mirror of
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fix(ingest/lookml): emit all views with same name and different file path (#9279)
This commit is contained in:
Mayuri Nehate
GitHub
parent
298b9becb0
commit
a34fdfd8b7
@ -1982,9 +1982,16 @@ class LookMLSource(StatefulIngestionSourceBase):
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self.reporter,
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)
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# some views can be mentioned by multiple 'include' statements and can be included via different connections.
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# So this set is used to prevent creating duplicate events
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# Some views can be mentioned by multiple 'include' statements and can be included via different connections.
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# This map is used to keep track of which views files have already been processed
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# for a connection in order to prevent creating duplicate events.
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# Key: connection name, Value: view file paths
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processed_view_map: Dict[str, Set[str]] = {}
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# This map is used to keep track of the connection that a view is processed with.
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# Key: view unique identifier - determined by variables present in config `view_naming_pattern`
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# Value: Tuple(model file name, connection name)
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view_connection_map: Dict[str, Tuple[str, str]] = {}
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# The ** means "this directory and all subdirectories", and hence should
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@ -2148,13 +2155,17 @@ class LookMLSource(StatefulIngestionSourceBase):
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if self.source_config.view_pattern.allowed(
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maybe_looker_view.id.view_name
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):
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view_urn = maybe_looker_view.id.get_urn(
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self.source_config
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)
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view_connection_mapping = view_connection_map.get(
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maybe_looker_view.id.view_name
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view_urn
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)
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if not view_connection_mapping:
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view_connection_map[
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maybe_looker_view.id.view_name
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] = (model_name, model.connection)
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view_connection_map[view_urn] = (
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model_name,
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model.connection,
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)
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# first time we are discovering this view
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logger.debug(
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f"Generating MCP for view {raw_view['name']}"
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@ -0,0 +1,7 @@
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connection: "my_connection"
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include: "path1/foo.view.lkml"
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explore: aliased_explore {
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from: my_view
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}
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@ -0,0 +1,6 @@
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connection: "my_connection"
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include: "path2/foo.view.lkml"
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explore: duplicate_explore {
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from: my_view
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}
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@ -0,0 +1,47 @@
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view: my_view {
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derived_table: {
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sql:
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SELECT
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is_latest,
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country,
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city,
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timestamp,
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measurement
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FROM
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my_table ;;
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}
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dimension: country {
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type: string
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description: "The country"
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sql: ${TABLE}.country ;;
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}
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dimension: city {
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type: string
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description: "City"
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sql: ${TABLE}.city ;;
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}
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dimension: is_latest {
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type: yesno
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description: "Is latest data"
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sql: ${TABLE}.is_latest ;;
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}
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dimension_group: timestamp {
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group_label: "Timestamp"
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type: time
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description: "Timestamp of measurement"
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sql: ${TABLE}.timestamp ;;
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timeframes: [hour, date, week, day_of_week]
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}
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measure: average_measurement {
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group_label: "Measurement"
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type: average
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description: "My measurement"
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sql: ${TABLE}.measurement ;;
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}
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}
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@ -0,0 +1,41 @@
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view: my_view {
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derived_table: {
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sql:
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SELECT
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is_latest,
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country,
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city,
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timestamp,
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measurement
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FROM
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my_table ;;
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}
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dimension: city {
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type: string
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description: "City"
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sql: ${TABLE}.city ;;
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}
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dimension: is_latest {
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type: yesno
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description: "Is latest data"
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sql: ${TABLE}.is_latest ;;
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}
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dimension_group: timestamp {
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group_label: "Timestamp"
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type: time
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description: "Timestamp of measurement"
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sql: ${TABLE}.timestamp ;;
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timeframes: [hour, date, week, day_of_week]
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}
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measure: average_measurement {
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group_label: "Measurement"
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type: average
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description: "My measurement"
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sql: ${TABLE}.measurement ;;
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}
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}
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@ -0,0 +1,587 @@
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[
