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datahub_ingestion_schema.json | kafka_connection | Kafka connection config | {"default": {"bootstrap": "localhost:9092", "schema_registry_url": "http://localhost:8080/schema-registry/api/", "schema_registry_config": {}, "client_timeout_seconds": 60, "consumer_config": {}}, "allOf": [{}]} |
datahub_ingestion_schema.json | include_all_versions | If enabled, include all versions of each aspect. Otherwise, only include the latest version of each aspect. | {"default": false, "type": "boolean"} |
datahub_ingestion_schema.json | mysql_batch_size | Number of records to fetch from MySQL at a time | {"default": 10000, "type": "integer"} |
datahub_ingestion_schema.json | mysql_table_name | Name of MySQL table containing all versioned aspects | {"default": "metadata_aspect_v2", "type": "string"} |
datahub_ingestion_schema.json | kafka_topic_name | Name of kafka topic containing timeseries MCLs | {"default": "MetadataChangeLog_Timeseries_v1", "type": "string"} |
datahub_ingestion_schema.json | commit_state_interval | Number of records to process before committing state | {"default": 1000, "type": "integer"} |
datahub_ingestion_schema.json | commit_with_parse_errors | Whether to update createdon timestamp and kafka offset despite parse errors. Enable if you want to ignore the errors. | {"default": false, "type": "boolean"} |
datahub_ingestion_schema.json | bigquery_config | Base configuration class for stateful ingestion for source configs to inherit from. | {"type": "object", "properties": {"store_last_profiling_timestamps": {"default": false, "type": "boolean"}, "incremental_lineage": {"default": true, "type": "boolean"}, "sql_parser_use_external_process": {"default": false, "type": "boolean"}, "store_last_lineage_extraction_timestamp": {"default": false, "type": "boolean"}, "bucket_duration": {"default": "DAY", "allOf": [{}]}, "end_time": {"type": "string", "format": "date-time"}, "start_time": {"type": "string", "format": "date-time"}, "store_last_usage_extraction_timestamp": {"default": true, "type": "boolean"}, "env": {"default": "PROD", "type": "string"}, "platform_instance": {"type": "string"}, "stateful_ingestion": {}, "options": {"type": "object"}, "schema_pattern": {"default": {"allow": [".*"], "deny": [], "ignoreCase": true}, "allOf": [{}]}, "table_pattern": {"default": {"allow": [".*"], "deny": [], "ignoreCase": true}, "allOf": [{}]}, "view_pattern": {"default": {"allow": [".*"], "deny": [], "ignoreCase": true}, "allOf": [{}]}, "profile_pattern": {"default": {"allow": [".*"], "deny": [], "ignoreCase": true}, "allOf": [{}]}, "domain": {"default": {}, "type": "object", "additionalProperties": {}}, "include_views": {"default": true, "type": "boolean"}, "include_tables": {"default": true, "type": "boolean"}, "include_table_location_lineage": {"default": true, "type": "boolean"}, "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": 10, "query_combiner_enabled": true, "catch_exceptions": true, "partition_profiling_enabled": true, "partition_datetime": null}, "allOf": [{}]}, "rate_limit": {"default": false, "type": "boolean"}, "requests_per_min": {"default": 60, "type": "integer"}, "temp_table_dataset_prefix": {"default": "_", "type": "string"}, "sharded_table_pattern": {"default": "((.+)[_$])?(\\d{8})$", "deprecated": true, "type": "string"}, "project_id_pattern": {"default": {"allow": [".*"], "deny": [], "ignoreCase": true}, "allOf": [{}]}, "usage": {"default": {"bucket_duration": "DAY", "end_time": "2023-08-15T22:02:13.573606+00:00", "start_time": "2023-08-14T00:00:00+00:00", "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, "max_query_duration": 900.0, "apply_view_usage_to_tables": false}, "allOf": [{}]}, "include_usage_statistics": {"default": true, "type": "boolean"}, "capture_table_label_as_tag": {"default": false, "type": "boolean"}, "capture_dataset_label_as_tag": {"default": false, "type": "boolean"}, "dataset_pattern": {"default": {"allow": [".