Version: Next

ClickHouse

There are 2 sources that provide integration with ClickHouse

Source Module Documentation

clickhouse

This plugin extracts the following:

Metadata for tables, views, materialized views and dictionaries
Column types associated with each table(except *AggregateFunction and DateTime with timezone)
Table, row, and column statistics via optional SQL profiling.
Table, view, materialized view and dictionary(with CLICKHOUSE source_type) lineage

tip

You can also get fine-grained usage statistics for ClickHouse using the clickhouse-usage source described below.

Module `clickhouse`

Important Capabilities

Capability	Status	Notes
Data Profiling	✅	Optionally enabled via configuration
Detect Deleted Entities	✅	Enabled via stateful ingestion

This plugin extracts the following:

Metadata for tables, views, materialized views and dictionaries
Column types associated with each table(except *AggregateFunction and DateTime with timezone)
Table, row, and column statistics via optional SQL profiling.
Table, view, materialized view and dictionary(with CLICKHOUSE source_type) lineage

tip

You can also get fine-grained usage statistics for ClickHouse using the clickhouse-usage source described below.

CLI based Ingestion

Install the Plugin

pip install 'acryl-datahub[clickhouse]'

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.

source:
  type: clickhouse
  config:
    # Coordinates
    host_port: localhost:9000

    # Credentials
    username: user
    password: pass

    # Options
    platform_instance: DatabaseNameToBeIngested

    include_views: True # whether to include views, defaults to True
    include_tables: True # whether to include views, defaults to True

sink:
  # sink configs

#---------------------------------------------------------------------------
# For the HTTP interface:
#---------------------------------------------------------------------------
source:
  type: clickhouse
  config:
    host_port: localhost:8443
    uri_opts:
      protocol: https

#---------------------------------------------------------------------------
# For the Native interface:
#---------------------------------------------------------------------------

source:
  type: clickhouse
  config:
    host_port: localhost:9440
    scheme: clickhouse+native
    uri_opts:
      secure: True

#------------------------------------------------------------------------
# Example: using ingestion with configured SSL-TLS and uri_opts
# See https://clickhouse.com/docs/en/guides/sre/configuring-ssl
# ------------------------------------------------------------------------
source:
  type: clickhouse
  config:
    # Url form, prefered
    sqlalchemy_uri: 'clickhouse+native://user:pass@localhost:9000/db?&ca_certs=ca.crt'

    # Non url form
    username: user
    password: pass

    host_port: localhost:9000

    uri_opts:
      secure: True
      ca_certs: "ca.crt"
      certfile: "clickhouse.crt"
      keyfile: "clickhouse.key"

Config Details

Options
Schema

Note that a . is used to denote nested fields in the YAML recipe.

