diff --git a/metadata-ingestion/.gitignore b/metadata-ingestion/.gitignore index 3b6ec18884..e2f9faccf7 100644 --- a/metadata-ingestion/.gitignore +++ b/metadata-ingestion/.gitignore @@ -3,6 +3,7 @@ output src/datahub/metadata/ pvenv36/ +bq_credentials.json # Byte-compiled / optimized / DLL files __pycache__/ diff --git a/metadata-ingestion/examples/demo_data/.gitignore b/metadata-ingestion/examples/demo_data/.gitignore new file mode 100644 index 0000000000..33a8324f82 --- /dev/null +++ b/metadata-ingestion/examples/demo_data/.gitignore @@ -0,0 +1 @@ +/all_covid19_datasets.json diff --git a/metadata-ingestion/examples/demo_data/bigquery_covid19_to_file.yml b/metadata-ingestion/examples/demo_data/bigquery_covid19_to_file.yml new file mode 100644 index 0000000000..d9f1f6456e --- /dev/null +++ b/metadata-ingestion/examples/demo_data/bigquery_covid19_to_file.yml @@ -0,0 +1,19 @@ +--- +source: + type: bigquery + config: + project_id: "bigquery-public-data" + options: + credentials_path: "./bq_credentials.json" + table_pattern: + allow: + # Allow anything that starts with "covid19" + - "bigquery-public-data\\.covid19.*" + deny: + # Except for tables that end with an underscore. + - ".*_$" + +sink: + type: "file" + config: + filename: "./examples/demo_data/all_covid19_datasets.json" diff --git a/metadata-ingestion/examples/demo_data/demo_data.json b/metadata-ingestion/examples/demo_data/demo_data.json new file mode 100644 index 0000000000..4f6099d108 --- /dev/null +++ b/metadata-ingestion/examples/demo_data/demo_data.json @@ -0,0 +1,63599 @@ +[ + { + "auditHeader": null, + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.DatasetSnapshot": { + "urn": "urn:li:dataset:(urn:li:dataPlatform:bigquery,bigquery-public-data.covid19_aha.hospital_beds,PROD)", + "aspects": [ + { + "com.linkedin.pegasus2avro.schema.SchemaMetadata": { + "schemaName": "bigquery-public-data.covid19_aha.hospital_beds", + "platform": "urn:li:dataPlatform:bigquery", + "version": 0, + "created": { + "time": 1614978212000, + "actor": "urn:li:corpuser:etl", + "impersonator": null + }, + "lastModified": { + "time": 1614978212000, + "actor": "urn:li:corpuser:etl", + "impersonator": null + }, + "deleted": null, + "dataset": null, + "cluster": null, + "hash": "", + "platformSchema": { + "com.linkedin.pegasus2avro.schema.MySqlDDL": { + "tableSchema": "" + } + }, + "fields": [ + { + "fieldPath": "county_fips_code", + "jsonPath": null, + "nullable": false, + "description": null, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "county_name", + "jsonPath": null, + "nullable": false, + "description": null, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "state_name", + "jsonPath": null, + "nullable": false, + "description": null, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "cbsa_code", + "jsonPath": null, + "nullable": false, + "description": null, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "Integer()", + "recursive": false + }, + { + "fieldPath": "total_hospital_beds", + "jsonPath": null, + "nullable": false, + "description": null, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "Integer()", + "recursive": false + }, + { + "fieldPath": "acute_long_term_care_beds", + "jsonPath": null, + "nullable": false, + "description": null, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "Integer()", + "recursive": false + }, + { + "fieldPath": "alcohol_drug_abuse_dependency_inpatient_care_beds", + "jsonPath": null, + "nullable": false, + "description": null, 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Maps to county_fips_code in other tables" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "place_id", + "jsonPath": null, + "nullable": false, + "description": { + "string": "A textual identifier that uniquely identifies a place in the Google Places database and on Google Maps (details). For example, ChIJd_Y0eVIvkIARuQyDN0F1LBA. For details, see the following link: https://developers.google.com/places/web-service/place-id" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "date", + "jsonPath": null, + "nullable": false, + "description": { + "string": "Changes for a given date as compared to baseline. Baseline is the median value, for the corresponding day of the week, during the 5-week period Jan 3\u2013Feb 6, 2020." + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NullType": {} + } + }, + "nativeDataType": "DATE()", + "recursive": false + }, + { + "fieldPath": "retail_and_recreation_percent_change_from_baseline", + "jsonPath": null, + "nullable": false, + "description": { + "string": "Mobility trends for places like restaurants, cafes, shopping centers, theme parks, museums, libraries, and movie theaters." + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "Integer()", + "recursive": false + }, + { + "fieldPath": "grocery_and_pharmacy_percent_change_from_baseline", + "jsonPath": null, + "nullable": false, + "description": { + "string": "Mobility trends for places like grocery markets, food