- StarRocks
- Introduction to StarRocks
- Quick Start
- Deployment
- Deployment overview
- Prepare
- Deploy
- Deploy classic StarRocks
- Deploy and use shared-data StarRocks
- Manage
- Table Design
- Data Loading
- Concepts
- Overview of data loading
- Load data from a local file system or a streaming data source using HTTP PUT
- Load data from HDFS or cloud storage
- Continuously load data from Apache Kafka®
- Bulk load using Apache Sparkâ„¢
- Load data using INSERT
- Load data using Stream Load transaction interface
- Realtime synchronization from MySQL
- Continuously load data from Apache Flink®
- Change data through loading
- Transform data at loading
- Data Unloading
- Query Data Sources
- Query Acceleration
- Gather CBO statistics
- Synchronous materialized view
- Asynchronous materialized view
- Colocate Join
- Lateral Join
- Query Cache
- Index
- Computing the Number of Distinct Values
- Sorted streaming aggregate
- Administration
- Management
- Data recovery
- User Privilege and Authentication
- Performance Tuning
- Reference
- SQL Reference
- User Account Management
- Cluster Management
- ADD SQLBLACKLIST
- ADMIN CANCEL REPAIR TABLE
- ADMIN CHECK TABLET
- ADMIN REPAIR TABLE
- ADMIN SET CONFIG
- ADMIN SET REPLICA STATUS
- ADMIN SHOW CONFIG
- ADMIN SHOW REPLICA DISTRIBUTION
- ADMIN SHOW REPLICA STATUS
- ALTER RESOURCE GROUP
- ALTER SYSTEM
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- DROP RESOURCE GROUP
- EXPLAIN
- INSTALL PLUGIN
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- SET
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- SHOW PLUGINS
- SHOW PROC
- SHOW PROCESSLIST
- SHOW RESOURCE GROUP
- SHOW SQLBLACKLIST
- SHOW TABLE STATUS
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- UNINSTALL PLUGIN
- DDL
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- ALTER TABLE
- ALTER VIEW
- ALTER RESOURCE
- ANALYZE TABLE
- BACKUP
- CANCEL ALTER TABLE
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- CANCEL RESTORE
- CREATE ANALYZE
- CREATE DATABASE
- CREATE EXTERNAL CATALOG
- CREATE INDEX
- CREATE MATERIALIZED VIEW
- CREATE REPOSITORY
- CREATE RESOURCE
- CREATE TABLE AS SELECT
- CREATE TABLE LIKE
- CREATE TABLE
- CREATE VIEW
- CREATE FUNCTION
- DROP ANALYZE
- DROP STATS
- DROP CATALOG
- DROP DATABASE
- DROP INDEX
- DROP MATERIALIZED VIEW
- DROP REPOSITORY
- DROP RESOURCE
- DROP TABLE
- DROP VIEW
- DROP FUNCTION
- HLL
- KILL ANALYZE
- RECOVER
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- SHOW META
- SHOW RESOURCES
- SHOW FUNCTION
- TRUNCATE TABLE
- USE
- DML
- ALTER LOAD
- ALTER ROUTINE LOAD
- BROKER LOAD
- CANCEL LOAD
- CANCEL EXPORT
- CANCEL REFRESH MATERIALIZED VIEW
- CREATE ROUTINE LOAD
- DELETE
- EXPORT
- GROUP BY
- INSERT
- PAUSE ROUTINE LOAD
- REFRESH MATERIALIZED VIEW
- RESUME ROUTINE LOAD
- SELECT
- SHOW ALTER TABLE
- SHOW ALTER MATERIALIZED VIEW
- SHOW BACKUP
- SHOW CATALOGS
- SHOW CREATE CATALOG
- SHOW CREATE MATERIALIZED VIEW
- SHOW CREATE TABLE
- SHOW CREATE VIEW
- SHOW DATA
- SHOW DATABASES
- SHOW DELETE
- SHOW DYNAMIC PARTITION TABLES
- SHOW EXPORT
- SHOW LOAD
- SHOW MATERIALIZED VIEWS
- 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
- SUBMIT TASK
- UPDATE
- Auxiliary Commands
- Data Types
- Keywords
- AUTO_INCREMENT
- Function Reference
- Java UDFs
- Window functions
- Lambda expression
- Aggregate Functions
- array_agg
- avg
- any_value
- approx_count_distinct
- bitmap
- bitmap_agg
- count
- grouping
- grouping_id
- hll_empty
- hll_hash
- hll_raw_agg
- hll_union
- hll_union_agg
- max
- max_by
- min
- multi_distinct_sum
- multi_distinct_count
- percentile_approx
- percentile_cont
- percentile_disc
- retention
- stddev
- stddev_samp
- sum
- variance, variance_pop, var_pop
- var_samp
- window_funnel
- Array Functions
- array_agg
- array_append
- array_avg
- array_concat
- array_contains
- array_contains_all
- array_cum_sum
- array_difference
- array_distinct
- array_filter
- array_intersect
- array_join
- array_length
- array_map
- array_max
- array_min
- array_position
- array_remove
- array_slice
- array_sort
- array_sortby
- array_sum
- arrays_overlap
- array_to_bitmap
- cardinality
- element_at
- reverse
- unnest
- Bit Functions
- Bitmap Functions
- base64_to_bitmap
- bitmap_agg
- bitmap_and
- bitmap_andnot
- bitmap_contains
- bitmap_count
- bitmap_from_string
- bitmap_empty
- bitmap_has_any
- bitmap_hash
- bitmap_intersect
- bitmap_max
- bitmap_min
- bitmap_or
- bitmap_remove
- bitmap_to_array
- bitmap_to_base64
- bitmap_to_string
- bitmap_union
- bitmap_union_count
- bitmap_union_int
- bitmap_xor
- intersect_count
- sub_bitmap
- to_bitmap
- JSON Functions
- Overview of JSON functions and operators
- JSON operators
- JSON constructor functions
- JSON query and processing functions
- Map Functions
- Binary Functions
- Conditional Functions
- Cryptographic Functions
- Date Functions
- add_months
- adddate
- convert_tz
- current_date
- current_time
- current_timestamp
- date
- date_add
- date_format
- date_slice
- date_sub, subdate
- date_trunc
- datediff
- day
- dayname
- dayofmonth
- dayofweek
- dayofyear
- days_add
- days_diff
- days_sub
- from_days
- from_unixtime
- hour
- hours_add
- hours_diff
- hours_sub
- microseconds_add
