- Release Notes
- Get Started
- Clusters
- Cloud Settings
- Table Type
- Query Data Lakes
- Integration
- Query Acceleration
- Data Loading
- Concepts
- Batch load data from Amazon S3
- Batch load data from Azure cloud storage
- Load data from a local file system
- Load data from Confluent Cloud
- Load data from Amazon MSK
- Load data from Amazon Kinesis
- Data Unloading
- Data Backup
- Security
- Console Access Control
- Data Access Control
- Application keys
- Service accounts
- Use SSL connection
- Alarm
- Usage and Billing
- Organizations and Accounts
- Reference
- Amazon Web Services (AWS)
- Microsoft Azure
- SQL Reference
- Keywords
- ALL statements
- 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 RESOURCE GROUP
- ALTER SYSTEM
- CANCEL DECOMMISSION
- CREATE FILE
- CREATE RESOURCE GROUP
- DROP FILE
- DROP RESOURCE GROUP
- EXPLAIN
- INSTALL PLUGIN
- SET
- SHOW BACKENDS
- SHOW BROKER
- SHOW COMPUTE NODES
- SHOW FRONTENDS
- SHOW FULL COLUMNS
- SHOW INDEX
- SHOW PLUGINS
- SHOW PROCESSLIST
- SHOW RESOURCE GROUP
- SHOW TABLE STATUS
- SHOW FILE
- SHOW VARIABLES
- UNINSTALL PLUGIN
- DDL
- ALTER DATABASE
- ALTER MATERIALIZED VIEW
- ALTER TABLE
- ALTER VIEW
- 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 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 TABLE
- DROP VIEW
- DROP FUNCTION
- KILL ANALYZE
- RECOVER
- REFRESH EXTERNAL TABLE
- RESTORE
- SET CATALOG
- SHOW ANALYZE JOB
- SHOW ANALYZE STATUS
- SHOW META
- 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
- RESUME ROUTINE LOAD
- REFRESH MATERIALIZED VIEW
- SELECT
- SHOW ALTER
- 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 VIEW
- SHOW PARTITIONS
- SHOW REPOSITORIES
- SHOW RESTORE
- SHOW ROUTINE LOAD
- SHOW ROUTINE LOAD TASK
- SHOW SNAPSHOT
- SHOW TABLES
- SHOW TABLET
- SHOW TRANSACTION
- STOP ROUTINE LOAD
- STREAM LOAD
- SUBMIT TASK
- UPDATE
- Auxiliary Commands
- Data Types
- Keywords
- SQL Functions
- Function list
- Java UDFs
- Window functions
- Lambda expression
- Date Functions
- add_months
- adddate
- convert_tz
- current_date
- current_time
- current_timestamp
- date
- date_add
- date_diff
- date_format
- date_slice
- date_sub, subdate
- date_trunc
- datediff
- day
- dayofweek_iso
- dayname
- dayofmonth
- dayofweek
- dayofyear
- days_add
- days_diff
- days_sub
- from_days
- from_unixtime
- hour
- hours_add
- hours_diff
- hours_sub
- jodatime_format
- last_day
- makedate
- microseconds_add
- microseconds_sub
- minute
- minutes_add
- minutes_diff
- minutes_sub
- month
- monthname
- months_add
- months_diff
- months_sub
- next_day
- now
- previous_day
- quarter
- second
- seconds_add
- seconds_diff
- seconds_sub
- str_to_date
- str_to_jodatime
- str2date
- time_slice
- time_to_sec
- timediff
- timestamp
- timestampadd
- timestampdiff
- to_date
- to_days
- to_iso8601
- to_tera_date
- to_tera_timestamp
- unix_timestamp
- utc_timestamp
- week
- week_iso
- weekofyear
- weeks_add
- weeks_diff
- weeks_sub
- year
- years_add
- years_diff
- years_sub
- Aggregate Functions
- any_value
- approx_count_distinct
- array_agg
- avg
- bitmap
- bitmap_agg
- count
- count_if
- corr
- covar_pop
- covar_samp
- group_concat
- grouping
- grouping_id
- hll_empty
- hll_hash
- hll_raw_agg
- hll_union
- hll_union_agg
- max
- max_by
- min
- min_by
- 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
- Geographic 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
- substring_index
- starts_with
- strleft
- strright
- str_to_map
- substring
- trim
- ucase
- unhex
- upper
- url_decode
- url_encode
- Pattern Matching Functions
- JSON Functions
- Overview of JSON functions and operators
- JSON operators
- JSON constructor functions
- JSON query and processing functions
- Bit Functions
- Bitmap Functions
- Array Functions
- all_match
- any_match
- array_agg
- array_append
- array_avg
- array_concat
- array_contains
- array_contains_all
- array_cum_sum
- array_difference
- array_distinct
- array_filter
- array_generate
- 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
- Map Functions
- Binary Functions
- cast function
- hash function
- Cryptographic Functions
- Math Functions
- Pattern Matching Functions
- Percentile Functions
- Scalar Functions
- Struct Functions
- Table Functions
- Utility Functions
- AUTO_INCREMENT
- Generated columns
- System variables
- System limits
- 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
- pipe_files
- pipes
- referential_constraints
- routines
- schema_privileges
- schemata
- session_variables
- statistics
- table_constraints
- table_privileges
- tables
- tables_config
- task_runs
- tasks
- triggers
- user_privileges
- views
- System Metadatabase
- API
- Overview
- Actions
- Clusters
- Create and Manage Clusters
- Query Clusters
- Identity and Access Management
- Organization and Account
- Usage and Billing
- Clusters
- Terraform Provider
- Run scripts
CREATE ANALYZE
Description
Customizes an automatic collection task for collecting CBO statistics.
