Teradata
Important Capabilities
Capability | Status | Notes |
---|---|---|
Asset Containers | ✅ | Enabled by default |
Column-level Lineage | ✅ | Optionally enabled via configuration |
Data Profiling | ✅ | Optionally enabled via configuration |
Dataset Usage | ✅ | Optionally enabled via configuration |
Detect Deleted Entities | ✅ | Optionally enabled via configuration |
Domains | ✅ | Enabled by default |
Platform Instance | ✅ | Enabled by default |
Table-Level Lineage | ✅ | Optionally enabled via configuration |
This plugin extracts the following:
- Metadata for databases, schemas, views, and tables
- Column types associated with each table
- Table, row, and column statistics via optional SQL profiling
Prerequisites
Create a user which has access to the database you want to ingest.
CREATE USER datahub FROM <database> AS PASSWORD = <password> PERM = 20000000;
Create a user with the following privileges:
GRANT SELECT ON dbc.columns TO datahub;
GRANT SELECT ON dbc.databases TO datahub;
GRANT SELECT ON dbc.tables TO datahub;
GRANT SELECT ON DBC.All_RI_ChildrenV TO datahub;
GRANT SELECT ON DBC.ColumnsV TO datahub;
GRANT SELECT ON DBC.IndicesV TO datahub;
GRANT SELECT ON dbc.TableTextV TO datahub;
GRANT SELECT ON dbc.TablesV TO datahub;
GRANT SELECT ON dbc.dbqlogtbl TO datahub; -- if lineage or usage extraction is enabledIf you want to run profiling, you need to grant select permission on all the tables you want to profile.
If lineage or usage extraction is enabled, please, check if query logging is enabled and it is set to size which will fit for your queries (the default query text size Teradata captures is max 200 chars) An example how you can set it for all users:
```sql
REPLACE QUERY LOGGING LIMIT SQLTEXT=2000 ON ALL;
```See more here about query logging: https://docs.teradata.com/r/Teradata-VantageCloud-Lake/Database-Reference/Database-Administration/Tracking-Query-Behavior-with-Database-Query-Logging-Operational-DBAs
CLI based Ingestion
Install the Plugin
pip install 'acryl-datahub[teradata]'
Starter Recipe
Check out the following recipe to get started with ingestion! See below for full configuration options.
For general pointers on writing and running a recipe, see our main recipe guide.
pipeline_name: my-teradata-ingestion-pipeline
source:
type: teradata
config:
host_port: "myteradatainstance.teradata.com:1025"
username: myuser
password: mypassword
#database_pattern:
# allow:
# - "my_database"
# ignoreCase: true
include_table_lineage: true
include_usage_statistics: true
stateful_ingestion:
enabled: true
sink:
Config Details
- Options
- Schema
Note that a .
is used to denote nested fields in the YAML recipe.
Field | Description |
---|---|
host_port ✅ string | host URL |
bucket_duration Enum | Size of the time window to aggregate usage stats. Default: DAY |
convert_urns_to_lowercase boolean | Whether to convert dataset urns to lowercase. Default: False |
database string | database (catalog) |
database_alias string | [Deprecated] Alias to apply to database when ingesting. |
default_db string | The default database to use for unqualified table names |
end_time string(date-time) | Latest date of lineage/usage to consider. Default: Current time in UTC |
include_table_lineage boolean | Whether to include table lineage in the ingestion. This requires to have the table lineage feature enabled. Default: False |
include_table_location_lineage boolean | If the source supports it, include table lineage to the underlying storage location. Default: True |
include_tables boolean | Whether tables should be ingested. Default: True |
include_usage_statistics boolean | Generate usage statistic. Default: False |
include_view_column_lineage boolean | Populates column-level lineage for view->view and table->view lineage using DataHub's sql parser. Requires include_view_lineage to be enabled. Default: True |
include_view_lineage boolean | Populates view->view and table->view lineage using DataHub's sql parser. Default: True |
include_views boolean | Whether views should be ingested. Default: True |
incremental_lineage boolean | When enabled, emits lineage as incremental to existing lineage already in DataHub. When disabled, re-states lineage on each run. Default: False |
options object | Any options specified here will be passed to SQLAlchemy.create_engine as kwargs. To set connection arguments in the URL, specify them under connect_args . |
password string(password) | password |
platform_instance string | The instance of the platform that all assets produced by this recipe belong to |
scheme string | database scheme Default: teradatasql |
sql_parser_use_external_process boolean | When enabled, sql parser will run in isolated in a separate process. This can affect processing time but can protect from sql parser's mem leak. Default: False |
sqlalchemy_uri string | URI of database to connect to. See https://docs.sqlalchemy.org/en/14/core/engines.html#database-urls. Takes precedence over other connection parameters. |
start_time string(date-time) | Earliest date of lineage/usage to consider. Default: Last full day in UTC (or hour, depending on bucket_duration ). You can also specify relative time with respect to end_time such as '-7 days' Or '-7d'. |