warehouses, farmers markets, specialty food shops, drug stores, and pharmacies." + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "Integer()", + "recursive": false + }, + { + "fieldPath": "parks_percent_change_from_baseline", + "jsonPath": null, + "nullable": false, + "description": { + "string": "Mobility trends for places like local parks, national parks, public beaches, marinas, dog parks, plazas, and public gardens." + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "Integer()", + "recursive": false + }, + { + "fieldPath": "transit_stations_percent_change_from_baseline", + "jsonPath": null, + "nullable": false, + "description": { + "string": "Mobility trends for places like public transport hubs such as subway, bus, and train stations." + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "Integer()", + "recursive": false + }, + { + "fieldPath": "workplaces_percent_change_from_baseline", + "jsonPath": null, + "nullable": false, + "description": { + "string": "Mobility trends for places of work." + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "Integer()", + "recursive": false + }, + { + "fieldPath": "residential_percent_change_from_baseline", + "jsonPath": null, + "nullable": false, + "description": { + "string": "Mobility trends for places of residence." + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "Integer()", + "recursive": false + } + ], + "primaryKeys": null, + "foreignKeysSpecs": null + } + } + ] + } + }, + "proposedDelta": null + }, + { + "auditHeader": null, + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.DatasetSnapshot": { + "urn": "urn:li:dataset:(urn:li:dataPlatform:bigquery,bigquery-public-data.covid19_govt_response.oxford_policy_tracker,PROD)", + "aspects": [ + { + "com.linkedin.pegasus2avro.schema.SchemaMetadata": { + "schemaName": "bigquery-public-data.covid19_govt_response.oxford_policy_tracker", + "platform": "urn:li:dataPlatform:bigquery", + "version": 0, + "created": { + "time": 1614978237000, + "actor": "urn:li:corpuser:etl", + "impersonator": null + }, + "lastModified": { + "time": 1614978237000, + "actor": "urn:li:corpuser:etl", + "impersonator": null + }, + "deleted": null, + "dataset": null, + "cluster": null, + "hash": "", + "platformSchema": { + "com.linkedin.pegasus2avro.schema.MySqlDDL": { + "tableSchema": "" + } + }, + "fields": [ + { + "fieldPath": "country_name", + "jsonPath": null, + "nullable": false, + "description": { + "string": "Name of the country" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "alpha_3_code", + "jsonPath": null, + "nullable": false, + "description": { + "string": "3-letter alpha code abbreviation of the country/region. See `bigquery-public-data.utility_us.country_code_iso` for more details" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "region_name", + "jsonPath": null, + "nullable": false, + "description": { + "string": "Name of the region within the country" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "region_code", + "jsonPath": null, + "nullable": false, + "description": { + "string": "Code of the region within the country" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "date", + "jsonPath": null, + "nullable": false, + "description": { + "string": "Date of the measured policy action status" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NullType": {} + } + }, + "nativeDataType": "DATE()", + "recursive": false + }, + { + "fieldPath": "school_closing", + "jsonPath": null, + "nullable": false, + "description": { + "string": "C1 - Ordinal scale record closings of schools and universities; 0 - No measures 1 - recommend closing 2 - Require closing (only some levels or categories, eg just high school, or just public schools) 3 - Require closing all levels No data - blank" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "school_closing_flag", + "jsonPath": null, + "nullable": false, + "description": { + "string": "Are C1 actions targeted at specific areas or general: 0 - Targeted 1- General No data - blank" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "school_closing_notes", + "jsonPath": null, + "nullable": false, + "description": { + "string": "Additional details about C1 policy actions" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "workplace_closing", + "jsonPath": null, + "nullable": false, + "description": { + "string": "C2 - Ordinal scale record closings of workplace; 0 - No measures 1 - recommend closing (or work from home) 2 - require closing (or work from home) for some sectors or categories of workers 3 - require closing (or work from home) all-but-essential workplaces (eg grocery stores, doctors) No data - blank" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "workplace_closing_flag", + "jsonPath": null, + "nullable": false, + "description": { + "string": "Are C2 actions targeted at specific areas or general: 0 - Targeted 1- General No data - blank" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "workplace_closing_notes", + "jsonPath": null, + "nullable": false, + "description": { + "string": "Additional details about C2 policy actions" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "cancel_public_events", + "jsonPath": null, + "nullable": false, + "description": { + "string": "C3 - Ordinal scale record cancellations of public events;0- No measures 1 - Recommend cancelling 2 - Require cancelling No data - blank" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "cancel_public_events_flag", + "jsonPath": null, + "nullable": false, + "description": { + "string": "Are C3 actions targeted at specific areas or general: 0 - Targeted 1- General No data - blank" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "cancel_public_events_notes", + "jsonPath": null, + "nullable": false, + "description": { + "string": "Additional details about C3 policy actions" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "restrictions_on_gatherings", + "jsonPath": null, + "nullable": false, + "description": { + "string": "C4 - Ordinal scale to record the cut-off size for bans on private gatherings; 0 - No restrictions 1 - Restrictions on very large gatherings (the limit is above 1000 people) 2 - Restrictions on gatherings between 100-1000 people 3 - Restrictions on gatherings between 10-100 people 4 - Restrictions on gatherings of less than 10 people No data - blank" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "restrictions_on_gatherings_flag", + "jsonPath": null, + "nullable": false, + "description": { + "string": "Are C4 actions targeted at specific areas or general: 0 - Targeted 1- General No data - blank" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "restrictions_on_gatherings_notes", + "jsonPath": null, + "nullable": false, + "description": { + "string": "Additional details about C4 policy actions" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "close_public_transit", + "jsonPath": null, + "nullable": false, + "description": { + "string": "C5 - Ordinal scale to record closing of public transportation; 0 - No measures 1 - Recommend closing (or significantly reduce volume/route/means of transport available) 2 - Require closing (or prohibit most citizens from using it)" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "close_public_transit_flag", + "jsonPath": null, + "nullable": false, + "description": { + "string": "Are C5 actions targeted at specific areas or general: 0 - Targeted 1- General No data - blank" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "close_public_transit_notes", + "jsonPath": null, + "nullable": false, + "description": { + "string": "Additional details about C5 policy actions" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "stay_at_home_requirements", + "jsonPath": null, + "nullable": false, + "description": { + "string": "C6 - Ordinal scale record of orders to \u201cshelter-in- place\u201d and otherwise confine to home." + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "stay_at_home_requirements_flag", + "jsonPath": null, + "nullable": false, + "description": { + "string": "Are C6 actions targeted at specific areas or general: 0 - Targeted 1- General No data - blank\"\\" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "stay_at_home_requirements_notes", + "jsonPath": null, + "nullable": false, + "description": { + "string": "Additional details about C6 policy actions" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "restrictions_on_internal_movement", + "jsonPath": null, + "nullable": false, + "description": { + "string": "C7 - Ordinal scale of restrictions on internal movement; 0 - No measures 1 - Recommend closing (or significantly reduce volume/route/means of transport) 2 - Require closing (or prohibit most people from using it)" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "restrictions_on_internal_movement_flag", + "jsonPath": null, + "nullable": false, + "description": { + "string": "Are C7 actions targeted at specific areas or general: 0 - Targeted 1- General No data - blank" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "restrictions_on_internal_movement_notes", + "jsonPath": null, + "nullable": false, + "description": { + "string": "Additional details about C7 policy actions" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "international_travel_controls", + "jsonPath": null, + "nullable": false, + "description": { + "string": "C8 - Ordinal scale record of restrictions on international travel; 0 - No measures 1 - Screening 2 - Quarantine arrivals from high-risk regions 3 - Ban on high-risk regions 4 - Total border closure No data - blank" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "international_travel_controls_notes", + "jsonPath": null, + "nullable": false, + "description": { + "string": "Additional details about C8 policy actions" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "income_support", + "jsonPath": null, + "nullable": false, + "description": { + "string": "E1 - Ordinal scale