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{
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"proposedSnapshot": {
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"com.linkedin.pegasus2avro.metadata.snapshot.DatasetSnapshot": {
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"urn": "urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.path1.foo.view.my_view,PROD)",
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"aspects": [
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{
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"com.linkedin.pegasus2avro.common.BrowsePaths": {
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"paths": [
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"/prod/looker/lkml_samples/path1/foo.view.lkml/views"
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]
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}
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},
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{
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"com.linkedin.pegasus2avro.common.Status": {
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"removed": false
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}
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},
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{
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"com.linkedin.pegasus2avro.dataset.UpstreamLineage": {
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"upstreams": [
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{
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"auditStamp": {
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"time": 1586847600000,
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"actor": "urn:li:corpuser:datahub"
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},
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"dataset": "urn:li:dataset:(urn:li:dataPlatform:snowflake,warehouse.default_db.default_schema.my_table,DEV)",
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"type": "VIEW"
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}
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]
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}
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},
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{
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"com.linkedin.pegasus2avro.schema.SchemaMetadata": {
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"schemaName": "my_view",
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"platform": "urn:li:dataPlatform:looker",
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"version": 0,
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"created": {
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"time": 0,
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"actor": "urn:li:corpuser:unknown"
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},
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"lastModified": {
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"time": 0,
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"actor": "urn:li:corpuser:unknown"
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},
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"hash": "",
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"platformSchema": {
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"com.linkedin.pegasus2avro.schema.OtherSchema": {
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"rawSchema": ""
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}
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},
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"fields": [
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{
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"fieldPath": "country",
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"nullable": false,
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"description": "The country",
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"label": "",
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"type": {
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"type": {
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"com.linkedin.pegasus2avro.schema.StringType": {}
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}
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},
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"nativeDataType": "string",
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"recursive": false,
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"globalTags": {
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"tags": [
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{
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"tag": "urn:li:tag:Dimension"
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}
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]
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},
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"isPartOfKey": false
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},
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{
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"fieldPath": "city",
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"nullable": false,
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"description": "City",
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"label": "",
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"type": {
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"type": {
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"com.linkedin.pegasus2avro.schema.StringType": {}
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}
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},
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"nativeDataType": "string",
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"recursive": false,
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"globalTags": {
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"tags": [
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{
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"tag": "urn:li:tag:Dimension"
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}
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]
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},
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"isPartOfKey": false
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},
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{
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"fieldPath": "is_latest",
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"nullable": false,
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"description": "Is latest data",
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"label": "",
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"type": {
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"type": {
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"com.linkedin.pegasus2avro.schema.BooleanType": {}
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}
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},
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"nativeDataType": "yesno",
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"recursive": false,
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"globalTags": {
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"tags": [
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{
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"tag": "urn:li:tag:Dimension"
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}
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]
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},
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"isPartOfKey": false
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},
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{
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"fieldPath": "timestamp",
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"nullable": false,
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"description": "Timestamp of measurement",
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"label": "",
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"type": {
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"type": {
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"com.linkedin.pegasus2avro.schema.TimeType": {}
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}
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},
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"nativeDataType": "time",
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"recursive": false,
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"globalTags": {
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"tags": [
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{
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"tag": "urn:li:tag:Dimension"
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},
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{
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"tag": "urn:li:tag:Temporal"
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}
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]
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},
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"isPartOfKey": false
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},
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{
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"fieldPath": "average_measurement",
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"nullable": false,
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"description": "My measurement",
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"label": "",
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"type": {
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"type": {
