP DATABASE
- ALTER MATERIALIZED VIEW
- DROP REPOSITORY
- CANCEL RESTORE
- DROP INDEX
- DROP MATERIALIZED VIEW
- CREATE DATABASE
- CREATE TABLE AS SELECT
- BACKUP
- CANCEL BACKUP
- CREATE REPOSITORY
- CREATE INDEX
- Data Manipulation
- INSERT
- SHOW CREATE DATABASE
- SHOW BACKUP
- SHOW ALTER MATERIALIZED VIEW
- SHOW CATALOGS
- SHOW CREATE MATERIALIZED VIEW
- SELECT
- SHOW ALTER
- SHOW MATERIALIZED VIEW
- RESUME ROUTINE LOAD
- ALTER ROUTINE LOAD
- SHOW TABLES
- STREAM LOAD
- SHOW PARTITIONS
- CANCEL REFRESH MATERIALIZED VIEW
- SHOW CREATE CATALOG
- SHOW ROUTINE LOAD TASK
- SHOW RESTORE
- CREATE ROUTINE LOAD
- STOP ROUTINE LOAD
- SHOW DATABASES
- BROKER LOAD
- SHOW ROUTINE LOAD
- PAUSE ROUTINE LOAD
- SHOW SNAPSHOT
- SHOW CREATE TABLE
- CANCEL LOAD
- REFRESH MATERIALIZED VIEW
- SHOW REPOSITORIES
- SHOW LOAD
- Administration
- DESCRIBE
- SQL Functions
- Function List
- String Functions
- CONCAT
- HEX
- LOWER
- SPLIT
- LPAD
- SUBSTRING
- PARSE_URL
- INSTR
- REPEAT
- LCASE
- REPLACE
- HEX_DECODE_BINARY
- RPAD
- SPLIT_PART
- STRCMP
- SPACE
- CHARACTER_LENGTH
- URL_ENCODE
- APPEND_TAILING_CHAR_IF_ABSENT
- LTRIM
- HEX_DECODE_STRING
- URL_DECODE
- LEFT
- STARTS_WITH
- CONCAT
- GROUP_CONCAT
- STR_TO_MAP
- STRLEFT
- STRRIGHT
- MONEY_FORMAT
- RIGHT
- SUBSTRING_INDEX
- UCASE
- TRIM
- FIND_IN_SET
- RTRIM
- ASCII
- UPPER
- REVERSE
- LENGTH
- UNHEX
- ENDS_WITH
- CHAR_LENGTH
- NULL_OR_EMPTY
- LOCATE
- CHAR
- Predicate Functions
- Map Functions
- Binary Functions
- Geospatial Functions
- Lambda Expression
- Utility Functions
- Bitmap Functions
- BITMAP_SUBSET_LIMIT
- TO_BITMAP
- BITMAP_AGG
- BITMAP_FROM_STRING
- BITMAP_OR
- BITMAP_REMOVE
- BITMAP_AND
- BITMAP_TO_BASE64
- BITMAP_MIN
- BITMAP_CONTAINS
- SUB_BITMAP
- BITMAP_UNION
- BITMAP_COUNT
- BITMAP_UNION_INT
- BITMAP_XOR
- BITMAP_UNION_COUNT
- BITMAP_HAS_ANY
- BITMAP_INTERSECT
- BITMAP_AND_NOT
- BITMAP_TO_STRING
- BITMAP_HASH
- INTERSECT_COUNT
- BITMAP_EMPTY
- BITMAP_MAX
- BASE64_TO_ARRAY
- BITMAP_TO_ARRAY
- Struct Functions
- Aggregate Functions
- RETENTION
- MI
- MULTI_DISTINCT_SUM
- WINDOW_FUNNEL
- STDDEV_SAMP
- GROUPING_ID
- HLL_HASH
- AVG
- HLL_UNION_AGG
- COUNT
- BITMAP
- HLL_EMPTY
- SUM
- MAX_BY
- PERCENTILE_CONT
- COVAR_POP
- PERCENTILE_APPROX
- HLL_RAW_AGG
- STDDEV
- CORR
- COVAR_SAMP
- MIN_BY
- MAX
- VAR_SAMP
- STD
- HLL_UNION
- APPROX_COUNT_DISTINCT
- MULTI_DISTINCT_COUNT
- VARIANCE
- ANY_VALUE
- COUNT_IF
- GROUPING
- PERCENTILE_DISC
- Array Functions
- ARRAY_CUM_SUM
- ARRAY_MAX
- ARRAY_LENGTH
- ARRAY_REMOVE
- UNNEST
- ARRAY_SLICE
- ALL_MATCH
- ARRAY_CONCAT
- ARRAY_SORT
- ARRAY_POSITION
- ARRAY_DIFFERENCE
- ARRAY_CONTAINS
- ARRAY_JOIN
- ARRAY_INTERSECT
- CARDINALITY
- ARRAY_CONTAINS_ALL
- ARRAYS_OVERLAP
- ARRAY_MIN
- ARRAY_MAP
- ELEMENT_AT
- ARRAY_APPEND
- ARRAY_SORTBY
- ARRAY_TO_BITMAP
- ARRAY_GENERATE
- ARRAY_AVG
- ARRAY_FILTER
- ANY_MATCH
- REVERSE
- ARRAY_AGG
- ARRAY_DISTINCT
- ARRAY_SUM
- Condition Functions
- Math Functions
- Date and Time Functions
- DAYNAME
- MINUTE
- FROM_UNIXTIME
- HOUR
- MONTHNAME
- MONTHS_ADD
- ADD_MONTHS
- DATE_SUB
- PREVIOUS_DAY
- TO_TERA_DATA
- MINUTES_SUB
- WEEKS_ADD
- HOURS_DIFF
- UNIX_TIMESTAMP
- DAY
- DATE_SLICE
- DATE
- CURTIME
- SECONDS_SUB
- MONTH
- WEEK