use_file_backed_cache boolean | Whether to use a file backed cache for the view definitions. Default: True |
username string | username |
env string | The environment that all assets produced by this connector belong to Default: PROD |
database_pattern AllowDenyPattern | Regex patterns for databases to filter in ingestion. Default: {'allow': ['.*'], 'deny': ['dbc'], 'ignoreCase': T... |
database_pattern.allow array(string) | |
database_pattern.deny array(string) | |
database_pattern.ignoreCase boolean | Whether to ignore case sensitivity during pattern matching. Default: True |
domain map(str,AllowDenyPattern) | A class to store allow deny regexes |
domain. key .allowarray(string) | |
domain. key .denyarray(string) | |
domain. key .ignoreCaseboolean | Whether to ignore case sensitivity during pattern matching. Default: True |
profile_pattern AllowDenyPattern | Regex patterns to filter tables (or specific columns) for profiling during ingestion. Note that only tables allowed by the table_pattern will be considered. Default: {'allow': ['.*'], 'deny': [], 'ignoreCase': True} |
profile_pattern.allow array(string) | |
profile_pattern.deny array(string) | |
profile_pattern.ignoreCase boolean | Whether to ignore case sensitivity during pattern matching. Default: True |
schema_pattern AllowDenyPattern | Deprecated in favour of database_pattern. Default: {'allow': ['.*'], 'deny': [], 'ignoreCase': True} |
schema_pattern.allow array(string) | |
schema_pattern.deny array(string) | |
schema_pattern.ignoreCase boolean | Whether to ignore case sensitivity during pattern matching. Default: True |
table_pattern AllowDenyPattern | Regex patterns for tables to filter in ingestion. Specify regex to match the entire table name in database.schema.table format. e.g. to match all tables starting with customer in Customer database and public schema, use the regex 'Customer.public.customer.*' Default: {'allow': ['.*'], 'deny': [], 'ignoreCase': True} |
table_pattern.allow array(string) | |
table_pattern.deny array(string) | |
table_pattern.ignoreCase boolean | Whether to ignore case sensitivity during pattern matching. Default: True |
usage BaseUsageConfig | The usage config to use when generating usage statistics Default: {'bucket_duration': 'DAY', 'end_time': '2023-10-29... |
usage.bucket_duration Enum | Size of the time window to aggregate usage stats. Default: DAY |
usage.end_time string(date-time) | Latest date of lineage/usage to consider. Default: Current time in UTC |
usage.format_sql_queries boolean | Whether to format sql queries Default: False |
usage.include_operational_stats boolean | Whether to display operational stats. Default: True |
usage.include_read_operational_stats boolean | Whether to report read operational stats. Experimental. Default: False |
usage.include_top_n_queries boolean | Whether to ingest the top_n_queries. Default: True |
usage.start_time string(date-time) | Earliest date of lineage/usage to consider. Default: Last full day in UTC (or hour, depending on bucket_duration ). You can also specify relative time with respect to end_time such as '-7 days' Or '-7d'. |
usage.top_n_queries integer | Number of top queries to save to each table. Default: 10 |
usage.user_email_pattern AllowDenyPattern | regex patterns for user emails to filter in usage. Default: {'allow': ['.*'], 'deny': [], 'ignoreCase': True} |
usage.user_email_pattern.allow array(string) | |
usage.user_email_pattern.deny array(string) | |
usage.user_email_pattern.ignoreCase boolean | Whether to ignore case sensitivity during pattern matching. Default: True |
view_pattern AllowDenyPattern | Regex patterns for views to filter in ingestion. Note: Defaults to table_pattern if not specified. Specify regex to match the entire view name in database.schema.view format. e.g. to match all views starting with customer in Customer database and public schema, use the regex 'Customer.public.customer.*' Default: {'allow': ['.*'], 'deny': [], 'ignoreCase': True} |
view_pattern.allow array(string) | |
view_pattern.deny array(string) | |
view_pattern.ignoreCase boolean | Whether to ignore case sensitivity during pattern matching. Default: True |
profiling GEProfilingConfig | Default: {'enabled': False, 'operation_config': {'lower_fre... |
profiling.catch_exceptions boolean | Default: True |
profiling.enabled boolean | Whether profiling should be done. Default: False |
profiling.field_sample_values_limit integer | Upper limit for number of sample values to collect for all columns. Default: 20 |
profiling.include_field_distinct_count boolean | Whether to profile for the number of distinct values for each column. Default: True |
profiling.include_field_distinct_value_frequencies boolean | Whether to profile for distinct value frequencies. Default: False |
profiling.include_field_histogram boolean | Whether to profile for the histogram for numeric fields. Default: False |
profiling.include_field_max_value boolean | Whether to profile for the max value of numeric columns. Default: True |
profiling.include_field_mean_value boolean | Whether to profile for the mean value of numeric columns. Default: True |