*"], "deny": [], "ignoreCase": true}, "allOf": [{}]}, "match_fully_qualified_names": {"default": false, "type": "boolean"}, "include_external_url": {"default": true, "type": "boolean"}, "debug_include_full_payloads": {"default": false, "type": "boolean"}, "number_of_datasets_process_in_batch_if_profiling_enabled": {"default": 200, "type": "integer"}, "column_limit": {"default": 300, "type": "integer"}, "project_id": {"type": "string"}, "project_ids": {"type": "array", "items": {"type": "string"}}, "project_on_behalf": {"type": "string"}, "lineage_use_sql_parser": {"default": true, "type": "boolean"}, "lineage_parse_view_ddl": {"default": true, "type": "boolean"}, "lineage_sql_parser_use_raw_names": {"default": false, "type": "boolean"}, "extract_column_lineage": {"default": false, "type": "boolean"}, "extract_lineage_from_catalog": {"default": false, "type": "boolean"}, "convert_urns_to_lowercase": {"default": false, "type": "boolean"}, "enable_legacy_sharded_table_support": {"default": true, "type": "boolean"}, "scheme": {"default": "bigquery", "type": "string"}, "log_page_size": {"default": 1000, "exclusiveMinimum": 0, "type": "integer"}, "credential": {"allOf": [{}]}, "extra_client_options": {"default": {}, "type": "object"}, "include_table_lineage": {"default": true, "type": "boolean"}, "max_query_duration": {"default": 900.0, "type": "number", "format": "time-delta"}, "bigquery_audit_metadata_datasets": {"type": "array", "items": {"type": "string"}}, "use_exported_bigquery_audit_metadata": {"default": false, "type": "boolean"}, "use_date_sharded_audit_log_tables": {"default": false, "type": "boolean"}, "upstream_lineage_in_report": {"default": false, "type": "boolean"}}, "additionalProperties": false} |
datahub_ingestion_schema.json | store_last_profiling_timestamps | Enable storing last profile timestamp in store. | {"default": false, "type": "boolean"} |
datahub_ingestion_schema.json | incremental_lineage | When enabled, emits lineage as incremental to existing lineage already in DataHub. When disabled, re-states lineage on each run. | {"default": true, "type": "boolean"} |
datahub_ingestion_schema.json | sql_parser_use_external_process | 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"} |
datahub_ingestion_schema.json | store_last_lineage_extraction_timestamp | Enable checking last lineage extraction date in store. | {"default": false, "type": "boolean"} |
datahub_ingestion_schema.json | bucket_duration | Size of the time window to aggregate usage stats. | {"default": "DAY", "allOf": [{}]} |
datahub_ingestion_schema.json | end_time | Latest date of lineage/usage to consider. Default: Current time in UTC | {"type": "string", "format": "date-time"} |
datahub_ingestion_schema.json | start_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'. | {"type": "string", "format": "date-time"} |
datahub_ingestion_schema.json | store_last_usage_extraction_timestamp | Enable checking last usage timestamp in store. | {"default": true, "type": "boolean"} |
datahub_ingestion_schema.json | env | The environment that all assets produced by this connector belong to | {"default": "PROD", "type": "string"} |
datahub_ingestion_schema.json | platform_instance | The instance of the platform that all assets produced by this recipe belong to | {"type": "string"} |
datahub_ingestion_schema.json | options | 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. | {"type": "object"} |
datahub_ingestion_schema.json | schema_pattern | Regex patterns for schemas to filter in ingestion. Specify regex to only match the schema name. e.g. to match all tables in schema analytics, use the regex 'analytics' | {"default": {"allow": [".*"], "deny": [], "ignoreCase": true}, "allOf": [{}]} |
datahub_ingestion_schema.json | table_pattern | 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": [{}]} |
datahub_ingestion_schema.json | view_pattern | 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": [{}]} |
datahub_ingestion_schema.json | profile_pattern | 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": [{}]} |