- TO_DATE
- TIMEDIFF
- MONTHS_DIFF
- STR_TO_JODATIME
- WEEK_ISO
- MICROSECONDS_SUB
- TIME_SLICE
- MAKEDATE
- DATE_TRUNC
- JODATIME
- DAYOFWEEK
- YEARS_SUB
- TIMESTAMP_ADD
- HOURS_SUB
- STR2DATE
- TIMESTAMP
- FROM_DAYS
- WEEK_OF_YEAR
- YEAR
- TIMESTAMP_DIFF
- TO_TERA_TIMESTAMP
- DAYOFMONTH
- DAYOFYEAR
- DATE_FORMAT
- MONTHS_SUB
- NEXT_DAY
- MINUTES_DIFF
- DATA_ADD
- MINUTES_ADD
- CURDATE
- DAY_OF_WEEK_ISO
- CURRENt_TIMESTAMP
- STR_TO_DATE
- LAST_DAY
- WEEKS_SUB
- TO_DAYS
- DATEDIFF
- NOW
- TO_ISO8601
- TIME_TO_SEC
- QUARTER
- SECONDS_DIFF
- UTC_TIMESTAMP
- DATA_DIFF
- SECONDS_ADD
- ADDDATE
- WEEKSDIFF
- CONVERT_TZ
- MICROSECONDS_ADD
- SECOND
- YEARS_DIFF
- YEARS_ADD
- HOURS_ADD
- DAYS_SUB
- DAYS_DIFF
- Cryptographic Functions
- Percentile Functions
- Bit Functions
- JSON Functions
- Hash Functions
- Scalar Functions
- Table Functions
array_contains_all
Description
Checks whether arr1
contains all the elements of arr2
, that is, whether arr2
is a subset of arr1
. If yes, 1 is returned. If not, 0 is returned.
Syntax
BOOLEAN array_contains_all(arr1, arr2)
Parameters
arr
: the two arrays to compare. This syntax checks whether arr2
is a subset of arr1
.
The data types of elements in the two arrays must be the same. For the data types of array elements supported by CelerData, see ARRAY.
Return value
Returns a value of the BOOLEAN type.
1 is returned if arr2
is a subset of arr1
. Otherwise, 0 is returned.
If any of the two arrays is NULL, NULL is returned.
Usage notes
If an array contains
null
elements,null
is processed as a value.An empty array is a subset of any array.
Elements in the two arrays can have different order.
Examples
Create a table named
t1
and insert data into this table.CREATE TABLE t1 ( c0 INT, c1 ARRAY<INT>, c2 ARRAY<INT> ) ENGINE=OLAP DUPLICATE KEY(c0) DISTRIBUTED BY HASH(c0); INSERT INTO t1 VALUES (1,[1,2,3],[1,2]), (2,[1,2,3],[1,4]), (3,NULL,[1]), (4,[1,2,null],NULL), (5,[1,2,null],[null]), (6,[2,3],[]);
Query data from this table.
SELECT * FROM t1 ORDER BY c0; +------+------------+----------+ | c0 | c1 | c2 | +------+------------+----------+ | 1 | [1,2,3] | [1,2] | | 2 | [1,2,3] | [1,4] | | 3 | NULL | [1] | | 4 | [1,2,null] | NULL | | 5 | [1,2,null] | [null] | | 6 | [2,3] | [] | +------+------------+----------+
Check whether each row of
c2
is a subset of the corresponding row ofc1
.SELECT c0, c1, c2, array_contains_all(c1, c2) FROM t1 ORDER BY c0; +------+------------+----------+----------------------------+ | c0 | c1 | c2 | array_contains_all(c1, c2) | +------+------------+----------+----------------------------+ | 1 | [1,2,3] | [1,2] | 1 | | 2 | [1,2,3] | [1,4] | 0 | | 3 | NULL | [1] | NULL | | 4 | [1,2,null] | NULL | NULL | | 5 | [1,2,null] | [null] | 1 | | 6 | [2,3] | [] | 1 | +------+------------+----------+----------------------------+
In the output:
For row 1, c2
is a subset of c1
and 1 is returned.
For row 2, c2
is not a subset of c1
and 0 is returned.
For row 3, c1
is NULL and NULL is returned.
For row 4, c2
is NULL and NULL is returned.
For row 5, the two arrays contain null
and null
is processed as a normal value, 1
is returned.
For row 6, c2
is an empty array and considered a subset of c1
. Therefore, 1
is returned.