record if the government is covering the salaries or providing direct cash payments, universal basic income, or similar, of people who lose their jobs or cannot work. (Includes payments to firms if explicitly linked to payroll/ salaries)" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "income_support_flag", + "jsonPath": null, + "nullable": false, + "description": { + "string": "Sector scope of E1 actions; 0 - formal sector workers only 1 - transfers to informal sector workers too No data - blank" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "income_support_notes", + "jsonPath": null, + "nullable": false, + "description": { + "string": "Additional details about E1 policy actions" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "debt_contract_relief", + "jsonPath": null, + "nullable": false, + "description": { + "string": "E2 - Record if govt. is freezing financial obligations (eg stopping loan repayments, preventing services like water from stopping, or banning evictions)" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "debt_contract_relief_notes", + "jsonPath": null, + "nullable": false, + "description": { + "string": "Additional details about E2 policy actions" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "fiscal_measures", + "jsonPath": null, + "nullable": false, + "description": { + "string": "E3 - What economic stimulus policies are adopted (in USD); Record monetary value USD of fiscal stimuli, including spending or tax cuts NOT included in S10 (see below) -If none, enter 0 No data - blank Please use the exchange rate of the date you are coding, not the current date." + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "Float()", + "recursive": false + }, + { + "fieldPath": "fiscal_measures_notes", + "jsonPath": null, + "nullable": false, + "description": { + "string": "Additional details about E3 policy actions" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "international_support", + "jsonPath": null, + "nullable": false, + "description": { + "string": "E4 - Announced offers of COVID-19 related aid spending to other countries (in USD); Record monetary value announced if additional to previously announced spending -if none, enter 0 No data - blank Please use the exchange rate of the date you are coding, not the current date." + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "Float()", + "recursive": false + }, + { + "fieldPath": "international_support_notes", + "jsonPath": null, + "nullable": false, + "description": { + "string": "Additional details about E4 policy actions" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "public_information_campaigns", + "jsonPath": null, + "nullable": false, + "description": { + "string": "H1 - Ordinal scale record presence of public info campaigns; 0 -No COVID-19 public information campaign 1 - public officials urging caution about COVID-19 2 - coordinated public information campaign (e.g. across traditional and social media) No data - blank" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "public_information_campaigns_flag", + "jsonPath": null, + "nullable": false, + "description": { + "string": "Sector scope of H1 actions; 0 - formal sector workers only 1 - transfers to informal sector workers too No data - blank" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "public_information_campaigns_notes", + "jsonPath": null, + "nullable": false, + "description": { + "string": "Additional details about H1 policy actions" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "testing_policy", + "jsonPath": null, + "nullable": false, + "description": { + "string": "H2 - Ordinal scale record of who can get tested; 0 \u2013 No testing policy 1 \u2013 Only those who both (a) have symptoms AND (b) meet specific criteria (eg key workers, admitted to hospital, came into contact with a known case, returned from overseas) 2 \u2013 testing of anyone showing COVID-19 symptoms 3 \u2013 open public testing (eg \u201cdrive through\u201d testing available to asymptomatic people) No data Nb we are looking for policies about testing for having an infection (PCR tests) - not for policies about testing for immunity (antibody tests)." + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "testing_policy_notes", + "jsonPath": null, + "nullable": false, + "description": { + "string": "Additional details about H2 policy actions" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "contact_tracing", + "jsonPath": null, + "nullable": false, + "description": { + "string": "H3 - Ordinal scale record if governments doing contact tracing; 0 - No contact tracing 1 - Limited contact tracing - not done for all cases 2 - Comprehensive contact tracing - done for all cases No data" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "contact_tracing_notes", + "jsonPath": null, + "nullable": false, + "description": { + "string": "Additional details about H3 policy