datahub_ingestion_schema.json | domain | 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": {}} |
datahub_ingestion_schema.json | include_views | Whether views should be ingested. | {"default": true, "type": "boolean"} |
datahub_ingestion_schema.json | include_tables | Whether tables should be ingested. | {"default": true, "type": "boolean"} |
datahub_ingestion_schema.json | include_table_location_lineage | If the source supports it, include table lineage to the underlying storage location. | {"default": true, "type": "boolean"} |
datahub_ingestion_schema.json | rate_limit | Should we rate limit requests made to API. | {"default": false, "type": "boolean"} |
datahub_ingestion_schema.json | requests_per_min | Used to control number of API calls made per min. Only used when `rate_limit` is set to `True`. | {"default": 60, "type": "integer"} |
datahub_ingestion_schema.json | temp_table_dataset_prefix | If you are creating temp tables in a dataset with a particular prefix you can use this config to set the prefix for the dataset. This is to support workflows from before bigquery's introduction of temp tables. By default we use `_` because of datasets that begin with an underscore are hidden by default https://cloud.google.com/bigquery/docs/datasets#dataset-naming. | {"default": "_", "type": "string"} |
datahub_ingestion_schema.json | sharded_table_pattern | The regex pattern to match sharded tables and group as one table. This is a very low level config parameter, only change if you know what you are doing, | {"default": "((.+)[_$])?(\\d{8})$", "deprecated": true, "type": "string"} |
datahub_ingestion_schema.json | project_id_pattern | Regex patterns for project_id to filter in ingestion. | {"default": {"allow": [".*"], "deny": [], "ignoreCase": true}, "allOf": [{}]} |
datahub_ingestion_schema.json | usage | Usage related configs | {"default": {"bucket_duration": "DAY", "end_time": "2023-08-15T22:02:13.573606+00:00", "start_time": "2023-08-14T00:00:00+00:00", "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, "max_query_duration": 900.0, "apply_view_usage_to_tables": false}, "allOf": [{}]} |
datahub_ingestion_schema.json | include_usage_statistics | Generate usage statistic | {"default": true, "type": "boolean"} |
datahub_ingestion_schema.json | capture_table_label_as_tag | Capture BigQuery table labels as DataHub tag | {"default": false, "type": "boolean"} |
datahub_ingestion_schema.json | capture_dataset_label_as_tag | Capture BigQuery dataset labels as DataHub tag | {"default": false, "type": "boolean"} |
datahub_ingestion_schema.json | dataset_pattern | Regex patterns for dataset to filter in ingestion. Specify regex to only match the schema name. e.g. to match all tables in schema analytics, use the regex 'analytics' | {"default": {"allow": [".*"], "deny": [], "ignoreCase": true}, "allOf": [{}]} |
datahub_ingestion_schema.json | match_fully_qualified_names | Whether `dataset_pattern` is matched against fully qualified dataset name `<project_id>.<dataset_name>`. | {"default": false, "type": "boolean"} |
datahub_ingestion_schema.json | include_external_url | Whether to populate BigQuery Console url to Datasets/Tables | {"default": true, "type": "boolean"} |
datahub_ingestion_schema.json | debug_include_full_payloads | Include full payload into events. It is only for debugging and internal use. | {"default": false, "type": "boolean"} |
datahub_ingestion_schema.json | number_of_datasets_process_in_batch_if_profiling_enabled | Number of partitioned table queried in batch when getting metadata. This is a low level config property which should be touched with care. This restriction is needed because we query partitions system view which throws error if we try to touch too many tables. | {"default": 200, "type": "integer"} |
datahub_ingestion_schema.json | column_limit | Maximum number of columns to process in a table. This is a low level config property which should be touched with care. This restriction is needed because excessively wide tables can result in failure to ingest the schema. | {"default": 300, "type": "integer"} |