Field	Description
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)
end_time string(date-time)	Latest date of lineage/usage to consider. Default: Current time in UTC
host_port string	ClickHouse host URL. Default: localhost:8123
include_materialized_views boolean	Default: True
include_table_lineage boolean	Whether table lineage should be ingested. Default: True
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_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 Default:
platform_instance string	The instance of the platform that all assets produced by this recipe belong to
platform_instance_map map(str,string)
protocol string
secure boolean
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'.
uri_opts map(str,string)
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': [], 'ignoreCase': True}
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`.allow array(string)
domain.`key`.deny array(string)
domain.`key`.ignoreCase boolean	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
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
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_external_tables boolean	Whether to profile external tables. Only Snowflake and Redshift supports this. Default: False
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	Default as True if datahub-rest sink is used or if datahub_api is specified, otherwise False 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": "ClickHouseConfig",
  "description": "Base configuration class for stateful ingestion for source configs to inherit from.",
  "type": "object",
  "properties": {
    "env": {
      "title": "Env",
      "description": "The environment that all assets produced by this connector belong to",
      "default": "PROD",
      "type": "string"
    },
    "platform_instance_map": {
      "title": "Platform Instance Map",
      "description": "A holder for platform -> platform_instance mappings to generate correct dataset urns",
      "type": "object",
      "additionalProperties": {
        "type": "string"
      }
    },
    "bucket_duration": {
      "description": "Size of the time window to aggregate usage stats.",
      "default": "DAY",
      "allOf": [
        {
          "$ref": "#/definitions/BucketDuration"
        }
      ]
    },
    "end_time": {
      "title": "End Time",
      "description": "Latest date of lineage/usage to consider. Default: Current time in UTC",
      "type": "string",
      "format": "date-time"
    },
    "start_time": {
      "title": "Start Time",
      "description": "Earliest date of lineage/usage to consider. Default: Last full day in UTC (or hour, depending on `bucket_duration`). You can also specify relative time with respect to end_time such as '-7 days' Or '-7d'.",
      "type": "string",
      "format": "date-time"
    },
    "incremental_lineage": {
      "title": "Incremental Lineage",
      "description": "When enabled, emits lineage as incremental to existing lineage already in DataHub. When disabled, re-states lineage on each run.",
      "default": false,
      "type": "boolean"
    },
    "convert_urns_to_lowercase": {
      "title": "Convert Urns To Lowercase",
      "description": "Whether to convert dataset urns to lowercase.",
      "default": false,
      "type": "boolean"
    },
    "platform_instance": {
      "title": "Platform Instance",
      "description": "The instance of the platform that all assets produced by this recipe belong to",
      "type": "string"
    },
    "stateful_ingestion": {
      "$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"
    },
    "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,
        "profile_external_tables": false
      },
      "allOf": [
        {
          "$ref": "#/definitions/GEProfilingConfig"
        }
      ]
    },
    "username": {
      "title": "Username",
      "description": "username",
      "type": "string"
    },
    "password": {
      "title": "Password",
      "description": "password",
      "default": "",
      "type": "string",
      "writeOnly": true,
      "format": "password"
    },
    "host_port": {
      "title": "Host Port",
      "description": "ClickHouse host URL.",
      "default": "localhost:8123",
      "type": "string"
    },
    "database": {
      "title": "Database",
      "description": "database (catalog)",
      "type": "string"
    },
    "sqlalchemy_uri": {
      "title": "Sqlalchemy Uri",
      "description": "URI of database to connect to. See https://docs.sqlalchemy.org/en/14/core/engines.html#database-urls. Takes precedence over other connection parameters.",
      "type": "string"
    },
    "database_pattern": {
      "title": "Database Pattern",
      "description": "Regex patterns for databases to filter in ingestion.",
      "default": {
        "allow": [
          ".*"
        ],
        "deny": [],
        "ignoreCase": true
      },
      "allOf": [
        {
          "$ref": "#/definitions/AllowDenyPattern"
        }
      ]
    },
    "secure": {
      "title": "Secure",
      "type": "boolean"
    },
    "protocol": {
      "title": "Protocol",
      "type": "string"
    },
    "uri_opts": {
      "title": "Uri Opts",
      "description": "The part of the URI and it's used to provide additional configuration options or parameters for the database connection.",
      "default": {},
      "type": "object",
      "additionalProperties": {
        "type": "string"
      }
    },
    "include_table_lineage": {
      "title": "Include Table Lineage",
      "description": "Whether table lineage should be ingested.",
      "default": true,
      "type": "boolean"
    },
    "include_materialized_views": {
      "title": "Include Materialized Views",
      "default": true,
      "type": "boolean"
    }
  },
  "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).",
          "default": {},
          "type": "object"
        }
      },
      "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": "Default as True if datahub-rest sink is used or if datahub_api is specified, otherwise False",
          "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"
        },
        "profile_external_tables": {
          "title": "Profile External Tables",
          "description": "Whether to profile external tables. Only Snowflake and Redshift supports this.",
          "default": false,
          "type": "boolean"
        }
      },
      "additionalProperties": false
    }
  }
}

Code Coordinates

Class Name: datahub.ingestion.source.sql.clickhouse.ClickHouseSource
Browse on GitHub

Module `clickhouse-usage`

Important Capabilities

Capability	Status	Notes
Data Profiling	✅	Optionally enabled via configuration
Detect Deleted Entities	✅	Enabled via stateful ingestion

This plugin has the below functionalities -

For a specific dataset this plugin ingests the following statistics -
1. top n queries.
2. top users.
3. usage of each column in the dataset.
Aggregation of these statistics into buckets, by day or hour granularity.

note

This source only does usage statistics. To get the tables, views, and schemas in your ClickHouse warehouse, ingest using the clickhouse source described above.

CLI based Ingestion

Install the Plugin

pip install 'acryl-datahub[clickhouse-usage]'

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.

source:
  type: clickhouse-usage
  config:
    # Coordinates
    host_port: db_host:port
    platform_instance: dev_cluster
    email_domain: acryl.io

    # Credentials
    username: username
    password: "password"

sink:
# sink configs

Config Details

Options
Schema

Note that a . is used to denote nested fields in the YAML recipe.

