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Update job jar location #15

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merged 2 commits into from
Sep 6, 2024
Merged

Update job jar location #15

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54e132a
Update to new job jar location
robobario Sep 5, 2024
215b32c
Update to new property
robobario Sep 6, 2024
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4 changes: 2 additions & 2 deletions recommendation-app/flink-deployment.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -43,7 +43,7 @@ spec:
memory: "2048m"
cpu: 1
job:
jarURI: local:///opt/flink/usrlib/flink-sql-runner.jar
args: ["CREATE TABLE ProductInventoryTable ( product_id STRING, category STRING, stock STRING, rating STRING ) WITH ( 'connector' = 'filesystem', 'path' = '/opt/flink/data/productInventory.csv', 'format' = 'csv', 'csv.ignore-parse-errors' = 'true' ); CREATE TABLE ClickStreamTable ( user_id STRING, product_id STRING, `event_time` TIMESTAMP(3) METADATA FROM 'timestamp', WATERMARK FOR event_time AS event_time - INTERVAL '1' SECOND ) WITH ( 'connector' = 'kafka', 'topic' = 'flink.click.streams', 'properties.bootstrap.servers' = 'my-cluster-kafka-bootstrap.flink.svc:9092', 'properties.group.id' = 'click-stream-group', 'value.format' = 'avro-confluent', 'value.avro-confluent.schema-registry.url' = 'http://apicurio-registry-service.flink.svc:8080/apis/ccompat/v6', 'scan.startup.mode' = 'latest-offset' ); CREATE TABLE SalesRecordTable ( invoice_id STRING, user_id STRING, product_id STRING, quantity STRING, unit_cost STRING, `purchase_time` TIMESTAMP(3) METADATA FROM 'timestamp', WATERMARK FOR purchase_time AS purchase_time - INTERVAL '1' SECOND ) WITH ( 'connector' = 'kafka', 'topic' = 'flink.sales.records', 'properties.bootstrap.servers' = 'my-cluster-kafka-bootstrap.flink.svc:9092', 'properties.group.id' = 'sales-record-group', 'value.format' = 'avro-confluent', 'value.avro-confluent.schema-registry.url' = 'http://apicurio-registry-service.flink.svc:8080/apis/ccompat/v6', 'scan.startup.mode' = 'latest-offset' ); CREATE TABLE CsvSinkTable ( user_id STRING, top_product_ids STRING, `event_time` TIMESTAMP(3), PRIMARY KEY(`user_id`) NOT ENFORCED ) WITH ( 'connector' = 'upsert-kafka', 'topic' = 'flink.recommended.products', 'properties.bootstrap.servers' = 'my-cluster-kafka-bootstrap.flink.svc:9092', 'properties.client.id' = 'recommended-products-producer-client', 'properties.transaction.timeout.ms' = '800000', 'key.format' = 'csv', 'value.format' = 'csv', 'value.fields-include' = 'ALL' ); CREATE TEMPORARY VIEW clicked_products AS SELECT DISTINCT c.user_id, c.event_time, p.product_id, p.category FROM ClickStreamTable AS c JOIN ProductInventoryTable AS p ON c.product_id = p.product_id; CREATE TEMPORARY VIEW category_products AS SELECT cp.user_id, cp.event_time, p.product_id, p.category, p.stock, p.rating, sr.user_id as purchased FROM clicked_products cp JOIN ProductInventoryTable AS p ON cp.category = p.category LEFT JOIN SalesRecordTable sr ON cp.user_id = sr.user_id AND p.product_id = sr.product_id WHERE p.stock > 0 GROUP BY p.product_id, p.category, p.stock, cp.user_id, cp.event_time, sr.user_id, p.rating; CREATE TEMPORARY VIEW top_products AS SELECT cp.user_id, cp.event_time, cp.product_id, cp.category, cp.stock, cp.rating, cp.purchased, ROW_NUMBER() OVER (PARTITION BY cp.user_id ORDER BY cp.purchased DESC, cp.rating DESC) AS rn FROM category_products cp; INSERT INTO CsvSinkTable SELECT user_id, LISTAGG(product_id, ',') AS top_product_ids, TUMBLE_END(event_time, INTERVAL '5' SECOND) FROM top_products WHERE rn <= 6 GROUP BY user_id, TUMBLE(event_time, INTERVAL '5' SECOND);"]