datahub_ingestion_schema.json | project_id | [deprecated] Use project_id_pattern or project_ids instead. | {"type": "string"} |
datahub_ingestion_schema.json | project_ids | Ingests specified project_ids. Use this property if you want to specify what projects to ingest or don't want to give project resourcemanager.projects.list to your service account. Overrides `project_id_pattern`. | {"type": "array", "items": {"type": "string"}} |
datahub_ingestion_schema.json | project_on_behalf | [Advanced] The BigQuery project in which queries are executed. Will be passed when creating a job. If not passed, falls back to the project associated with the service account. | {"type": "string"} |
datahub_ingestion_schema.json | lineage_use_sql_parser | Use sql parser to resolve view/table lineage. | {"default": true, "type": "boolean"} |
datahub_ingestion_schema.json | lineage_parse_view_ddl | Sql parse view ddl to get lineage. | {"default": true, "type": "boolean"} |
datahub_ingestion_schema.json | lineage_sql_parser_use_raw_names | This parameter ignores the lowercase pattern stipulated in the SQLParser. NOTE: Ignored if lineage_use_sql_parser is False. | {"default": false, "type": "boolean"} |
datahub_ingestion_schema.json | extract_column_lineage | If enabled, generate column level lineage. Requires lineage_use_sql_parser to be enabled. This and `incremental_lineage` cannot both be enabled. | {"default": false, "type": "boolean"} |
datahub_ingestion_schema.json | extract_lineage_from_catalog | This flag enables the data lineage extraction from Data Lineage API exposed by Google Data Catalog. NOTE: This extractor can't build views lineage. It's recommended to enable the view's DDL parsing. Read the docs to have more information about: https://cloud.google.com/data-catalog/docs/concepts/about-data-lineage | {"default": false, "type": "boolean"} |
datahub_ingestion_schema.json | convert_urns_to_lowercase | Convert urns to lowercase. | {"default": false, "type": "boolean"} |
datahub_ingestion_schema.json | enable_legacy_sharded_table_support | Use the legacy sharded table urn suffix added. | {"default": true, "type": "boolean"} |
datahub_ingestion_schema.json | log_page_size | The number of log item will be queried per page for lineage collection | {"default": 1000, "exclusiveMinimum": 0, "type": "integer"} |
datahub_ingestion_schema.json | credential | BigQuery credential informations | {"allOf": [{}]} |
datahub_ingestion_schema.json | extra_client_options | Additional options to pass to google.cloud.logging_v2.client.Client. | {"default": {}, "type": "object"} |
datahub_ingestion_schema.json | include_table_lineage | Option to enable/disable lineage generation. Is enabled by default. | {"default": true, "type": "boolean"} |
datahub_ingestion_schema.json | max_query_duration | Correction to pad start_time and end_time with. For handling the case where the read happens within our time range but the query completion event is delayed and happens after the configured end time. | {"default": 900.0, "type": "number", "format": "time-delta"} |
datahub_ingestion_schema.json | bigquery_audit_metadata_datasets | A list of datasets that contain a table named cloudaudit_googleapis_com_data_access which contain BigQuery audit logs, specifically, those containing BigQueryAuditMetadata. It is recommended that the project of the dataset is also specified, for example, projectA.datasetB. | {"type": "array", "items": {"type": "string"}} |
datahub_ingestion_schema.json | use_exported_bigquery_audit_metadata | When configured, use BigQueryAuditMetadata in bigquery_audit_metadata_datasets to compute lineage information. | {"default": false, "type": "boolean"} |
datahub_ingestion_schema.json | use_date_sharded_audit_log_tables | Whether to read date sharded tables or time partitioned tables when extracting usage from exported audit logs. | {"default": false, "type": "boolean"} |
