- 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
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- Data Manipulation
- INSERT
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- CANCEL REFRESH MATERIALIZED VIEW
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- STOP ROUTINE LOAD
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- PAUSE ROUTINE LOAD
- SHOW SNAPSHOT
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- 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
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- 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
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- GROUPING_ID
- HLL_HASH
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- APPROX_COUNT_DISTINCT
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- Array Functions
- ARRAY_CUM_SUM
- ARRAY_MAX
- ARRAY_LENGTH
- ARRAY_REMOVE
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- 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
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- HOURS_DIFF
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- DAY
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- DATE
- CURTIME
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- MONTH
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- STR_TO_JODATIME
- WEEK_ISO
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- TIME_SLICE
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- 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
map_values
Description
Returns an array of all the values in the specified map.
Syntax
map_values(any_map)
Parameters
any_map
: the MAP value from which you want to retrieve values.
Return value
The return value is in the format of array<valueType>
. The element type in the array matches the value type in the map.
If the input is NULL, NULL is returned. If a key or value in the MAP value is NULL, NULL is processed as a normal value and contained in the result.
Examples
Query MAP data from a CelerData native table
CelerData supports defining MAP columns when you create a table. This example uses table test_map
, which contains the following data:
CREATE TABLE test_map(
col_int INT,
col_map MAP<VARCHAR(50),INT>
)
DUPLICATE KEY(col_int);
INSERT INTO test_map VALUES
(1,map{"a":1,"b":2}),
(2,map{"c":3}),
(3,map{"d":4,"e":5});
SELECT * FROM test_map ORDER BY col_int;
+---------+---------------+
| col_int | col_map |
+---------+---------------+
| 1 | {"a":1,"b":2} |
| 2 | {"c":3} |
| 3 | {"d":4,"e":5} |
+---------+---------------+
3 rows in set (0.05 sec)
Obtain all the values from each row of the col_map
column.
select map_values(col_map) from test_map order by col_int;
+---------------------+
| map_values(col_map) |
+---------------------+
| [1,2] |
| [3] |
| [4,5] |
+---------------------+
3 rows in set (0.04 sec)
Query MAP data from data lake
This example uses Hive table hive_map
, which contains the following data:
SELECT * FROM hive_map ORDER BY col_int;
+---------+---------------+
| col_int | col_map |
+---------+---------------+
| 1 | {"a":1,"b":2} |
| 2 | {"c":3} |
| 3 | {"d":4,"e":5} |
+---------+---------------+
After a Hive catalog is created in your CelerData cloud account, you can use this catalog and the map_values() function to obtain all the values from each row of the col_map
column.
select map_values(col_map) from hive_map order by col_int;
+---------------------+
| map_values(col_map) |
+---------------------+
| [1,2] |
| [3] |
| [4,5] |
+---------------------+
3 rows in set (0.04 sec)