jarURI: local:///opt/streamshub/flink-sql-runner.jar
args: ["CREATE TABLE ProductInventoryTable ( product_id STRING, category STRING, stock STRING, rating STRING ) WITH ( 'connector' = 'filesystem', 'path' = '/opt/flink/data/productInventory.csv', 'format' = 'csv', 'csv.ignore-parse-errors' = 'true' ); CREATE TABLE ClickStreamTable ( user_id STRING, product_id STRING, `event_time` TIMESTAMP(3) METADATA FROM 'timestamp', WATERMARK FOR event_time AS event_time - INTERVAL '1' SECOND ) WITH ( 'connector' = 'kafka', 'topic' = 'flink.click.streams', 'properties.bootstrap.servers' = 'my-cluster-kafka-bootstrap.flink.svc:9092', 'properties.group.id' = 'click-stream-group', 'value.format' = 'avro-confluent', 'value.avro-confluent.url' = 'http://apicurio-registry-service.flink.svc:8080/apis/ccompat/v6', 'scan.startup.mode' = 'latest-offset' ); CREATE TABLE SalesRecordTable ( invoice_id STRING, user_id STRING, product_id STRING, quantity STRING, unit_cost STRING, `purchase_time` TIMESTAMP(3) METADATA FROM 'timestamp', WATERMARK FOR purchase_time AS purchase_time - INTERVAL '1' SECOND ) WITH ( 'connector' = 'kafka', 'topic' = 'flink.sales.records', 'properties.bootstrap.servers' = 'my-cluster-kafka-bootstrap.flink.svc:9092', 'properties.group.id' = 'sales-record-group', 'value.format' = 'avro-confluent', 'value.avro-confluent.url' = 'http://apicurio-registry-service.flink.svc:8080/apis/ccompat/v6', 'scan.startup.mode' = 'latest-offset' ); CREATE TABLE CsvSinkTable ( user_id STRING, top_product_ids STRING, `event_time` TIMESTAMP(3), PRIMARY KEY(`user_id`) NOT ENFORCED ) WITH ( 'connector' = 'upsert-kafka', 'topic' = 'flink.recommended.products', 'properties.bootstrap.servers' = 'my-cluster-kafka-bootstrap.flink.svc:9092', 'properties.client.id' = 'recommended-products-producer-client', 'properties.transaction.timeout.ms' = '800000', 'key.format' = 'csv', 'value.format' = 'csv', 'value.fields-include' = 'ALL' ); CREATE TEMPORARY VIEW clicked_products AS SELECT DISTINCT c.user_id, c.event_time, p.product_id, p.category FROM ClickStreamTable AS c JOIN ProductInventoryTable AS p ON c.product_id = p.product_id; CREATE TEMPORARY VIEW category_products AS SELECT cp.user_id, cp.event_time, p.product_id, p.category, p.stock, p.rating, sr.user_id as purchased FROM clicked_products cp JOIN ProductInventoryTable AS p ON cp.category = p.category LEFT JOIN SalesRecordTable sr ON cp.user_id = sr.user_id AND p.product_id = sr.product_id WHERE p.stock > 0 GROUP BY p.product_id, p.category, p.stock, cp.user_id, cp.event_time, sr.user_id, p.rating; CREATE TEMPORARY VIEW top_products AS SELECT cp.user_id, cp.event_time, cp.product_id, cp.category, cp.stock, cp.rating, cp.purchased, ROW_NUMBER() OVER (PARTITION BY cp.user_id ORDER BY cp.purchased DESC, cp.rating DESC) AS rn FROM category_products cp; INSERT INTO CsvSinkTable SELECT user_id, LISTAGG(product_id, ',') AS top_product_ids, TUMBLE_END(event_time, INTERVAL '5' SECOND) FROM top_products WHERE rn <= 6 GROUP BY user_id, TUMBLE(event_time, INTERVAL '5' SECOND);"]
parallelism: 1
upgradeMode: stateless