By default, CelerData automatically collects full statistics of a table. It checks for any data updates every 5 minutes. If data change is detected, data collection will be automatically triggered. If you do not want to use automatic full collection, you can set the FE configuration item enable_collect_full_statistic
to false
and customize a collection task.
Before creating a custom automatic collection task, you must disable automatic full collection (enable_collect_full_statistic = false
). Otherwise, custom tasks cannot take effect.
Syntax
-- Automatically collect stats of all databases.
CREATE ANALYZE [FULL|SAMPLE] ALL PROPERTIES (property [,property]);
-- Automatically collect stats of all tables in a database.
CREATE ANALYZE [FULL|SAMPLE] DATABASE db_name
PROPERTIES (property [,property]);
-- Automatically collect stats of specified columns in a table.
CREATE ANALYZE [FULL|SAMPLE] TABLE tbl_name (col_name [,col_name])
PROPERTIES (property [,property]);
Parameter description
Collection type
- FULL: indicates full collection.
- SAMPLE: indicates sampled collection.
- If no collection type is specified, full collection is used by default.
col_name
: columns from which to collect statistics. Separate multiple columns with commas (;). If this parameter is not specified, the entire table is collected.PROPERTIES
: custom parameters. IfPROPERTIES
is not specified, the default settings infe.conf
are used. The properties that are actually used can be viewed via theProperties
column in the output of SHOW ANALYZE JOB.
PROPERTIES | Type | Default value | Description |
---|---|---|---|
statistic_auto_collect_ratio | FLOAT | 0.8 | The threshold for determining whether the statistics for automatic collection are healthy. If the statistics health is below this threshold, automatic collection is triggered. |
statistics_max_full_collect_data_size | INT | 100 | The size of the largest partition for automatic collection to collect data. Unit: GB.If a partition exceeds this value, full collection is discarded and sampled collection is performed instead. |
statistic_sample_collect_rows | INT | 200000 | The minimum number of rows to collect.If the parameter value exceeds the actual number of rows in your table, full collection is performed. |
Examples
Example 1: Automatic full collection
-- Automatically collect full stats of all databases.
CREATE ANALYZE ALL;
-- Automatically collect full stats of a database.
CREATE ANALYZE DATABASE db_name;
-- Automatically collect full stats of all tables in a database.
CREATE ANALYZE FULL DATABASE db_name;
-- Automatically collect full stats of specified columns in a table.
CREATE ANALYZE TABLE tbl_name(c1, c2, c3);
Example 2: Automatic sampled collection
-- Automatically collect stats of all tables in a database using default settings.
CREATE ANALYZE SAMPLE DATABASE db_name;
-- Automatically collect stats of specified columns in a table, with statistics health and the number of rows to collect specified.
CREATE ANALYZE SAMPLE TABLE tbl_name(c1, c2, c3) PROPERTIES(
"statistic_auto_collect_ratio" = "0.5",
"statistic_sample_collect_rows" = "1000000"
);
References
SHOW ANALYZE JOB: view the status of a custom collection task.
DROP ANALYZE: delete a custom collection task.
KILL ANALYZE: cancel a custom collection task that is running.
For more information about collecting statistics for CBO, see Gather statistics for CBO.