- 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
- CANCEL DECOMMISSION
- CREATE FILE
- CREATE RESOURCE GROUP
- DELETE SQLBLACKLIST
- DROP FILE
- DROP RESOURCE GROUP
- EXPLAIN
- INSTALL PLUGIN
- KILL
- SET
- SHOW BACKENDS
- SHOW BROKER
- SHOW COMPUTE NODES
- SHOW FILE
- SHOW FRONTENDS
- SHOW FULL COLUMNS
- SHOW INDEX
- SHOW PLUGINS
- SHOW PROC
- SHOW PROCESSLIST
- SHOW RESOURCE GROUP
- SHOW SQLBLACKLIST
- SHOW TABLE STATUS
- SHOW VARIABLES
- UNINSTALL PLUGIN
- DDL
- ALTER DATABASE
- ALTER MATERIALIZED VIEW
- ALTER TABLE
- ALTER VIEW
- ALTER RESOURCE
- ANALYZE TABLE
- BACKUP
- CANCEL ALTER TABLE
- CANCEL BACKUP
- 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
- REFRESH EXTERNAL TABLE
- RESTORE
- SET CATALOG
- SHOW ANALYZE JOB
- SHOW ANALYZE STATUS
- 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
- hex_decode_binary
- hex_decode_string
- instr
- lcase
- left
- length
- locate
- lower
- lpad
- ltrim
- money_format
- null_or_empty
- parse_url
- repeat
- replace
- reverse
- right
- rpad
- rtrim
- space
- split
- split_part
- starts_with
- strleft
- strright
- substring
- trim
- ucase
- unhex
- upper
- Pattern Matching Functions
- Percentile Functions
- Scalar Functions
- Utility Functions
- cast function
- hash function
- System variables
- User-defined variables
- Error code
- System limits
- SQL Reference
- FAQ
- Benchmark
- Developers
- Contribute to StarRocks
- Code Style Guides
- Use the debuginfo file for debugging
- Development Environment
- Trace Tools
- Integration
Overview of JSON functions and operators
This topic provides an overview of the JSON constructor functions, query functions, and processing functions, operators, and path expressions that are supported by StarRocks.
JSON constructor functions
JSON constructor functions are used to construct JSON data, such as JSON objects and JSON arrays.
Function | Description | Example | Return value |
---|---|---|---|
json_object | Converts one or more key-value pairs to a JSON object that consists of the key-value pairs, which are sorted by key in dictionary order. | SELECT JSON_OBJECT(' Daniel Smith', 26, 'Lily Smith', 25); | {"Daniel Smith": 26, "Lily Smith": 25} |
json_array | Converts each element of an SQL array to a JSON value and returns a JSON array that consists of those JSON values. | SELECT JSON_ARRAY(1, 2, 3); | [1,2,3] |
parse_json | Converts a string to a JSON value. | SELECT PARSE_JSON('{"a": 1}'); | {"a": 1} |
JSON query functions and processing functions
JSON query functions and processing functions are used to query and process JSON data. For example, you can use a path expression to locate an element in a JSON object.
Function | Description | Example | Return value |
---|---|---|---|
arrow function | Queries the element that can be located by a path expression in a JSON object. | SELECT parse_json('{"a": {"b": 1}}') -> '$.a.b'; | 1 |
cast | Converts data between a JSON data type and an SQL data type. | SELECT CAST(1 AS JSON); | 1 |
get_json_double | Analyzes and gets the floating point value from a specified path in a JSON string. | SELECT get_json_double('{"k1":1.3, "k2":"2"}', "$.k1"); | 1.3 |
get_json_int | Analyzes and gets the integer value from a specified path in a JSON string. | SELECT get_json_int('{"k1":1, "k2":"2"}', "$.k1"); | 1 |
get_json_string | Analyzes and gets the strings from a specified path in a JSON string. | SELECT get_json_string('{"k1":"v1", "k2":"v2"}', "$.k1"); | v1 |
json_query | Queries the value of an element that can be located by a path expression in a JSON object. | SELECT JSON_QUERY('{"a": 1}', '$.a'); | 1 |
json_each | Expands the top-level elements of a JSON object into key-value pairs. | SELECT * FROM tj_test, LATERAL JSON_EACH(j); |
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json_exists | Checks whether a JSON object contains an element that can be located by a path expression. If the element exists, this function returns 1. If the element does not exist, the function returns 0. | SELECT JSON_EXISTS('{"a": 1}', '$.a'); | 1 |
json_keys | Returns the top-level keys from a JSON object as a JSON array, or, if a path is specified, the top-level keys from the path. | SELECT JSON_KEYS('{"a": 1, "b": 2, "c": 3}'); | ["a", "b", "c"] |
json_length | Returns the length of a JSON document. | SELECT json_length('{"Name": "Alice"}'); | 1 |
json_string | Converts the JSON object to a JSON string | SELECT json_string(parse_json('{"Name": "Alice"}')); | {"Name": "Alice"} |
JSON operators
StarRocks supports the following JSON comparison operators: <
, <=
, >
, >=
, =
, and !=
. You can use these operators to query JSON data. However, it does not allow you to use IN
to query JSON data. For more information about JSON operators, see JSON operators.
JSON path expressions
You can use a JSON path expression to query an element in a JSON object. JSON path expressions are of the STRING data type. In most cases, they are used with various JSON functions, such as JSON_QUERY. In StarRocks, JSON path expressions do not completely comply with the SQL/JSON path specifications. For information about the JSON path syntax that is supported in StarRocks, see the following table, in which the following JSON object is used as an example.
{
"people": [{
"name": "Daniel",
"surname": "Smith"
}, {
"name": "Lily",
"surname": "Smith",
"active": true
}]
}
JSON path symbol | Description | JSON path example | Return value |
---|---|---|---|
$ | Denotes a root JSON object. | '$' | { "people": [ { "name": "Daniel", "surname": "Smith" }, { "name": "Lily", "surname": Smith, "active": true } ] } |
. | Denotes a child JSON object. | ' $.people' | [ { "name": "Daniel", "surname": "Smith" }, { "name": "Lily", "surname": Smith, "active": true } ] |
[] | Denotes one or more array indexes. [n] denotes the nth element in an array. Indexes start from 0. StarRocks 2.5 supports querying multi-dimensional arrays, for example, ["Lucy", "Daniel"], ["James", "Smith"] . To query the "Lucy" element, you can use $.people[0][0] . | '$.people [0]' | { "name": "Daniel", "surname": "Smith" } |
[*] | Denotes all elements in an array. | '$.people[*].name' | ["Daniel", "Lily"] |
[start: end] | Denotes a subset of elements from an array. The subset is specified by the [start, end) interval, which excludes the element that is denoted by the end index. | '$.people[0: 1].name' | ["Daniel"] |