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"com.linkedin.pegasus2avro.schema.NumberType": {}
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}
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},
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"nativeDataType": "average",
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"recursive": false,
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"globalTags": {
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"tags": [
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{
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"tag": "urn:li:tag:Measure"
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}
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]
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},
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"isPartOfKey": false
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}
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],
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"primaryKeys": []
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}
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},
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{
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"com.linkedin.pegasus2avro.dataset.DatasetProperties": {
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"customProperties": {
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"looker.file.path": "path1/foo.view.lkml"
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},
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"name": "my_view",
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"tags": []
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}
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}
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]
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}
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},
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"systemMetadata": {
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"lastObserved": 1586847600000,
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"runId": "lookml-test",
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"lastRunId": "no-run-id-provided"
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}
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},
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{
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"entityType": "dataset",
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"entityUrn": "urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.path1.foo.view.my_view,PROD)",
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"changeType": "UPSERT",
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"aspectName": "subTypes",
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"aspect": {
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"json": {
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"typeNames": [
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"View"
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]
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}
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},
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"systemMetadata": {
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"lastObserved": 1586847600000,
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"runId": "lookml-test",
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"lastRunId": "no-run-id-provided"
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}
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},
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{
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"entityType": "dataset",
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"entityUrn": "urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.path1.foo.view.my_view,PROD)",
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"changeType": "UPSERT",
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"aspectName": "viewProperties",
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"aspect": {
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"json": {
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"materialized": false,
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"viewLogic": "SELECT\n is_latest,\n country,\n city,\n timestamp,\n measurement\n FROM\n my_table",
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"viewLanguage": "sql"
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}
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},
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"systemMetadata": {
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"lastObserved": 1586847600000,
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"runId": "lookml-test",
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"lastRunId": "no-run-id-provided"
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}
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},
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{
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"entityType": "dataset",
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"entityUrn": "urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.path1.foo.view.my_view,PROD)",
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"changeType": "UPSERT",
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"aspectName": "browsePathsV2",
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"aspect": {
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"json": {
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"path": [
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{
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"id": "looker"
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},
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{
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"id": "lkml_samples"
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},
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{
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"id": "path1"
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},
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{
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"id": "foo.view.lkml"
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},
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{
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"id": "views"
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}
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]
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}
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},
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"systemMetadata": {
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"lastObserved": 1586847600000,
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"runId": "lookml-test",
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"lastRunId": "no-run-id-provided"
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}
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},
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{
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"proposedSnapshot": {
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"com.linkedin.pegasus2avro.metadata.snapshot.DatasetSnapshot": {
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"urn": "urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.path2.foo.view.my_view,PROD)",
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"aspects": [
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{
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"com.linkedin.pegasus2avro.common.BrowsePaths": {
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"paths": [
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"/prod/looker/lkml_samples/path2/foo.view.lkml/views"
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]
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}
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},
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{
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"com.linkedin.pegasus2avro.common.Status": {
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"removed": false
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}
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},
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{
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"com.linkedin.pegasus2avro.dataset.UpstreamLineage": {
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"upstreams": [
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{
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"auditStamp": {
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"time": 1586847600000,
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"actor": "urn:li:corpuser:datahub"
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},
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"dataset": "urn:li:dataset:(urn:li:dataPlatform:snowflake,warehouse.default_db.default_schema.my_table,DEV)",
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"type": "VIEW"
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}
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]
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}
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},
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{
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"com.linkedin.pegasus2avro.schema.SchemaMetadata": {
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"schemaName": "my_view",
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"platform": "urn:li:dataPlatform:looker",
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"version": 0,
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"created": {
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"time": 0,
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"actor": "urn:li:corpuser:unknown"