profiling.include_field_median_value boolean | Whether to profile for the median value of numeric columns. Default: True |
profiling.include_field_min_value boolean | Whether to profile for the min value of numeric columns. Default: True |
profiling.include_field_null_count boolean | Whether to profile for the number of nulls for each column. Default: True |
profiling.include_field_quantiles boolean | Whether to profile for the quantiles of numeric columns. Default: False |
profiling.include_field_sample_values boolean | Whether to profile for the sample values for all columns. Default: True |
profiling.include_field_stddev_value boolean | Whether to profile for the standard deviation of numeric columns. Default: True |
profiling.limit integer | Max number of documents to profile. By default, profiles all documents. |
profiling.max_number_of_fields_to_profile integer | A positive integer that specifies the maximum number of columns to profile for any table. None implies all columns. The cost of profiling goes up significantly as the number of columns to profile goes up. |
profiling.max_workers integer | Number of worker threads to use for profiling. Set to 1 to disable. Default: 20 |
profiling.offset integer | Offset in documents to profile. By default, uses no offset. |
profiling.partition_datetime string(date-time) | If specified, profile only the partition which matches this datetime. If not specified, profile the latest partition. Only Bigquery supports this. |
profiling.partition_profiling_enabled boolean | Whether to profile partitioned tables. Only BigQuery supports this. If enabled, latest partition data is used for profiling. Default: True |
profiling.profile_if_updated_since_days number | Profile table only if it has been updated since these many number of days. If set to null , no constraint of last modified time for tables to profile. Supported only in snowflake and BigQuery . |
profiling.profile_table_level_only boolean | Whether to perform profiling at table-level only, or include column-level profiling as well. Default: False |
profiling.profile_table_row_count_estimate_only boolean | Use an approximate query for row count. This will be much faster but slightly less accurate. Only supported for Postgres and MySQL. Default: False |
profiling.profile_table_row_limit integer | Profile tables only if their row count is less then specified count. If set to null , no limit on the row count of tables to profile. Supported only in snowflake and BigQuery Default: 5000000 |
profiling.profile_table_size_limit integer | Profile tables only if their size is less then specified GBs. If set to null , no limit on the size of tables to profile. Supported only in snowflake and BigQuery Default: 5 |
profiling.query_combiner_enabled boolean | This feature is still experimental and can be disabled if it causes issues. Reduces the total number of queries issued and speeds up profiling by dynamically combining SQL queries where possible. Default: True |
profiling.report_dropped_profiles boolean | Whether to report datasets or dataset columns which were not profiled. Set to True for debugging purposes. Default: False |
profiling.sample_size integer | Number of rows to be sampled from table for column level profiling.Applicable only if use_sampling is set to True. Default: 10000 |
profiling.turn_off_expensive_profiling_metrics boolean | Whether to turn off expensive profiling or not. This turns off profiling for quantiles, distinct_value_frequencies, histogram & sample_values. This also limits maximum number of fields being profiled to 10. Default: False |
profiling.use_sampling boolean | Whether to profile column level stats on sample of table. Only BigQuery and Snowflake support this. If enabled, profiling is done on rows sampled from table. Sampling is not done for smaller tables. Default: True |
profiling.operation_config OperationConfig | Experimental feature. To specify operation configs. |
profiling.operation_config.lower_freq_profile_enabled boolean | Whether to do profiling at lower freq or not. This does not do any scheduling just adds additional checks to when not to run profiling. Default: False |
profiling.operation_config.profile_date_of_month integer | Number between 1 to 31 for date of month (both inclusive). If not specified, defaults to Nothing and this field does not take affect. |
profiling.operation_config.profile_day_of_week integer | Number between 0 to 6 for day of week (both inclusive). 0 is Monday and 6 is Sunday. If not specified, defaults to Nothing and this field does not take affect. |
stateful_ingestion StatefulStaleMetadataRemovalConfig | Base specialized config for Stateful Ingestion with stale metadata removal capability. |
stateful_ingestion.enabled boolean | The type of the ingestion state provider registered with datahub. Default: False |
stateful_ingestion.remove_stale_metadata boolean | Soft-deletes the entities present in the last successful run but missing in the current run with stateful_ingestion enabled. Default: True |
The JSONSchema for this configuration is inlined below.
