- Introduction
- Quick Start
- Table Design
- Data Loading
- Overview of data loading
- Load data from a local file system or a streaming data source using HTTP push
- Load data from HDFS or cloud storage
- Routine Load
- Spark Load
- Insert Into
- Change data through loading
- Transform data at loading
- Json Loading
- Synchronize data from MySQL
- Load data by using flink-connector-starrocks
- DataX Writer
- Data Export
- Using StarRocks
- Reference
- SQL Reference
- User Account Management
- Cluster Management
- ADMIN CANCEL REPAIR
- ADMIN CHECK TABLET
- ADMIN REPAIR
- ADMIN SET CONFIG
- ADMIN SET REPLICA STATUS
- ADMIN SHOW CONFIG
- ADMIN SHOW REPLICA DISTRIBUTION
- ADMIN SHOW REPLICA STATUS
- ALTER SYSTEM
- CANCEL DECOMMISSION
- CREATE FILE
- DROP FILE
- INSTALL PLUGIN
- SHOW BACKENDS
- SHOW BROKER
- SHOW FILE
- SHOW FRONTENDS
- SHOW FULL COLUMNS
- SHOW INDEX
- SHOW PLUGINS
- SHOW TABLE STATUS
- UNINSTALL PLUGIN
- DDL
- ALTER DATABASE
- ALTER TABLE
- ALTER VIEW
- BACKUP
- CANCEL BACKUP
- CANCEL RESTORE
- CREATE DATABASE
- CREATE INDEX
- CREATE MATERIALIZED VIEW
- CREATE REPOSITORY
- CREATE RESOURCE
- CREATE TABLE AS SELECT
- CREATE TABLE LIKE
- CREATE TABLE
- CREATE VIEW
- CREATE FUNCTION
- DROP DATABASE
- DROP INDEX
- DROP MATERIALIZED VIEW
- DROP REPOSITORY
- DROP RESOURCE
- DROP TABLE
- DROP VIEW
- DROP FUNCTION
- HLL
- RECOVER
- RESTORE
- SHOW RESOURCES
- SHOW FUNCTION
- TRUNCATE TABLE
- DML
- ALTER ROUTINE LOAD
- BROKER LOAD
- CANCEL LOAD
- DELETE
- EXPORT
- GROUP BY
- INSERT
- PAUSE ROUTINE LOAD
- RESUME ROUTINE LOAD
- ROUTINE LOAD
- SELECT
- SHOW ALTER
- SHOW BACKUP
- SHOW DATA
- SHOW DATABASES
- SHOW DELETE
- SHOW DYNAMIC PARTITION TABLES
- SHOW EXPORT
- SHOW LOAD
- SHOW PARTITIONS
- SHOW PROPERTY
- SHOW REPOSITORIES
- SHOW RESTORE
- SHOW ROUTINE LOAD
- SHOW ROUTINE LOAD TASK
- SHOW SNAPSHOT
- SHOW TABLES
- SHOW TABLET
- SHOW TRANSACTION
- SPARK LOAD
- STOP ROUTINE LOAD
- STREAM LOAD
- Data Types
- Auxiliary Commands
- Function Reference
- Java UDFs
- Window Function
- Date Functions
- convert_tz
- curdate
- current_timestamp
- curtime
- datediff
- date_add
- date_format
- date_sub
- date_trunc
- day
- dayname
- dayofmonth
- dayofweek
- dayofyear
- from_days
- from_unixtime
- hour
- minute
- month
- monthname
- now
- quarter
- second
- str_to_date
- timediff
- timestampadd
- timestampdiff
- to_date
- to_days
- unix_timestamp
- utc_timestamp
- weekofyear
- year
- hours_diff
- minutes_diff
- months_diff
- seconds_diff
- weeks_diff
- years_diff
- Aggregate Functions
- Geographic Functions
- String Functions
- JSON Functions
- Overview of JSON functions and operators
- JSON constructor functions
- JSON query and processing functions
- JSON operators
- Aggregate Functions
- Bitmap Functions
- Array Functions
- cast function
- hash function
- Cryptographic Functions
- Math Functions
- Utility Functions
- System variables
- Error code
- System limits
- SQL Reference
- Administration
- FAQ
- Deploy
- Data Migration
- SQL
- Other FAQs
- Benchmark
- Developers
- Contribute to StarRocks
- Code Style Guides
- Use the debuginfo file for debugging
- Development Environment
- Trace Tools
- Integration
Edit
arrays_overlap
Description
Checks whether the intersection of two arrays is empty. The arrays that you specify must be of the same data type. If the intersection is empty, this function returns 0
. Otherwise, this function returns 1
.
Syntax
arrays_overlap(input0, input1)
Parameters
input0
: one of the two arrays that you want to compare.input1
: the other of the two arrays that you want to compare. The value of this parameter must be of the same data type as the value of theinput0
parameter.
Return value
Returns a value of the BOOLEAN data type.
Examples
Example 1:
mysql> select arrays_overlap([11, 9, 3, 2], [null, 11]);
+--------------------------------------+
| arrays_overlap([11,9,3,2], [NULL,11]) |
+--------------------------------------+
| 1 |
+--------------------------------------+
Example 2:
mysql> select arrays_overlap([9, 3, 2], [null, 11]);
+-----------------------------------+
| arrays_overlap([9,3,2], [NULL,11]) |
+-----------------------------------+
| 0 |
+-----------------------------------+
Example 3:
mysql> select arrays_overlap([9, 3, null, 2], [null, 11]);
+----------------------------------------+
| arrays_overlap([9,3,NULL,2], [NULL,11]) |
+----------------------------------------+
| 1 |
+----------------------------------------+
Example 4:
mysql> select arrays_overlap([9, 3, "SQL", 2], [null, "SQL"]);
+--------------------------------------------+
| arrays_overlap([9,3,'SQL',2], [NULL,'SQL']) |
+--------------------------------------------+
| 1 |
+--------------------------------------------+
Edit
In this article