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},
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"lastModified": {
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"time": 0,
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"actor": "urn:li:corpuser:unknown"
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},
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"hash": "",
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"platformSchema": {
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"com.linkedin.pegasus2avro.schema.OtherSchema": {
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"rawSchema": ""
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}
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},
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"fields": [
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{
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"fieldPath": "city",
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"nullable": false,
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"description": "City",
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"label": "",
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"type": {
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"type": {
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"com.linkedin.pegasus2avro.schema.StringType": {}
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}
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},
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"nativeDataType": "string",
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"recursive": false,
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"globalTags": {
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"tags": [
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{
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"tag": "urn:li:tag:Dimension"
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}
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]
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},
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"isPartOfKey": false
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},
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{
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"fieldPath": "is_latest",
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"nullable": false,
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"description": "Is latest data",
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"label": "",
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"type": {
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"type": {
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"com.linkedin.pegasus2avro.schema.BooleanType": {}
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}
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},
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"nativeDataType": "yesno",
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"recursive": false,
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"globalTags": {
|
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"tags": [
|
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{
|
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"tag": "urn:li:tag:Dimension"
|
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}
|
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]
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},
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"isPartOfKey": false
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},
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{
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"fieldPath": "timestamp",
|
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"nullable": false,
|
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"description": "Timestamp of measurement",
|
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"label": "",
|
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"type": {
|
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"type": {
|
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"com.linkedin.pegasus2avro.schema.TimeType": {}
|
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}
|
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},
|
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"nativeDataType": "time",
|
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"recursive": false,
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"globalTags": {
|
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"tags": [
|
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{
|
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"tag": "urn:li:tag:Dimension"
|
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},
|
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{
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"tag": "urn:li:tag:Temporal"
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}
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]
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},
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"isPartOfKey": false
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},
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{
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"fieldPath": "average_measurement",
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"nullable": false,
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"description": "My measurement",
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"label": "",
|
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"type": {
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"type": {
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"com.linkedin.pegasus2avro.schema.NumberType": {}
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}
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},
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"nativeDataType": "average",
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"recursive": false,
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"globalTags": {
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"tags": [
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{
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"tag": "urn:li:tag:Measure"
|
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}
|
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]
|
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},
|
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"isPartOfKey": false
|
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}
|
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],
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"primaryKeys": []
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}
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},
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{
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"com.linkedin.pegasus2avro.dataset.DatasetProperties": {
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"customProperties": {
|
||||
"looker.file.path": "path2/foo.view.lkml"
|
||||
},
|
||||
"name": "my_view",
|
||||
"tags": []
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
},
|
||||
"systemMetadata": {
|
||||
"lastObserved": 1586847600000,
|
||||
"runId": "lookml-test",
|
||||
"lastRunId": "no-run-id-provided"
|
||||
}
|
||||
},
|
||||
{
|
||||
"entityType": "dataset",
|
||||
"entityUrn": "urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.path2.foo.view.my_view,PROD)",
|
||||
"changeType": "UPSERT",
|
||||
"aspectName": "subTypes",
|
||||
"aspect": {
|
||||
"json": {
|
||||
"typeNames": [
|
||||
"View"
|
||||
]
|
||||
}
|
||||
},
|
||||
"systemMetadata": {
|
||||
"lastObserved": 1586847600000,
|
||||
"runId": "lookml-test",
|
||||
"lastRunId": "no-run-id-provided"
|
||||
}
|
||||
},
|
||||
{
|
||||
"entityType": "dataset",
|
||||
"entityUrn": "urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.path2.foo.view.my_view,PROD)",
|
||||
"changeType": "UPSERT",
|
||||
"aspectName": "viewProperties",
|
||||
"aspect": {
|
||||
"json": {
|
||||
"materialized": false,
|
||||
"viewLogic": "SELECT\n is_latest,\n country,\n city,\n timestamp,\n measurement\n FROM\n my_table",
|
||||
"viewLanguage": "sql"
|
||||
}
|
||||
},
|
||||
"systemMetadata": {
|
||||
"lastObserved": 1586847600000,
|
||||
"runId": "lookml-test",
|
||||
"lastRunId": "no-run-id-provided"
|
||||
}
|
||||
},
|
||||
{
|
||||
"entityType": "dataset",
|
||||
"entityUrn": "urn:li:dataset:(urn:li:dataPlatform:looker,lkml_samples.path2.foo.view.my_view,PROD)",
|
||||
"changeType": "UPSERT",
|
||||
"aspectName": "browsePathsV2",
|
||||
"aspect": {
|
||||
"json": {
|
||||
"path": [
|
||||
{
|
||||
"id": "looker"
|
||||
},
|
||||
{
|
||||
"id": "lkml_samples"
|
||||
},
|
||||
{
|
||||
"id": "path2"
|
||||
},
|
||||
{
|
||||
"id": "foo.view.lkml"
|
||||
},
|
||||
{
|
||||
"id": "views"
|
||||
}
|
||||
]
|
||||
}
|
||||
},
|
||||
"systemMetadata": {
|
||||
"lastObserved": 1586847600000,
|
||||
"runId": "lookml-test",
|
||||
"lastRunId": "no-run-id-provided"
|
||||
}
|
||||
},
|
||||
{
|
||||
"proposedSnapshot": {
|
||||
"com.linkedin.pegasus2avro.metadata.snapshot.TagSnapshot": {
|
||||
"urn": "urn:li:tag:Dimension",
|
||||
"aspects": [
|
||||
{
|
||||
"com.linkedin.pegasus2avro.tag.TagProperties": {
|
||||
"name": "Dimension",
|
||||
"description": "A tag that is applied to all dimension fields."
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
},
|
||||
"systemMetadata": {
|
||||
"lastObserved": 1586847600000,
|
||||
"runId": "lookml-test",
|
||||
"lastRunId": "no-run-id-provided"
|
||||
}
|
||||
},
|
||||
{
|
||||
"proposedSnapshot": {
|
||||
"com.linkedin.pegasus2avro.metadata.snapshot.TagSnapshot": {
|
||||
"urn": "urn:li:tag:Temporal",
|
||||
"aspects": [
|
||||
{
|
||||
"com.linkedin.pegasus2avro.tag.TagProperties": {
|
||||
"name": "Temporal",
|
||||
"description": "A tag that is applied to all time-based (temporal) fields such as timestamps or durations."