datahub_ingestion_schema.json | upstream_lineage_in_report | Useful for debugging lineage information. Set to True to see the raw lineage created internally. | {"default": false, "type": "boolean"} |
datahub_ingestion_schema.json | okta_config | Base configuration class for stateful ingestion for source configs to inherit from. | {"type": "object", "properties": {"stateful_ingestion": {"allOf": [{}]}, "okta_domain": {"type": "string"}, "okta_api_token": {"type": "string"}, "ingest_users": {"default": true, "type": "boolean"}, "ingest_groups": {"default": true, "type": "boolean"}, "ingest_group_membership": {"default": true, "type": "boolean"}, "okta_profile_to_username_attr": {"default": "email", "type": "string"}, "okta_profile_to_username_regex": {"default": "(.*)", "type": "string"}, "okta_profile_to_group_name_attr": {"default": "name", "type": "string"}, "okta_profile_to_group_name_regex": {"default": "(.*)", "type": "string"}, "include_deprovisioned_users": {"default": false, "type": "boolean"}, "include_suspended_users": {"default": false, "type": "boolean"}, "page_size": {"default": 100, "type": "integer"}, "delay_seconds": {"default": 0.01, "anyOf": [{"type": "number"}, {"type": "integer"}]}, "okta_users_filter": {"type": "string"}, "okta_users_search": {"type": "string"}, "okta_groups_filter": {"type": "string"}, "okta_groups_search": {"type": "string"}, "mask_group_id": {"default": true, "type": "boolean"}, "mask_user_id": {"default": true, "type": "boolean"}}, "required": ["okta_domain", "okta_api_token"], "additionalProperties": false} |
datahub_ingestion_schema.json | stateful_ingestion | Okta Stateful Ingestion Config. | {"allOf": [{}]} |
datahub_ingestion_schema.json | okta_domain | The location of your Okta Domain, without a protocol. Can be found in Okta Developer console. e.g. dev-33231928.okta.com | {"type": "string"} |
datahub_ingestion_schema.json | okta_api_token | An API token generated for the DataHub application inside your Okta Developer Console. e.g. 00be4R_M2MzDqXawbWgfKGpKee0kuEOfX1RCQSRx00 | {"type": "string"} |
datahub_ingestion_schema.json | ingest_users | Whether users should be ingested into DataHub. | {"default": true, "type": "boolean"} |
datahub_ingestion_schema.json | ingest_groups | Whether groups should be ingested into DataHub. | {"default": true, "type": "boolean"} |
datahub_ingestion_schema.json | ingest_group_membership | Whether group membership should be ingested into DataHub. ingest_groups must be True if this is True. | {"default": true, "type": "boolean"} |
datahub_ingestion_schema.json | okta_profile_to_username_attr | Which Okta User Profile attribute to use as input to DataHub username mapping. Common values used are - login, email. | {"default": "email", "type": "string"} |
datahub_ingestion_schema.json | okta_profile_to_username_regex | A regex used to parse the DataHub username from the attribute specified in `okta_profile_to_username_attr`. | {"default": "(.*)", "type": "string"} |
datahub_ingestion_schema.json | okta_profile_to_group_name_attr | Which Okta Group Profile attribute to use as input to DataHub group name mapping. | {"default": "name", "type": "string"} |
datahub_ingestion_schema.json | okta_profile_to_group_name_regex | A regex used to parse the DataHub group name from the attribute specified in `okta_profile_to_group_name_attr`. | {"default": "(.*)", "type": "string"} |
datahub_ingestion_schema.json | include_deprovisioned_users | Whether to ingest users in the DEPROVISIONED state from Okta. | {"default": false, "type": "boolean"} |
datahub_ingestion_schema.json | include_suspended_users | Whether to ingest users in the SUSPENDED state from Okta. | {"default": false, "type": "boolean"} |
datahub_ingestion_schema.json | page_size | The number of entities requested from Okta's REST APIs in one request. | {"default": 100, "type": "integer"} |
datahub_ingestion_schema.json | delay_seconds | Number of seconds to wait between calls to Okta's REST APIs. (Okta rate limits). Defaults to 10ms. | {"default": 0.01, "anyOf": [{"type": "number"}, {"type": "integer"}]} |