{
"title": "TeradataConfig",
"description": "Base configuration class for stateful ingestion for source configs to inherit from.",
"type": "object",
"properties": {
"bucket_duration": {
"description": "Size of the time window to aggregate usage stats.",
"default": "DAY",
"allOf": [
{
"$ref": "#/definitions/BucketDuration"
}
]
},
"end_time": {
"title": "End Time",
"description": "Latest date of lineage/usage to consider. Default: Current time in UTC",
"type": "string",
"format": "date-time"
},
"start_time": {
"title": "Start Time",
"description": "Earliest date of lineage/usage to consider. Default: Last full day in UTC (or hour, depending on `bucket_duration`). You can also specify relative time with respect to end_time such as '-7 days' Or '-7d'.",
"type": "string",
"format": "date-time"
},
"incremental_lineage": {
"title": "Incremental Lineage",
"description": "When enabled, emits lineage as incremental to existing lineage already in DataHub. When disabled, re-states lineage on each run.",
"default": false,
"type": "boolean"
},
"sql_parser_use_external_process": {
"title": "Sql Parser Use External Process",
"description": "When enabled, sql parser will run in isolated in a separate process. This can affect processing time but can protect from sql parser's mem leak.",
"default": false,
"type": "boolean"
},
"convert_urns_to_lowercase": {
"title": "Convert Urns To Lowercase",
"description": "Whether to convert dataset urns to lowercase.",
"default": false,
"type": "boolean"
},
"env": {
"title": "Env",
"description": "The environment that all assets produced by this connector belong to",
"default": "PROD",
"type": "string"
},
"platform_instance": {
"title": "Platform Instance",
"description": "The instance of the platform that all assets produced by this recipe belong to",
"type": "string"
},
"stateful_ingestion": {
"$ref": "#/definitions/StatefulStaleMetadataRemovalConfig"
},
"options": {
"title": "Options",
"description": "Any options specified here will be passed to [SQLAlchemy.create_engine](https://docs.sqlalchemy.org/en/14/core/engines.html#sqlalchemy.create_engine) as kwargs. To set connection arguments in the URL, specify them under `connect_args`.",
"type": "object"
},
"schema_pattern": {
"title": "Schema Pattern",
"description": "Deprecated in favour of database_pattern.",
"default": {
"allow": [
".*"
],
"deny": [],
"ignoreCase": true
},
"allOf": [
{
"$ref": "#/definitions/AllowDenyPattern"
}
]
},
"table_pattern": {
"title": "Table Pattern",
"description": "Regex patterns for tables to filter in ingestion. Specify regex to match the entire table name in database.schema.table format. e.g. to match all tables starting with customer in Customer database and public schema, use the regex 'Customer.public.customer.*'",
"default": {
"allow": [
".*"
],
"deny": [],
"ignoreCase": true
},
"allOf": [
{
"$ref": "#/definitions/AllowDenyPattern"
}
]
},
"view_pattern": {
"title": "View Pattern",
"description": "Regex patterns for views to filter in ingestion. Note: Defaults to table_pattern if not specified. Specify regex to match the entire view name in database.schema.view format. e.g. to match all views starting with customer in Customer database and public schema, use the regex 'Customer.public.customer.*'",
"default": {
"allow": [
".*"
],
"deny": [],
"ignoreCase": true
},
"allOf": [
{
"$ref": "#/definitions/AllowDenyPattern"
}
]
},
"profile_pattern": {
"title": "Profile Pattern",
"description": "Regex patterns to filter tables (or specific columns) for profiling during ingestion. Note that only tables allowed by the `table_pattern` will be considered.",
"default": {
"allow": [
".*"
],
"deny": [],
"ignoreCase": true
},
"allOf": [
{
"$ref": "#/definitions/AllowDenyPattern"
}
]
},
"domain": {
"title": "Domain",
"description": "Attach domains to databases, schemas or tables during ingestion using regex patterns. Domain key can be a guid like *urn:li:domain:ec428203-ce86-4db3-985d-5a8ee6df32ba* or a string like \"Marketing\".) If you provide strings, then datahub will attempt to resolve this name to a guid, and will error out if this fails. There can be multiple domain keys specified.",