- microseconds_sub
- minute
- minutes_add
- minutes_diff
- minutes_sub
- month
- monthname
- months_add
- months_diff
- months_sub
- now
- quarter
- second
- seconds_add
- seconds_diff
- seconds_sub
- str_to_date
- str2date
- time_slice
- time_to_sec
- timediff
- timestamp
- timestampadd
- timestampdiff
- to_date
- to_days
- unix_timestamp
- utc_timestamp
- week
- week_iso
- weekofyear
- weeks_add
- weeks_diff
- weeks_sub
- year
- years_add
- years_diff
- years_sub
- Geographic Functions
- Math Functions
- String Functions
- append_trailing_char_if_absent
- ascii
- char
- char_length
- character_length
- concat
- concat_ws
- ends_with
- find_in_set
- group_concat
- hex
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- hex_decode_string
- instr
- lcase
- left
- length
- locate
- lower
- lpad
- ltrim
- money_format
- null_or_empty
- parse_url
- repeat
- replace
- reverse
- right
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- space
- split
- split_part
- starts_with
- strleft
- strright
- substring
- trim
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- unhex
- upper
- Pattern Matching Functions
- Percentile Functions
- Scalar Functions
- Utility Functions
- cast function
- hash function
- System variables
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- SQL Reference
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- Use the debuginfo file for debugging
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cast
Description
Converts a value between the JSON type and SQL type.
Syntax
- Conversion from JSON to SQL
cast(json_expr AS sql_data_type)
- Conversion from SQL to JSON
cast(sql_expr AS JSON)
Parameters
json_expr
: the expression that represents the JSON value you want to convert to an SQL value.sql_data_type
: the SQL data type to which you want to convert the JSON value. Only the STRING, VARCHAR, CHAR, BOOLEAN, TINYINT, SMALLINT, INT, BIGINT, LARGEINT, DOUBLE, and FLOAT data types are supported.sql_expr
: the expression that represents the SQL value you want to convert to a JSON value. This parameter supports all SQL data types that are supported by thesql_data_type
parameter.
Return value
If you use the
cast(json_expr AS sql_data_type)
syntax, the cast function returns a value of the SQL data type that is specified by thesql_data_type
parameter.If you use the
cast(sql_expr AS JSON)
syntax, the cast function returns a JSON value.
Usage notes
Conversion from SQL to JSON
If the SQL value exceeds the precision that is supported by JSON, the cast function returns
NULL
to prevent an arithmetic overflow.If the SQL value is
NULL
, the cast function does not convert the SQL valueNULL
to a JSON value ofNULL
. The return value is still an SQL value ofNULL
.
Conversion from JSON to SQL
The cast function supports only conversions between compatible JSON and SQL data types. For example, you can convert a JSON string to an SQL string.
The cast function does not support conversions between incompatible JSON and SQL data types. For example, if you convert a JSON number to an SQL string, the function returns
NULL
.If an arithmetic overflow occurs, the cast function returns an SQL value of
NULL
.If you convert a JSON value of
NULL
to an SQL value, the function returns an SQL value ofNULL
.If you convert a JSON string to a VARCHAR value, the function returns a VARCHAR value that is not enclosed in double quotation marks (").
Examples
Example 1: Convert a JSON value to an SQL value.
-- Convert a JSON value to an INT value.
mysql> select cast(parse_json('{"a": 1}') -> 'a' as int);
+--------------------------------------------+
| CAST((parse_json('{"a": 1}')->'a') AS INT) |
+--------------------------------------------+
| 1 |
+--------------------------------------------+
-- Convert a JSON string to a VARCHAR value.
mysql> select cast(parse_json('"star"') as varchar);
+---------------------------------------+
| cast(parse_json('"star"') AS VARCHAR) |
+---------------------------------------+
| star |
+---------------------------------------+
-- Convert a JSON object to a VARCHAR value.
mysql> select cast(parse_json('{"star": 1}') as varchar);
+--------------------------------------------+
| cast(parse_json('{"star": 1}') AS VARCHAR) |
+--------------------------------------------+
| {"star": 1} |
+--------------------------------------------+
-- Convert a JSON array to a VARCHAR value.
mysql> select cast(parse_json('[1,2,3]') as varchar);
+----------------------------------------+
| cast(parse_json('[1,2,3]') AS VARCHAR) |
+----------------------------------------+
| [1, 2, 3] |
+----------------------------------------+
Example 2: Convert an SQL value to a JSON value.
-- Convert an INT value to a JSON value.
mysql> select cast(1 as json);
+-----------------+
| cast(1 AS JSON) |
+-----------------+
| 1 |
+-----------------+
-- Convert a VARCHAR value to a JSON value.
mysql> select cast("star" as json);
+----------------------+
| cast('star' AS JSON) |
+----------------------+
| "star" |
+----------------------+
-- Convert a BOOLEAN value to a JSON value.
mysql> select cast(true as json);
+--------------------+
| cast(TRUE AS JSON) |
+--------------------+
| true |
+--------------------+