- 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
loads
loads
provides the results of load jobs. Currently, you can only view the results of Broker Load and INSERT jobs from this view.
The following fields are provided in loads
:
Field | Description |
---|---|
JOB_ID | The unique ID assigned by CelerData to identify the load job. |
LABEL | The label of the load job. |
DATABASE_NAME | The name of the database to which the destination CelerData tables belong. |
STATE | The state of the load job. Valid values:
|
PROGRESS | The progress of the ETL stage and LOADING stage of the load job. |
TYPE | The type of the load job. For Broker Load, the return value is BROKER . For INSERT, the return value is INSERT . |
PRIORITY | The priority of the load job. Valid values: HIGHEST , HIGH , NORMAL , LOW , and LOWEST . |
SCAN_ROWS | The number of data rows that are scanned. |
FILTERED_ROWS | The number of data rows that are filtered out due to inadequate data quality. |
UNSELECTED_ROWS | The number of data rows that are filtered out due to the conditions specified in the WHERE clause. |
SINK_ROWS | The number of data rows that are loaded. |
ETL_INFO | The ETL details of the load job. A non-empty value is returned only for Spark Load. For any other types of load jobs, an empty value is returned. |
TASK_INFO | The task execution details of the load job, such as the timeout and max_filter_ratio settings. |
CREATE_TIME | The time at which the load job was created. Format: yyyy-MM-dd HH:mm:ss . Example: 2023-07-24 14:58:58 . |
ETL_START_TIME | The start time of the ETL stage of the load job. Format: yyyy-MM-dd HH:mm:ss . Example: 2023-07-24 14:58:58 . |
ETL_FINISH_TIME | The end time of the ETL stage of the load job. Format: yyyy-MM-dd HH:mm:ss . Example: 2023-07-24 14:58:58 . |
LOAD_START_TIME | The start time of the LOADING stage of the load job. Format: yyyy-MM-dd HH:mm:ss . Example: 2023-07-24 14:58:58 . |
LOAD_FINISH_TIME | The end time of the LOADING stage of the load job. Format: yyyy-MM-dd HH:mm:ss . Example: 2023-07-24 14:58:58 . |
JOB_DETAILS | The details about the data loaded, such as the number of bytes and the number of files. |
ERROR_MSG | The error message of the load job. If the load job did not encounter any error, NULL is returned. |
TRACKING_URL | The URL from which you can access the unqualified data row samples detected in the load job. You can use the curl or wget command to access the URL and obtain the unqualified data row samples. If no unqualified data is detected, NULL is returned. |
TRACKING_SQL | The SQL statement that can be used to query the tracking log of the load job. A SQL statement is returned only when the load job involves unqualified data rows. If the load job does not involve any unqualified data rows, NULL is returned. |
REJECTED_RECORD_PATH | The path from which you can access all the unqualified data rows that are filtered out in the load job. The number of unqualified data rows logged is determined by the log_rejected_record_num parameter configured in the load job. You can use the wget command to access the path. If the load job does not involve any unqualified data rows, NULL is returned. |
In this article