"default": {},
"type": "object",
"additionalProperties": {
"$ref": "#/definitions/AllowDenyPattern"
}
},
"include_views": {
"title": "Include Views",
"description": "Whether views should be ingested.",
"default": true,
"type": "boolean"
},
"include_tables": {
"title": "Include Tables",
"description": "Whether tables should be ingested.",
"default": true,
"type": "boolean"
},
"include_table_location_lineage": {
"title": "Include Table Location Lineage",
"description": "If the source supports it, include table lineage to the underlying storage location.",
"default": true,
"type": "boolean"
},
"include_view_lineage": {
"title": "Include View Lineage",
"description": "Populates view->view and table->view lineage using DataHub's sql parser.",
"default": true,
"type": "boolean"
},
"include_view_column_lineage": {
"title": "Include View Column Lineage",
"description": "Populates column-level lineage for view->view and table->view lineage using DataHub's sql parser. Requires `include_view_lineage` to be enabled.",
"default": true,
"type": "boolean"
},
"use_file_backed_cache": {
"title": "Use File Backed Cache",
"description": "Whether to use a file backed cache for the view definitions.",
"default": true,
"type": "boolean"
},
"profiling": {
"title": "Profiling",
"default": {
"enabled": false,
"operation_config": {
"lower_freq_profile_enabled": false,
"profile_day_of_week": null,
"profile_date_of_month": null
},
"limit": null,
"offset": null,
"report_dropped_profiles": false,
"turn_off_expensive_profiling_metrics": false,
"profile_table_level_only": false,
"include_field_null_count": true,
"include_field_distinct_count": true,
"include_field_min_value": true,
"include_field_max_value": true,
"include_field_mean_value": true,
"include_field_median_value": true,
"include_field_stddev_value": true,
"include_field_quantiles": false,
"include_field_distinct_value_frequencies": false,
"include_field_histogram": false,
"include_field_sample_values": true,
"field_sample_values_limit": 20,
"max_number_of_fields_to_profile": null,
"profile_if_updated_since_days": null,
"profile_table_size_limit": 5,
"profile_table_row_limit": 5000000,
"profile_table_row_count_estimate_only": false,
"max_workers": 20,
"query_combiner_enabled": true,
"catch_exceptions": true,
"partition_profiling_enabled": true,
"partition_datetime": null,
"use_sampling": true,
"sample_size": 10000
},
"allOf": [
{
"$ref": "#/definitions/GEProfilingConfig"
}
]
},
"username": {
"title": "Username",
"description": "username",
"type": "string"
},
"password": {
"title": "Password",
"description": "password",
"type": "string",
"writeOnly": true,
"format": "password"
},
"host_port": {
"title": "Host Port",
"description": "host URL",
"type": "string"
},
"database": {
"title": "Database",
"description": "database (catalog)",
"type": "string"
},
"database_alias": {
"title": "Database Alias",
"description": "[Deprecated] Alias to apply to database when ingesting.",
"type": "string"
},
"scheme": {
"title": "Scheme",
"description": "database scheme",
"default": "teradatasql",
"type": "string"
},
"sqlalchemy_uri": {
"title": "Sqlalchemy Uri",
"description": "URI of database to connect to. See https://docs.sqlalchemy.org/en/14/core/engines.html#database-urls. Takes precedence over other connection parameters.",
"type": "string"
},
"database_pattern": {
"title": "Database Pattern",
"description": "Regex patterns for databases to filter in ingestion.",
"default": {
"allow": [
".*"
],
"deny": [
"dbc"
],
"ignoreCase": true
},
"allOf": [
{
"$ref": "#/definitions/AllowDenyPattern"
}
]
},
"usage": {
"title": "Usage",
"description": "The usage config to use when generating usage statistics",
"default": {
"bucket_duration": "DAY",
"end_time": "2023-10-29T18:30:32.553048+00:00",
"start_time": "2023-10-28T00:00:00+00:00",
"queries_character_limit": 24000,
"top_n_queries": 10,
"user_email_pattern": {
"allow": [
".*"
],
"deny": [],
"ignoreCase": true
},
"include_operational_stats": true,
"include_read_operational_stats": false,
"format_sql_queries": false,
"include_top_n_queries": true
},
"allOf": [
{
"$ref": "#/definitions/BaseUsageConfig"
}
]
},