datahub_ingestion_schema.json | okta_users_filter | Okta filter expression (not regex) for ingesting users. Only one of `okta_users_filter` and `okta_users_search` can be set. See (https://developer.okta.com/docs/reference/api/users/#list-users-with-a-filter) for more info. | {"type": "string"} |
datahub_ingestion_schema.json | okta_users_search | Okta search expression (not regex) for ingesting users. Only one of `okta_users_filter` and `okta_users_search` can be set. See (https://developer.okta.com/docs/reference/api/users/#list-users-with-search) for more info. | {"type": "string"} |
datahub_ingestion_schema.json | okta_groups_filter | Okta filter expression (not regex) for ingesting groups. Only one of `okta_groups_filter` and `okta_groups_search` can be set. See (https://developer.okta.com/docs/reference/api/groups/#filters) for more info. | {"type": "string"} |
datahub_ingestion_schema.json | okta_groups_search | Okta search expression (not regex) for ingesting groups. Only one of `okta_groups_filter` and `okta_groups_search` can be set. See (https://developer.okta.com/docs/reference/api/groups/#list-groups-with-search) for more info. | {"type": "string"} |
datahub_ingestion_schema.json | lookml_config | Any source that is a primary producer of Dataset metadata should inherit this class | {"type": "object", "properties": {"env": {"default": "PROD", "type": "string"}, "stateful_ingestion": {}, "platform_instance": {"type": "string"}, "explore_naming_pattern": {"default": {"pattern": "{model}.explore.{name}"}, "allOf": [{}]}, "explore_browse_pattern": {"default": {"pattern": "/{env}/{platform}/{project}/explores"}, "allOf": [{}]}, "view_naming_pattern": {"default": {"pattern": "{project}.view.{name}"}, "allOf": [{}]}, "view_browse_pattern": {"default": {"pattern": "/{env}/{platform}/{project}/views"}, "allOf": [{}]}, "tag_measures_and_dimensions": {"default": true, "type": "boolean"}, "platform_name": {"default": "looker", "type": "string"}, "extract_column_level_lineage": {"default": true, "type": "boolean"}, "git_info": {"allOf": [{}]}, "base_folder": {"format": "directory-path", "type": "string"}, "project_dependencies": {"default": {}, "type": "object", "additionalProperties": {"anyOf": [{"type": "string", "format": "directory-path"}, {}]}}, "connection_to_platform_map": {"type": "object", "additionalProperties": {}}, "model_pattern": {"default": {"allow": [".*"], "deny": [], "ignoreCase": true}, "allOf": [{}]}, "view_pattern": {"default": {"allow": [".*"], "deny": [], "ignoreCase": true}, "allOf": [{}]}, "parse_table_names_from_sql": {"default": false, "type": "boolean"}, "sql_parser": {"default": "datahub.utilities.sql_parser.DefaultSQLParser", "type": "string"}, "api": {}, "project_name": {"type": "string"}, "transport_options": {"allOf": [{}]}, "max_file_snippet_length": {"default": 512000, "type": "integer"}, "emit_reachable_views_only": {"default": true, "type": "boolean"}, "populate_sql_logic_for_missing_descriptions": {"default": false, "type": "boolean"}, "process_isolation_for_sql_parsing": {"default": false, "type": "boolean"}, "process_refinements": {"default": false, "type": "boolean"}}, "additionalProperties": false} |
datahub_ingestion_schema.json | env | The environment that all assets produced by this connector belong to | {"default": "PROD", "type": "string"} |
datahub_ingestion_schema.json | platform_instance | The instance of the platform that all assets produced by this recipe belong to | {"type": "string"} |
datahub_ingestion_schema.json | explore_naming_pattern | Pattern for providing dataset names to explores. Allowed variables are ['platform', 'env', 'project', 'model', 'name'] | {"default": {"pattern": "{model}.explore.{name}"}, "allOf": [{}]} |
datahub_ingestion_schema.json | explore_browse_pattern | Pattern for providing browse paths to explores. Allowed variables are ['platform', 'env', 'project', 'model', 'name'] | {"default": {"pattern": "/{env}/{platform}/{project}/explores"}, "allOf": [{}]} |
