- 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 KafkaĀ®
- Bulk load using Apache Sparkā¢
- Load data using INSERT
- Load data using Stream Load transaction interface
- Realtime synchronization from MySQL
- Continuously load data from Apache FlinkĀ®
- 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
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- SHOW SQLBLACKLIST
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- UNINSTALL PLUGIN
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- 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
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- seconds_add
- seconds_diff
- seconds_sub
- str_to_date
- str2date
- time_slice
- time_to_sec
- timediff
- timestamp
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- to_date
- to_days
- unix_timestamp
- utc_timestamp
- week
- week_iso
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- 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
CREATE EXTERNAL CATALOG
Description
Creates an external catalog. You can use external catalogs to query data in external data sources without loading data into StarRocks or creating external tables. Currently, you can create the following types of external catalogs:
- Hive catalog: used for querying data from Apache Hiveā¢.
- Iceberg catalog: used for querying data from Apache Iceberg.
- Hudi catalog: used for querying data from Apache Hudi.
- Delta Lake catalog: used to query data from Delta Lake.
- JDBC catalog: used to query data from JDBC-compatible data sources.
This statement requires no privileges for execution. Before you create external catalogs, configure your StarRocks cluster to meet the requirements of the data storage system (such as Amazon S3), metadata service (such as Hive metastore), and authenticating service (such as Kerberos) of external data sources. For more information, see the "Before you begin" section in each external catalog topic.
Syntax
CREATE EXTERNAL CATALOG <catalog_name>
[COMMENT <comment>]
PROPERTIES ("key"="value", ...)
Parameters
Parameter | Required | Description |
---|---|---|
catalog_name | Yes | The name of the external catalog. The naming conventions are as follows:
|
comment | No | The description of the external catalog. |
PROPERTIES | Yes | The properties of an external catalog. Configure properties based on the types of external catalogs. For more information, see Hive catalog, Iceberg catalog, Hudi catalog, Delta Lake catalog, and JDBC Catalog. |
Examples
Example 1: Create a Hive catalog named hive_metastore_catalog
. The corresponding Hive cluster uses Hive metastore as its metadata service.
CREATE EXTERNAL CATALOG hive_metastore_catalog
PROPERTIES(
"type"="hive",
"hive.metastore.uris"="thrift://x.x.x.x:9083"
);
Example 2: Create a Hive catalog named hive_glue_catalog
. The corresponding Hive cluster uses AWS Glue as its metadata service.
CREATE EXTERNAL CATALOG hive_glue_catalog
PROPERTIES(
"type"="hive",
"hive.metastore.type"="glue",
"aws.hive.metastore.glue.aws-access-key"="xxxxxx",
"aws.hive.metastore.glue.aws-secret-key"="xxxxxxxxxxxx",
"aws.hive.metastore.glue.endpoint"="https://glue.x-x-x.amazonaws.com"
);
Example 3: Create an Iceberg catalog named iceberg_metastore_catalog
. The corresponding Iceberg cluster uses Hive metastore as its metadata service.
CREATE EXTERNAL CATALOG iceberg_metastore_catalog
PROPERTIES(
"type"="iceberg",
"iceberg.catalog.type"="hive",
"iceberg.catalog.hive.metastore.uris"="thrift://x.x.x.x:9083"
);
Example 4: Create an Iceberg catalog named iceberg_glue_catalog
. The corresponding Iceberg cluster uses AWS Glue as its metadata service.
CREATE EXTERNAL CATALOG iceberg_glue_catalog
PROPERTIES(
"type"="iceberg",
"iceberg.catalog.type"="glue",
"aws.hive.metastore.glue.aws-access-key"="xxxxx",
"aws.hive.metastore.glue.aws-secret-key"="xxxxxxxxxxxx",
"aws.hive.metastore.glue.endpoint"="https://glue.x-x-x.amazonaws.com"
);
Example 5: Create a Hudi catalog named hudi_metastore_catalog
. The corresponding Hudi cluster uses Hive metastore as its metadata service.
CREATE EXTERNAL CATALOG hudi_metastore_catalog
PROPERTIES(
"type"="hudi",
"hive.metastore.uris"="thrift://x.x.x.x:9083"
);
Example 6: Create a Hudi catalog named hudi_glue_catalog
. The corresponding Hudi cluster uses AWS Glue as its metadata service.
CREATE EXTERNAL CATALOG hudi_glue_catalog
PROPERTIES(
"type"="hudi",
"hive.metastore.type"="glue",
"aws.hive.metastore.glue.aws-access-key"="xxxxxx",
"aws.hive.metastore.glue.aws-secret-key"="xxxxxxxxxxxx",
"aws.hive.metastore.glue.endpoint"="https://glue.x-x-x.amazonaws.com"
);
Example 7: Create a Delta Lake catalog named delta_metastore_catalog
. The corresponding Delta Lake service uses Hive metastore as its metadata service.
CREATE EXTERNAL CATALOG delta_metastore_catalog
PROPERTIES(
"type"="deltalake",
"hive.metastore.uris"="thrift://x.x.x.x:9083"
);
Example 8: Create a Delta Lake catalog named delta_glue_catalog
. The corresponding Delta Lake service uses AWS Glue as its metadata service.
CREATE EXTERNAL CATALOG delta_glue_catalog
PROPERTIES(
"type"="deltalake",
"hive.metastore.type"="glue",
"aws.hive.metastore.glue.aws-access-key"="xxxxxx",
"aws.hive.metastore.glue.aws-secret-key"="xxxxxxxxxxxx",
"aws.hive.metastore.glue.endpoint"="https://glue.x-x-x.amazonaws.com"
);
References
- To view all catalogs in your StarRocks cluster, see SHOW CATALOGS.
- To view the creation statement of an external catalog, see SHOW CREATE CATALOG.
- To delete an external catalog from your StarRocks cluster, see DROP CATALOG.