"default_db": {
"title": "Default Db",
"description": "The default database to use for unqualified table names",
"type": "string"
},
"include_usage_statistics": {
"title": "Include Usage Statistics",
"description": "Generate usage statistic.",
"default": false,
"type": "boolean"
},
"include_table_lineage": {
"title": "Include Table Lineage",
"description": "Whether to include table lineage in the ingestion. This requires to have the table lineage feature enabled.",
"default": false,
"type": "boolean"
}
},
"required": [
"host_port"
],
"additionalProperties": false,
"definitions": {
"BucketDuration": {
"title": "BucketDuration",
"description": "An enumeration.",
"enum": [
"DAY",
"HOUR"
],
"type": "string"
},
"DynamicTypedStateProviderConfig": {
"title": "DynamicTypedStateProviderConfig",
"type": "object",
"properties": {
"type": {
"title": "Type",
"description": "The type of the state provider to use. For DataHub use `datahub`",
"type": "string"
},
"config": {
"title": "Config",
"description": "The configuration required for initializing the state provider. Default: The datahub_api config if set at pipeline level. Otherwise, the default DatahubClientConfig. See the defaults (https://github.com/datahub-project/datahub/blob/master/metadata-ingestion/src/datahub/ingestion/graph/client.py#L19)."
}
},
"required": [
"type"
],
"additionalProperties": false
},
"StatefulStaleMetadataRemovalConfig": {
"title": "StatefulStaleMetadataRemovalConfig",
"description": "Base specialized config for Stateful Ingestion with stale metadata removal capability.",
"type": "object",
"properties": {
"enabled": {
"title": "Enabled",
"description": "The type of the ingestion state provider registered with datahub.",
"default": false,
"type": "boolean"
},
"remove_stale_metadata": {
"title": "Remove Stale Metadata",
"description": "Soft-deletes the entities present in the last successful run but missing in the current run with stateful_ingestion enabled.",
"default": true,
"type": "boolean"
}
},
"additionalProperties": false
},
"AllowDenyPattern": {
"title": "AllowDenyPattern",
"description": "A class to store allow deny regexes",
"type": "object",
"properties": {
"allow": {
"title": "Allow",
"description": "List of regex patterns to include in ingestion",
"default": [
".*"
],
"type": "array",
"items": {
"type": "string"
}
},
"deny": {
"title": "Deny",
"description": "List of regex patterns to exclude from ingestion.",
"default": [],
"type": "array",
"items": {
"type": "string"
}
},
"ignoreCase": {
"title": "Ignorecase",
"description": "Whether to ignore case sensitivity during pattern matching.",
"default": true,
"type": "boolean"
}
},
"additionalProperties": false
},
"OperationConfig": {
"title": "OperationConfig",
"type": "object",
"properties": {
"lower_freq_profile_enabled": {
"title": "Lower Freq Profile Enabled",
"description": "Whether to do profiling at lower freq or not. This does not do any scheduling just adds additional checks to when not to run profiling.",
"default": false,
"type": "boolean"
},
"profile_day_of_week": {
"title": "Profile Day Of Week",
"description": "Number between 0 to 6 for day of week (both inclusive). 0 is Monday and 6 is Sunday. If not specified, defaults to Nothing and this field does not take affect.",
"type": "integer"
},
"profile_date_of_month": {
"title": "Profile Date Of Month",
"description": "Number between 1 to 31 for date of month (both inclusive). If not specified, defaults to Nothing and this field does not take affect.",
"type": "integer"
}
},
"additionalProperties": false
},
"GEProfilingConfig": {
"title": "GEProfilingConfig",
"type": "object",
"properties": {
"enabled": {
"title": "Enabled",
"description": "Whether profiling should be done.",
"default": false,
"type": "boolean"
},
"operation_config": {
"title": "Operation Config",
"description": "Experimental feature. To specify operation configs.",
"allOf": [
{
"$ref": "#/definitions/OperationConfig"
}
]
},
"limit": {
"title": "Limit",
"description": "Max number of documents to profile. By default, profiles all documents.",
"type": "integer"
},
"offset": {
"title": "Offset",