datahub_ingestion_schema.json | view_naming_pattern | Pattern for providing dataset names to views. Allowed variables are ['platform', 'env', 'project', 'model', 'name'] | {"default": {"pattern": "{project}.view.{name}"}, "allOf": [{}]} |
datahub_ingestion_schema.json | view_browse_pattern | Pattern for providing browse paths to views. Allowed variables are ['platform', 'env', 'project', 'model', 'name'] | {"default": {"pattern": "/{env}/{platform}/{project}/views"}, "allOf": [{}]} |
datahub_ingestion_schema.json | tag_measures_and_dimensions | When enabled, attaches tags to measures, dimensions and dimension groups to make them more discoverable. When disabled, adds this information to the description of the column. | {"default": true, "type": "boolean"} |
datahub_ingestion_schema.json | platform_name | Default platform name. Don't change. | {"default": "looker", "type": "string"} |
datahub_ingestion_schema.json | extract_column_level_lineage | When enabled, extracts column-level lineage from Views and Explores | {"default": true, "type": "boolean"} |
datahub_ingestion_schema.json | git_info | Reference to your git location. If present, supplies handy links to your lookml on the dataset entity page. | {"allOf": [{}]} |
datahub_ingestion_schema.json | base_folder | Required if not providing github configuration and deploy keys. A pointer to a local directory (accessible to the ingestion system) where the root of the LookML repo has been checked out (typically via a git clone). This is typically the root folder where the `*.model.lkml` and `*.view.lkml` files are stored. e.g. If you have checked out your LookML repo under `/Users/jdoe/workspace/my-lookml-repo`, then set `base_folder` to `/Users/jdoe/workspace/my-lookml-repo`. | {"format": "directory-path", "type": "string"} |
datahub_ingestion_schema.json | project_dependencies | A map of project_name to local directory (accessible to the ingestion system) or Git credentials. Every local_dependencies or private remote_dependency listed in the main project's manifest.lkml file should have a corresponding entry here. If a deploy key is not provided, the ingestion system will use the same deploy key as the main project. | {"default": {}, "type": "object", "additionalProperties": {"anyOf": [{"type": "string", "format": "directory-path"}, {}]}} |
datahub_ingestion_schema.json | connection_to_platform_map | A mapping of [Looker connection names](https://docs.looker.com/reference/model-params/connection-for-model) to DataHub platform, database, and schema values. | {"type": "object", "additionalProperties": {}} |
datahub_ingestion_schema.json | model_pattern | List of regex patterns for LookML models to include in the extraction. | {"default": {"allow": [".*"], "deny": [], "ignoreCase": true}, "allOf": [{}]} |
datahub_ingestion_schema.json | view_pattern | List of regex patterns for LookML views to include in the extraction. | {"default": {"allow": [".*"], "deny": [], "ignoreCase": true}, "allOf": [{}]} |
datahub_ingestion_schema.json | parse_table_names_from_sql | See note below. | {"default": false, "type": "boolean"} |
datahub_ingestion_schema.json | sql_parser | See note below. | {"default": "datahub.utilities.sql_parser.DefaultSQLParser", "type": "string"} |
datahub_ingestion_schema.json | project_name | Required if you don't specify the `api` section. The project name within which all the model files live. See (https://docs.looker.com/data-modeling/getting-started/how-project-works) to understand what the Looker project name should be. The simplest way to see your projects is to click on `Develop` followed by `Manage LookML Projects` in the Looker application. | {"type": "string"} |
datahub_ingestion_schema.json | transport_options | Populates the [TransportOptions](https://github.com/looker-open-source/sdk-codegen/blob/94d6047a0d52912ac082eb91616c1e7c379ab262/python/looker_sdk/rtl/transport.py#L70) struct for looker client | {"allOf": [{}]} |
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