actions" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "emergency_healthcare_investment", + "jsonPath": null, + "nullable": false, + "description": { + "string": "H4 - Short-term spending on, e.g, hospitals, masks, etc in USD; Record monetary value in USD of new short-term spending on health. If none, enter 0. No data - blank Please use the exchange rate of the date you are coding, not the current date." + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "Float()", + "recursive": false + }, + { + "fieldPath": "emergency_healthcare_investment_notes", + "jsonPath": null, + "nullable": false, + "description": { + "string": "Additional details about H4 policy actions" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "vaccine_investment", + "jsonPath": null, + "nullable": false, + "description": { + "string": "H5 - Announced public spending on vaccine development in USD; Record monetary value in USD of new short-term spending on health. If none, enter 0. No data - blank Please use the exchange rate of the date you are coding, not the current date." + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "Float()", + "recursive": false + }, + { + "fieldPath": "vaccine_investment_notes", + "jsonPath": null, + "nullable": false, + "description": { + "string": "Additional details about H5 policy actions" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "misc_wildcard", + "jsonPath": null, + "nullable": false, + "description": { + "string": "M1 - Record policy announcements that do not fit anywhere else" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "misc_wildcard_notes", + "jsonPath": null, + "nullable": false, + "description": { + "string": "Additional details about M1 policy actions" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "String()", + "recursive": false + }, + { + "fieldPath": "confirmed_cases", + "jsonPath": null, + "nullable": false, + "description": { + "string": "Number of confirmed COVID-19 cases" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "Integer()", + "recursive": false + }, + { + "fieldPath": "deaths", + "jsonPath": null, + "nullable": false, + "description": { + "string": "Number of confirmed COVID-19 deaths" + }, + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "Integer()", + "recursive": false + }, + { + "fieldPath": "stringency_index", + "jsonPath": null, + "nullable": false, + "description": { + "string": "Used after April 28, 2020. Nine-point aggregation of the eight containment and closure indicators as well as H1 (public information campaigns). It reports a number between 0 to 100 that reflects the overall stringency of the governments response. 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+table,drop,owners,depends_on +bigquery-public-data.covid19_aha.hospital_beds,,American Heart Association, +bigquery-public-data.covid19_aha.staffing,,American Heart Association, +bigquery-public-data.covid19_ecdc.covid_19_geographic_distribution_worldwide,,European Centre for Disease Prevention and Control, +bigquery-public-data.covid19_ecdc_eu.covid_19_geographic_distribution_worldwide,x,European Centre for Disease Prevention and Control, +bigquery-public-data.covid19_geotab_mobility_impact.airport_traffic,,Geotab, +bigquery-public-data.covid19_geotab_mobility_impact.city_congestion,,Geotab, +bigquery-public-data.covid19_geotab_mobility_impact.commercial_traffic,,Geotab,bigquery-public-data.covid19_geotab_mobility_impact.commercial_traffic_by_industry +bigquery-public-data.covid19_geotab_mobility_impact.commercial_traffic_by_industry,,Geotab, +bigquery-public-data.covid19_geotab_mobility_impact.fuel_station_daily_fillups,,Geotab, +bigquery-public-data.covid19_geotab_mobility_impact.fuel_station_weekly_fillups,,Geotab,bigquery-public-data.covid19_geotab_mobility_impact.fuel_station_daily_fillups +bigquery-public-data.covid19_geotab_mobility_impact.lookup_region,,Geotab, +bigquery-public-data.covid19_geotab_mobility_impact.port_traffic,,Geotab, +bigquery-public-data.covid19_geotab_mobility_impact.us_border_volumes,,Geotab, +bigquery-public-data.covid19_geotab_mobility_impact.us_border_wait_times,,Geotab, +bigquery-public-data.covid19_geotab_mobility_impact_eu.airport_traffic,x,Geotab, +bigquery-public-data.covid19_geotab_mobility_impact_eu.city_congestion,x,Geotab, +bigquery-public-data.covid19_geotab_mobility_impact_eu.commercial_traffic,x,Geotab, +bigquery-public-data.covid19_geotab_mobility_impact_eu.commercial_traffic_by_industry,x,Geotab, +bigquery-public-data.covid19_geotab_mobility_impact_eu.fuel_station_daily_fillups,x,Geotab, +bigquery-public-data.covid19_geotab_mobility_impact_eu.fuel_station_weekly_fillups,x,Geotab, +bigquery-public-data.covid19_geotab_mobility_impact_eu.lookup_region,x,Geotab, +bigquery-public-data.covid19_geotab_mobility_impact_eu.port_traffic,x,Geotab, +bigquery-public-data.covid19_geotab_mobility_impact_eu.us_border_volumes,x,Geotab, +bigquery-public-data.covid19_geotab_mobility_impact_eu.us_border_wait_times,x,Geotab, +bigquery-public-data.covid19_google_mobility.mobility_report,,Google, +bigquery-public-data.covid19_google_mobility_eu.mobility_report,x,Google, +bigquery-public-data.covid19_govt_response.oxford_policy_tracker,,Oxford, +bigquery-public-data.covid19_italy.data_by_province,,Italian