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
},
|
||||
"systemMetadata": {
|
||||
"lastObserved": 1586847600000,
|
||||
"runId": "lookml-test",
|
||||
"lastRunId": "no-run-id-provided"
|
||||
}
|
||||
},
|
||||
{
|
||||
"proposedSnapshot": {
|
||||
"com.linkedin.pegasus2avro.metadata.snapshot.TagSnapshot": {
|
||||
"urn": "urn:li:tag:Measure",
|
||||
"aspects": [
|
||||
{
|
||||
"com.linkedin.pegasus2avro.tag.TagProperties": {
|
||||
"name": "Measure",
|
||||
"description": "A tag that is applied to all measures (metrics). Measures are typically the columns that you aggregate on"
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
},
|
||||
"systemMetadata": {
|
||||
"lastObserved": 1586847600000,
|
||||
"runId": "lookml-test",
|
||||
"lastRunId": "no-run-id-provided"
|
||||
}
|
||||
},
|
||||
{
|
||||
"entityType": "tag",
|
||||
"entityUrn": "urn:li:tag:Dimension",
|
||||
"changeType": "UPSERT",
|
||||
"aspectName": "status",
|
||||
"aspect": {
|
||||
"json": {
|
||||
"removed": false
|
||||
}
|
||||
},
|
||||
"systemMetadata": {
|
||||
"lastObserved": 1586847600000,
|
||||
"runId": "lookml-test",
|
||||
"lastRunId": "no-run-id-provided"
|
||||
}
|
||||
},
|
||||
{
|
||||
"entityType": "tag",
|
||||
"entityUrn": "urn:li:tag:Measure",
|
||||
"changeType": "UPSERT",
|
||||
"aspectName": "status",
|
||||
"aspect": {
|
||||
"json": {
|
||||
"removed": false
|
||||
}
|
||||
},
|
||||
"systemMetadata": {
|
||||
"lastObserved": 1586847600000,
|
||||
"runId": "lookml-test",
|
||||
"lastRunId": "no-run-id-provided"
|
||||
}
|
||||
},
|
||||
{
|
||||
"entityType": "tag",
|
||||
"entityUrn": "urn:li:tag:Temporal",
|
||||
"changeType": "UPSERT",
|
||||
"aspectName": "status",
|
||||
"aspect": {
|
||||
"json": {
|
||||
"removed": false
|
||||
}
|
||||
},
|
||||
"systemMetadata": {
|
||||
"lastObserved": 1586847600000,
|
||||
"runId": "lookml-test",
|
||||
"lastRunId": "no-run-id-provided"
|
||||
}
|
||||
}
|
||||
]
|
||||
@ -802,3 +802,53 @@ def test_lookml_base_folder():
|
||||
pydantic.ValidationError, match=r"base_folder.+not provided.+deploy_key"
|
||||
):
|
||||
LookMLSourceConfig.parse_obj({"api": fake_api})
|
||||
|
||||
|
||||
@freeze_time(FROZEN_TIME)
|
||||
def test_same_name_views_different_file_path(pytestconfig, tmp_path, mock_time):
|
||||
"""Test for reachable views"""
|
||||
test_resources_dir = pytestconfig.rootpath / "tests/integration/lookml"
|
||||
mce_out = "lookml_same_name_views_different_file_path.json"
|
||||
pipeline = Pipeline.create(
|
||||
{
|
||||
"run_id": "lookml-test",
|
||||
"source": {
|
||||
"type": "lookml",
|
||||
"config": {
|
||||
"base_folder": str(
|
||||
test_resources_dir
|
||||
/ "lkml_same_name_views_different_file_path_samples"
|
||||
),
|
||||
"connection_to_platform_map": {
|
||||
"my_connection": {
|
||||
"platform": "snowflake",
|
||||
"platform_instance": "warehouse",
|
||||
"platform_env": "dev",
|
||||
"default_db": "default_db",
|
||||
"default_schema": "default_schema",
|
||||
},
|
||||
},
|
||||
"parse_table_names_from_sql": True,
|
||||
"project_name": "lkml_samples",
|
||||
"process_refinements": False,
|
||||
"view_naming_pattern": "{project}.{file_path}.view.{name}",
|
||||
"view_browse_pattern": "/{env}/{platform}/{project}/{file_path}/views",
|
||||
},
|
||||
},
|
||||
"sink": {
|
||||
"type": "file",
|
||||
"config": {
|
||||
"filename": f"{tmp_path}/{mce_out}",
|
||||
},
|
||||
},
|
||||
}
|
||||
)
|
||||
pipeline.run()
|
||||
pipeline.pretty_print_summary()
|
||||
pipeline.raise_from_status(raise_warnings=True)
|
||||
|
||||
mce_helpers.check_golden_file(
|
||||
pytestconfig,
|
||||
output_path=tmp_path / mce_out,
|
||||
golden_path=test_resources_dir / mce_out,
|
||||
)
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user