Field	Description
email_domain ✅ string
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)
end_time string(date-time)	Latest date of lineage/usage to consider. Default: Current time in UTC
format_sql_queries boolean	Whether to format sql queries Default: False
host_port string	ClickHouse host URL. Default: localhost:8123
include_materialized_views boolean	Default: True
include_operational_stats boolean	Whether to display operational stats. Default: True
include_read_operational_stats boolean	Whether to report read operational stats. Experimental. Default: False
include_table_lineage boolean	Whether table lineage should be ingested. Default: True
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_top_n_queries boolean	Whether to ingest the top_n_queries. Default: True
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	Default: {}
password string(password)	password Default:
platform_instance string	The instance of the platform that all assets produced by this recipe belong to
platform_instance_map map(str,string)
protocol string
query_log_table string	Default: system.query_log
secure boolean
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'.
top_n_queries integer	Number of top queries to save to each table. Default: 10
uri_opts map(str,string)
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': [], 'ignoreCase': True}
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`.allow array(string)
domain.`key`.deny array(string)
domain.`key`.ignoreCase boolean	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
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
user_email_pattern AllowDenyPattern	regex patterns for user emails to filter in usage. Default: {'allow': ['.*'], 'deny': [], 'ignoreCase': True}
user_email_pattern.allow array(string)
user_email_pattern.deny array(string)
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_external_tables boolean	Whether to profile external tables. Only Snowflake and Redshift supports this. Default: False
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	Default as True if datahub-rest sink is used or if datahub_api is specified, otherwise False 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": "ClickHouseUsageConfig",
  "description": "Base configuration class for stateful ingestion for source configs to inherit from.",
  "type": "object",
  "properties": {
    "env": {
      "title": "Env",
      "description": "The environment that all assets produced by this connector belong to",
      "default": "PROD",
      "type": "string"
    },
    "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"
    },
    "platform_instance_map": {
      "title": "Platform Instance Map",
      "description": "A holder for platform -> platform_instance mappings to generate correct dataset urns",
      "type": "object",
      "additionalProperties": {
        "type": "string"
      }
    },
    "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"
    },
    "convert_urns_to_lowercase": {
      "title": "Convert Urns To Lowercase",
      "description": "Whether to convert dataset urns to lowercase.",
      "default": false,
      "type": "boolean"
    },
    "platform_instance": {
      "title": "Platform Instance",
      "description": "The instance of the platform that all assets produced by this recipe belong to",
      "type": "string"
    },
    "stateful_ingestion": {
      "$ref": "#/definitions/StatefulStaleMetadataRemovalConfig"
    },
    "options": {
      "title": "Options",
      "default": {},
      "type": "object"
    },
    "table_pattern": {
      "title": "Table Pattern",
      "description": "Regex patterns for tables to filter in ingestion. Specify regex to match the entire table name in database.schema.table format. e.g. to match all tables starting with customer in Customer database and public schema, use the regex 'Customer.public.customer.*'",
      "default": {
        "allow": [
          ".*"
        ],
        "deny": [],
        "ignoreCase": true
      },
      "allOf": [
        {
          "$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,
        "profile_external_tables": false
      },
      "allOf": [
        {
          "$ref": "#/definitions/GEProfilingConfig"
        }
      ]
    },
    "username": {
      "title": "Username",
      "description": "username",
      "type": "string"
    },
    "password": {
      "title": "Password",
      "description": "password",
      "default": "",
      "type": "string",
      "writeOnly": true,
      "format": "password"
    },
    "host_port": {
      "title": "Host Port",
      "description": "ClickHouse host URL.",
      "default": "localhost:8123",
      "type": "string"
    },
    "database": {
      "title": "Database",
      "description": "database (catalog)",
      "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": [],
        "ignoreCase": true
      },
      "allOf": [
        {
          "$ref": "#/definitions/AllowDenyPattern"
        }
      ]
    },
    "secure": {
      "title": "Secure",
      "type": "boolean"
    },
    "protocol": {
      "title": "Protocol",
      "type": "string"
    },
    "uri_opts": {
      "title": "Uri Opts",
      "description": "The part of the URI and it's used to provide additional configuration options or parameters for the database connection.",
      "default": {},
      "type": "object",
      "additionalProperties": {
        "type": "string"
      }
    },
    "include_table_lineage": {
      "title": "Include Table Lineage",
      "description": "Whether table lineage should be ingested.",
      "default": true,
      "type": "boolean"
    },
    "include_materialized_views": {
      "title": "Include Materialized Views",
      "default": true,
      "type": "boolean"
    },
    "email_domain": {
      "title": "Email Domain",
      "type": "string"
    },
    "query_log_table": {
      "title": "Query Log Table",
      "default": "system.query_log",
      "type": "string"
    }
  },
  "required": [
    "email_domain"
  ],
  "additionalProperties": false,
  "definitions": {
    "BucketDuration": {
      "title": "BucketDuration",
      "description": "An enumeration.",
      "enum": [
        "DAY",
        "HOUR"
      ],
      "type": "string"
    },
    "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
    },
    "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).",
          "default": {},
          "type": "object"
        }
      },
      "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": "Default as True if datahub-rest sink is used or if datahub_api is specified, otherwise False",
          "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
    },
    "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"
        },
        "profile_external_tables": {
          "title": "Profile External Tables",
          "description": "Whether to profile external tables. Only Snowflake and Redshift supports this.",
          "default": false,
          "type": "boolean"
        }
      },
      "additionalProperties": false
    }
  }
}

Code Coordinates

Class Name: datahub.ingestion.source.usage.clickhouse_usage.ClickHouseUsageSource
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ClickHouse

Module clickhouse​

Important Capabilities​

CLI based Ingestion​

Install the Plugin​

Starter Recipe​

Config Details​

Code Coordinates​

Module clickhouse-usage​

Important Capabilities​

CLI based Ingestion​

Install the Plugin​

Starter Recipe​

Config Details​

Code Coordinates​

Questions

Module `clickhouse`

Important Capabilities

CLI based Ingestion

Install the Plugin

Starter Recipe

Config Details

Code Coordinates

Module `clickhouse-usage`

Important Capabilities

CLI based Ingestion

Install the Plugin

Starter Recipe

Config Details

Code Coordinates