"description": "Offset in documents to profile. By default, uses no offset.",
"type": "integer"
},
"report_dropped_profiles": {
"title": "Report Dropped Profiles",
"description": "Whether to report datasets or dataset columns which were not profiled. Set to `True` for debugging purposes.",
"default": false,
"type": "boolean"
},
"turn_off_expensive_profiling_metrics": {
"title": "Turn Off Expensive Profiling Metrics",
"description": "Whether to turn off expensive profiling or not. This turns off profiling for quantiles, distinct_value_frequencies, histogram & sample_values. This also limits maximum number of fields being profiled to 10.",
"default": false,
"type": "boolean"
},
"profile_table_level_only": {
"title": "Profile Table Level Only",
"description": "Whether to perform profiling at table-level only, or include column-level profiling as well.",
"default": false,
"type": "boolean"
},
"include_field_null_count": {
"title": "Include Field Null Count",
"description": "Whether to profile for the number of nulls for each column.",
"default": true,
"type": "boolean"
},
"include_field_distinct_count": {
"title": "Include Field Distinct Count",
"description": "Whether to profile for the number of distinct values for each column.",
"default": true,
"type": "boolean"
},
"include_field_min_value": {
"title": "Include Field Min Value",
"description": "Whether to profile for the min value of numeric columns.",
"default": true,
"type": "boolean"
},
"include_field_max_value": {
"title": "Include Field Max Value",
"description": "Whether to profile for the max value of numeric columns.",
"default": true,
"type": "boolean"
},
"include_field_mean_value": {
"title": "Include Field Mean Value",
"description": "Whether to profile for the mean value of numeric columns.",
"default": true,
"type": "boolean"
},
"include_field_median_value": {
"title": "Include Field Median Value",
"description": "Whether to profile for the median value of numeric columns.",
"default": true,
"type": "boolean"
},
"include_field_stddev_value": {
"title": "Include Field Stddev Value",
"description": "Whether to profile for the standard deviation of numeric columns.",
"default": true,
"type": "boolean"
},
"include_field_quantiles": {
"title": "Include Field Quantiles",
"description": "Whether to profile for the quantiles of numeric columns.",
"default": false,
"type": "boolean"
},
"include_field_distinct_value_frequencies": {
"title": "Include Field Distinct Value Frequencies",
"description": "Whether to profile for distinct value frequencies.",
"default": false,
"type": "boolean"
},
"include_field_histogram": {
"title": "Include Field Histogram",
"description": "Whether to profile for the histogram for numeric fields.",
"default": false,
"type": "boolean"
},
"include_field_sample_values": {
"title": "Include Field Sample Values",
"description": "Whether to profile for the sample values for all columns.",
"default": true,
"type": "boolean"
},
"field_sample_values_limit": {
"title": "Field Sample Values Limit",
"description": "Upper limit for number of sample values to collect for all columns.",
"default": 20,
"type": "integer"
},
"max_number_of_fields_to_profile": {
"title": "Max Number Of Fields To Profile",
"description": "A positive integer that specifies the maximum number of columns to profile for any table. `None` implies all columns. The cost of profiling goes up significantly as the number of columns to profile goes up.",
"exclusiveMinimum": 0,
"type": "integer"
},
"profile_if_updated_since_days": {
"title": "Profile If Updated Since Days",
"description": "Profile table only if it has been updated since these many number of days. If set to `null`, no constraint of last modified time for tables to profile. Supported only in `snowflake` and `BigQuery`.",
"exclusiveMinimum": 0,
"type": "number"
},
"profile_table_size_limit": {
"title": "Profile Table Size Limit",
"description": "Profile tables only if their size is less then specified GBs. If set to `null`, no limit on the size of tables to profile. Supported only in `snowflake` and `BigQuery`",
"default": 5,
"type": "integer"
},
"profile_table_row_limit": {
"title": "Profile Table Row Limit",
"description": "Profile tables only if their row count is less then specified count. If set to `null`, no limit on the row count of tables to profile. Supported only in `snowflake` and `BigQuery`",
"default": 5000000,
"type": "integer"
},
"profile_table_row_count_estimate_only": {
"title": "Profile Table Row Count Estimate Only",
"description": "Use an approximate query for row count. This will be much faster but slightly less accurate. Only supported for Postgres and MySQL. ",
"default": false,
"type": "boolean"
},
"max_workers": {
"title": "Max Workers",
"description": "Number of worker threads to use for profiling. Set to 1 to disable.",
"default": 20,
"type": "integer"
},
"query_combiner_enabled": {
"title": "Query Combiner Enabled",
"description": "*This feature is still experimental and can be disabled if it causes issues.* Reduces the total number of queries issued and speeds up profiling by dynamically combining SQL queries where possible.",
"default": true,
"type": "boolean"
},
"catch_exceptions": {
"title": "Catch Exceptions",
"default": true,
"type": "boolean"
},
"partition_profiling_enabled": {
"title": "Partition Profiling Enabled",
"description": "Whether to profile partitioned tables. Only BigQuery supports this. If enabled, latest partition data is used for profiling.",
"default": true,
"type": "boolean"
},
"partition_datetime": {
"title": "Partition Datetime",
"description": "If specified, profile only the partition which matches this datetime. If not specified, profile the latest partition. Only Bigquery supports this.",
"type": "string",
"format": "date-time"
},
"use_sampling": {
"title": "Use Sampling",
"description": "Whether to profile column level stats on sample of table. Only BigQuery and Snowflake support this. If enabled, profiling is done on rows sampled from table. Sampling is not done for smaller tables. ",
"default": true,
"type": "boolean"
},
"sample_size": {
"title": "Sample Size",
"description": "Number of rows to be sampled from table for column level profiling.Applicable only if `use_sampling` is set to True.",
"default": 10000,
"type": "integer"
}
},
"additionalProperties": false
},
"BaseUsageConfig": {
"title": "BaseUsageConfig",
"type": "object",
"properties": {
"bucket_duration": {
"description": "Size of the time window to aggregate usage stats.",
"default": "DAY",
"allOf": [
{
"$ref": "#/definitions/BucketDuration"
}
]
},
"end_time": {
"title": "End Time",
"description": "Latest date of lineage/usage to consider. Default: Current time in UTC",
"type": "string",
"format": "date-time"
},
"start_time": {
"title": "Start Time",
"description": "Earliest date of lineage/usage to consider. Default: Last full day in UTC (or hour, depending on `bucket_duration`). You can also specify relative time with respect to end_time such as '-7 days' Or '-7d'.",
"type": "string",
"format": "date-time"
},
"top_n_queries": {
"title": "Top N Queries",
"description": "Number of top queries to save to each table.",
"default": 10,
"exclusiveMinimum": 0,
"type": "integer"
},
"user_email_pattern": {
"title": "User Email Pattern",
"description": "regex patterns for user emails to filter in usage.",
"default": {
"allow": [
".*"
],
"deny": [],
"ignoreCase": true
},
"allOf": [
{
"$ref": "#/definitions/AllowDenyPattern"
}
]
},
"include_operational_stats": {
"title": "Include Operational Stats",
"description": "Whether to display operational stats.",
"default": true,
"type": "boolean"
},
"include_read_operational_stats": {
"title": "Include Read Operational Stats",
"description": "Whether to report read operational stats. Experimental.",
"default": false,
"type": "boolean"
},
"format_sql_queries": {
"title": "Format Sql Queries",
"description": "Whether to format sql queries",
"default": false,
"type": "boolean"
},
"include_top_n_queries": {
"title": "Include Top N Queries",
"description": "Whether to ingest the top_n_queries.",
"default": true,
"type": "boolean"
}
},
"additionalProperties": false
}
}
}
Code Coordinates
- Class Name:
datahub.ingestion.source.sql.teradata.TeradataSource
- Browse on GitHub
Questions
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