National Institute of Health, +bigquery-public-data.covid19_italy.data_by_region,,Italian National Institute of Health,bigquery-public-data.covid19_italy.data_by_province +bigquery-public-data.covid19_italy.national_trends,,Italian National Institute of Health,bigquery-public-data.covid19_italy.data_by_region +bigquery-public-data.covid19_italy_eu.data_by_province,x,, +bigquery-public-data.covid19_italy_eu.data_by_region,x,, +bigquery-public-data.covid19_italy_eu.national_trends,x,, +bigquery-public-data.covid19_jhu_csse.confirmed_cases,x,, +bigquery-public-data.covid19_jhu_csse.deaths,x,, +bigquery-public-data.covid19_jhu_csse.recovered_cases,x,, +bigquery-public-data.covid19_jhu_csse.summary,x,, +bigquery-public-data.covid19_jhu_csse_eu.confirmed_cases,x,, +bigquery-public-data.covid19_jhu_csse_eu.deaths,x,, +bigquery-public-data.covid19_jhu_csse_eu.recovered_cases,x,, +bigquery-public-data.covid19_jhu_csse_eu.summary,x,, +bigquery-public-data.covid19_nyt.excess_deaths,,New York Times, +bigquery-public-data.covid19_nyt.mask_use_by_county,,New York Times, +bigquery-public-data.covid19_nyt.us_counties,,New York Times, +bigquery-public-data.covid19_nyt.us_states,,New York Times,bigquery-public-data.covid19_nyt.us_counties +bigquery-public-data.covid19_open_data.covid19_open_data,,Google, +bigquery-public-data.covid19_open_data_eu.covid19_open_data,x,, +bigquery-public-data.covid19_public_forecasts.county_14d,,"Harvard Global Health Institute, Google", +bigquery-public-data.covid19_public_forecasts.county_14d_historical,,"Harvard Global Health Institute, Google",bigquery-public-data.covid19_public_forecasts.county_14d +bigquery-public-data.covid19_public_forecasts.county_14d_historical_,x,"Harvard Global Health Institute, Google", +bigquery-public-data.covid19_public_forecasts.county_28d,,"Harvard Global Health Institute, Google",bigquery-public-data.covid19_public_forecasts.county_14d +bigquery-public-data.covid19_public_forecasts.county_28d_historical,,"Harvard Global Health Institute, Google",bigquery-public-data.covid19_public_forecasts.county_28d +bigquery-public-data.covid19_public_forecasts.county_28d_historical_,x,"Harvard Global Health Institute, Google", +bigquery-public-data.covid19_public_forecasts.japan_prefecture_28d,,"Harvard Global Health Institute, Google", +bigquery-public-data.covid19_public_forecasts.japan_prefecture_28d_historical,,"Harvard Global Health Institute, Google",bigquery-public-data.covid19_public_forecasts.japan_prefecture_28d +bigquery-public-data.covid19_public_forecasts.japan_prefecture_28d_historical_,x,"Harvard Global Health Institute, Google", +bigquery-public-data.covid19_public_forecasts.state_14d,,"Harvard Global Health Institute, Google",bigquery-public-data.covid19_public_forecasts.county_14d +bigquery-public-data.covid19_public_forecasts.state_14d_historical,,"Harvard Global Health Institute, Google",bigquery-public-data.covid19_public_forecasts.state_14d +bigquery-public-data.covid19_public_forecasts.state_14d_historical_,x,"Harvard Global Health Institute, Google", +bigquery-public-data.covid19_public_forecasts.state_28d,,"Harvard Global Health Institute, Google","bigquery-public-data.covid19_public_forecasts.state_14d, bigquery-public-data.covid19_public_forecasts.county_28d" +bigquery-public-data.covid19_public_forecasts.state_28d_historical,,"Harvard Global Health Institute, Google",bigquery-public-data.covid19_public_forecasts.state_28d +bigquery-public-data.covid19_public_forecasts.state_28d_historical_,x,"Harvard Global Health Institute, Google", +bigquery-public-data.covid19_public_forecasts_asia_ne1.county_14d,x,, +bigquery-public-data.covid19_public_forecasts_asia_ne1.county_14d_historical,x,, +bigquery-public-data.covid19_public_forecasts_asia_ne1.county_14d_historical_,x,, +bigquery-public-data.covid19_public_forecasts_asia_ne1.county_28d,x,, +bigquery-public-data.covid19_public_forecasts_asia_ne1.county_28d_historical,x,, +bigquery-public-data.covid19_public_forecasts_asia_ne1.county_28d_historical_,x,, +bigquery-public-data.covid19_public_forecasts_asia_ne1.japan_prefecture_28d,x,, +bigquery-public-data.covid19_public_forecasts_asia_ne1.japan_prefecture_28d_historical,x,, +bigquery-public-data.covid19_public_forecasts_asia_ne1.japan_prefecture_28d_historical_,x,, +bigquery-public-data.covid19_public_forecasts_asia_ne1.state_14d,x,, +bigquery-public-data.covid19_public_forecasts_asia_ne1.state_14d_historical,x,, +bigquery-public-data.covid19_public_forecasts_asia_ne1.state_14d_historical_,x,, +bigquery-public-data.covid19_public_forecasts_asia_ne1.state_28d,x,, +bigquery-public-data.covid19_public_forecasts_asia_ne1.state_28d_historical,x,, +bigquery-public-data.covid19_public_forecasts_asia_ne1.state_28d_historical_,x,, +bigquery-public-data.covid19_rxrx19.rxrx19a_embeddings,x,, +bigquery-public-data.covid19_rxrx19.rxrx19a_metadata,x,, +bigquery-public-data.covid19_rxrx19.rxrx19b_embeddings,x,, +bigquery-public-data.covid19_rxrx19.rxrx19b_metadata,x,, +bigquery-public-data.covid19_symptom_search.symptom_search_country_daily,,Google,"bigquery-public-data.covid19_symptom_search.symptom_search_sub_region_1_daily, bigquery-public-data.covid19_symptom_search.symptom_search_sub_region_2_daily" +bigquery-public-data.covid19_symptom_search.symptom_search_country_weekly,,Google,"bigquery-public-data.covid19_symptom_search.symptom_search_sub_region_1_weekly, bigquery-public-data.covid19_symptom_search.symptom_search_sub_region_2_weekly" +bigquery-public-data.covid19_symptom_search.symptom_search_sub_region_1_daily,,Google, +bigquery-public-data.covid19_symptom_search.symptom_search_sub_region_1_weekly,,Google,bigquery-public-data.covid19_symptom_search.symptom_search_sub_region_1_daily +bigquery-public-data.covid19_symptom_search.symptom_search_sub_region_2_daily,,Google, +bigquery-public-data.covid19_symptom_search.symptom_search_sub_region_2_weekly,,Google,bigquery-public-data.covid19_symptom_search.symptom_search_sub_region_2_daily +bigquery-public-data.covid19_usafacts.confirmed_cases,,USAFacts, +bigquery-public-data.covid19_usafacts.deaths,,USAFacts, +bigquery-public-data.covid19_usafacts.summary,,USAFacts,"bigquery-public-data.covid19_usafacts.confirmed_cases, bigquery-public-data.covid19_usafacts.deaths" +bigquery-public-data.covid19_weathersource_com.county_day_forecast,,Weather Source,bigquery-public-data.covid19_weathersource_com.county_day_history +bigquery-public-data.covid19_weathersource_com.county_day_history,,Weather Source,bigquery-public-data.covid19_weathersource_com.postal_code_day_history +bigquery-public-data.covid19_weathersource_com.postal_code_day_forecast,,Weather Source,bigquery-public-data.covid19_weathersource_com.postal_code_day_history +bigquery-public-data.covid19_weathersource_com.postal_code_day_history,,Weather Source, \ No newline at end of file diff --git a/metadata-ingestion/examples/demo_data/enrich.py b/metadata-ingestion/examples/demo_data/enrich.py new file mode 100644 index 0000000000..288be364a3 --- /dev/null +++ b/metadata-ingestion/examples/demo_data/enrich.py @@ -0,0 +1,187 @@ +""" +After running the recipe in this directory, we get a large JSON file called all_covid19_datasets.json. +This script reads that JSON file, adds to it using the directives pull from a Google sheet, and +produces a new JSON file called demo_data.json. +""" + +from typing import List + +import pathlib +import json +import csv +import dataclasses +import time +from datahub.metadata.schema_classes import ( + MetadataChangeEventClass, + DatasetSnapshotClass, + OwnershipClass, + OwnerClass, + OwnershipTypeClass, + CorpUserSnapshotClass, + CorpUserInfoClass, + AuditStampClass, + UpstreamLineageClass, + UpstreamClass, + DatasetLineageTypeClass, +) + +DEMO_DATA_DIR = pathlib.Path("./examples/demo_data") +INPUT_ALL_DATASETS = DEMO_DATA_DIR / "all_covid19_datasets.json" +OUTPUT_ENRICHED = DEMO_DATA_DIR / "demo_data.json" +DIRECTIVES_CSV = DEMO_DATA_DIR / "directives.csv" + + +@dataclasses.dataclass +class Directive: + table: str + drop: bool + owners: List[str] + depends_on: List[str] + + +def read_mces(path) -> List[MetadataChangeEventClass]: + with open(path) as f: + objs = json.load(f) + mces = [MetadataChangeEventClass.from_obj(obj) for obj in objs] + return mces + + +def write_mces(path, mces: List[MetadataChangeEventClass]) -> None: + objs = [mce.to_obj() for mce in mces] + with open(path, "w") as f: + json.dump(objs, f, indent=4) + + +def parse_directive(row) -> Directive: + return Directive( + table=row["table"], + drop=bool(row["drop"]), + owners=[x.strip() for x in row["owners"].split(",") if x], + depends_on=[x.strip() for x in row["depends_on"].split(",") if x], + ) + + +def fetch_directives() -> List[Directive]: + with open(DIRECTIVES_CSV, "r") as f: + reader = csv.DictReader(f) + rows = [parse_directive(row) for row in reader] + return rows + + +def dataset_name_to_urn(name: str) -> str: + return f"urn:li:dataset:(urn:li:dataPlatform:bigquery,{name},PROD)" + + +def clean_owner_name(name: str) -> str: + clean = "".join(c for c in name if c.isalpha()) + return clean + + +def owner_name_to_urn(name: str) -> str: + return f"urn:li:corpuser:{name}" + + +def create_owner_entity_mce(owner: str) -> MetadataChangeEventClass: + clean_name = clean_owner_name(owner) + return MetadataChangeEventClass( + proposedSnapshot=CorpUserSnapshotClass( + urn=owner_name_to_urn(clean_name), + aspects=[ + CorpUserInfoClass( + active=True, + displayName=owner, + fullName=owner, + email=f"{clean_name}-demo@example.com", + ) + ], + ) + ) + + +def create_ownership_aspect_mce(directive: Directive) -> MetadataChangeEventClass: + return MetadataChangeEventClass( + proposedSnapshot=DatasetSnapshotClass( + urn=dataset_name_to_urn(directive.table), + aspects=[ + OwnershipClass( + owners=[ + OwnerClass( + owner=owner_name_to_urn(clean_owner_name(owner)), + type=OwnershipTypeClass.DATAOWNER, # type: ignore + ) + for owner in directive.owners + ], + lastModified=AuditStampClass( + time=int(time.time() * 1000), + actor="urn:li:corpuser:datahub", + ), + ) + ], + ) + ) + + +def create_lineage_aspect_mce(directive: Directive) -> MetadataChangeEventClass: + return MetadataChangeEventClass( + proposedSnapshot=DatasetSnapshotClass( + urn=dataset_name_to_urn(directive.table), + aspects=[ + UpstreamLineageClass( + upstreams=[ + UpstreamClass( + dataset=dataset_name_to_urn(upstream), + type=DatasetLineageTypeClass.TRANSFORMED, # type: ignore + auditStamp=AuditStampClass( + time=int(time.time() * 1000), + actor="urn:li:corpuser:datahub", + ), + ) + for upstream in directive.depends_on + ] + ) + ], + ) + ) + + +if __name__ == "__main__": + datasets = read_mces(INPUT_ALL_DATASETS) + all_directives = fetch_directives() + directives = [directive for directive in all_directives if not directive.drop] + + all_dataset_urns = { + dataset_name_to_urn(directive.table) for directive in all_directives + } + allowed_urns = { + dataset_name_to_urn(directive.table) + for directive in all_directives + if not directive.drop + } + + assert all(dataset.proposedSnapshot.urn in all_dataset_urns for dataset in datasets) + filtered_dataset_mces = [ + dataset for dataset in datasets if dataset.proposedSnapshot.urn in allowed_urns + ] + + owner_names = {owner for directive in directives for owner in directive.owners} + owner_entity_mces = [create_owner_entity_mce(owner) for owner in owner_names] + + ownership_aspect_mces = [ + create_ownership_aspect_mce(directive) + for directive in directives + if directive.owners + ] + + lineage_aspect_mces = [ + create_lineage_aspect_mce(directive) + for directive in directives + if directive.depends_on + ] + + enriched_mces = ( + filtered_dataset_mces + + owner_entity_mces + + ownership_aspect_mces + + lineage_aspect_mces + ) + write_mces(OUTPUT_ENRICHED, enriched_mces) diff --git a/metadata-ingestion/examples/demo_data/generate_demo_data.sh b/metadata-ingestion/examples/demo_data/generate_demo_data.sh new file mode 100755 index 0000000000..90c30f2b71 --- /dev/null +++ b/metadata-ingestion/examples/demo_data/generate_demo_data.sh @@ -0,0 +1,18 @@ +#!/bin/bash + +# This script will use the YML files in examples/demo_data to generate +# all_covid19_datasets.json, directives.csv, and finally demo_data.json. + +set -euxo pipefail +DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )" + +# Fetch public COVID-19 datasets from BigQuery. +datahub ingest -c $DIR/bigquery_covid19_to_file.yml + +# Pull the directives CSV from Google sheets. +# See https://docs.google.com/spreadsheets/d/17c5SBiXEw5PuV7oEkC2uQnX55C6TPZTnr6XRQ6X-Qy0/edit#gid=0. +DIRECTIVES_URL="https://docs.google.com/spreadsheets/d/e/2PACX-1vSUtBW2wEb3AO0fk8XsZRauVzdFpXb3Jj_G3L3ngmNPUsnB-12KW_JRXIqpXpZYeYMuaiQQrM8Huu3f/pub?gid=0&single=true&output=csv" +curl -L "${DIRECTIVES_URL}" --output $DIR/directives.csv + +# Enrich the COVID-19 datasets using the directives. +python $DIR/enrich.py diff --git a/metadata-ingestion/src/datahub/ingestion/api/report.py b/metadata-ingestion/src/datahub/ingestion/api/report.py index 6af769b3b9..e2efdba1fd 100644 --- a/metadata-ingestion/src/datahub/ingestion/api/report.py +++ b/metadata-ingestion/src/datahub/ingestion/api/report.py @@ -9,7 +9,7 @@ class Report: return self.__dict__ def as_string(self) -> str: - return pprint.pformat(self.as_obj(), width=120) + return pprint.pformat(self.as_obj(), width=150) def as_json(self) -> str: return json.dumps(self.as_obj()) diff --git a/metadata-ingestion/src/datahub/ingestion/source/sql_common.py b/metadata-ingestion/src/datahub/ingestion/source/sql_common.py index 2f9a340721..6ee08b01c7 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/sql_common.py +++ b/metadata-ingestion/src/datahub/ingestion/source/sql_common.py @@ -97,6 +97,7 @@ _field_type_mapping = { types.Boolean: BooleanTypeClass, types.Enum: EnumTypeClass, types._Binary: BytesTypeClass, + types.LargeBinary: BytesTypeClass, types.PickleType: BytesTypeClass, types.ARRAY: ArrayTypeClass, types.String: StringTypeClass, @@ -104,6 +105,15 @@ _field_type_mapping = { # assigns the NullType by default. We want to carry this warning through. types.NullType: NullTypeClass, } +_known_unknown_field_types = { + types.Date, + types.Time, + types.DateTime, + types.Interval, + types.DATE, + types.DATETIME, + types.TIMESTAMP, +} def get_column_type( @@ -118,6 +128,11 @@ def get_column_type( if isinstance(column_type, sql_type): TypeClass = _field_type_mapping[sql_type] break + if TypeClass is None: + for sql_type in _known_unknown_field_types: + if isinstance(column_type, sql_type): + TypeClass = NullTypeClass + break if TypeClass is None: sql_report.report_warning(