# Copyright Materialize, Inc. and contributors. All rights reserved. # # Use of this software is governed by the Business Source License # included in the LICENSE file at the root of this repository. # # As of the Change Date specified in that file, in accordance with # the Business Source License, use of this software will be governed # by the Apache License, Version 2.0. $ set-arg-default default-storage-size=1 # Verify that we can (and continue to do so) ingest debezium topics that don't # have a `before` field in their schema. # must be a subset of the keys in the rows $ set keyschema={ "type": "record", "name": "Key", "fields": [ {"name": "id", "type": "long"} ] } $ set schema={ "type" : "record", "name" : "envelope", "fields" : [ { "name": "op", "type": "string" }, { "name": "after", "type": [ { "name": "row", "type": "record", "fields": [ { "name": "id", "type": "long" }, { "name": "creature", "type": "string" }] }, "null" ] }, { "name": "source", "type": { "type": "record", "name": "Source", "namespace": "io.debezium.connector.mysql", "fields": [ { "name": "file", "type": "string" }, { "name": "pos", "type": "long" }, { "name": "row", "type": "int" }, { "name": "snapshot", "type": [ { "type": "boolean", "connect.default": false }, "null" ], "default": false } ], "connect.name": "io.debezium.connector.mysql.Source" } } ] } > CREATE CONNECTION kafka_conn TO KAFKA (BROKER '${testdrive.kafka-addr}', SECURITY PROTOCOL PLAINTEXT); > CREATE CONNECTION IF NOT EXISTS csr_conn TO CONFLUENT SCHEMA REGISTRY ( URL '${testdrive.schema-registry-url}' ); $ kafka-create-topic topic=dbz-no-before partitions=1 # Note: we ignore the `op` field, so can be "u" or "c" $ kafka-ingest format=avro topic=dbz-no-before key-format=avro key-schema=${keyschema} schema=${schema} timestamp=1 {"id": 1} {"after": {"row": {"id": 1, "creature": "mudskipper"}}, "op": "c", "source": {"file": "binlog1", "pos": 1, "row": 1, "snapshot": {"boolean": false}}} {"id": 1} {"after": {"row": {"id": 1, "creature": "salamander"}}, "op": "c", "source": {"file": "binlog2", "pos": 1, "row": 1, "snapshot": {"boolean": false}}} {"id": 1} {"after": {"row": {"id": 1, "creature": "lizard"}}, "op": "c", "source": {"file": "binlog3", "pos": 1, "row": 1, "snapshot": {"boolean": false}}} > CREATE CLUSTER dbz_no_before_cluster SIZE '${arg.default-storage-size}'; > CREATE SOURCE dbz_no_before IN CLUSTER dbz_no_before_cluster FROM KAFKA CONNECTION kafka_conn (TOPIC 'testdrive-dbz-no-before-${testdrive.seed}') FORMAT AVRO USING CONFLUENT SCHEMA REGISTRY CONNECTION csr_conn ENVELOPE DEBEZIUM > SELECT * FROM dbz_no_before id creature ----------- 1 lizard $ kafka-ingest format=avro topic=dbz-no-before key-format=avro key-schema=${keyschema} schema=${schema} timestamp=2 {"id": 1} {"after": {"row": {"id": 1, "creature": "dino"}}, "op": "u", "source": {"file": "binlog4", "pos": 1, "row": 1, "snapshot": {"boolean": false}}} > SELECT * FROM dbz_no_before id creature ----------- 1 dino $ kafka-ingest format=avro topic=dbz-no-before key-format=avro key-schema=${keyschema} schema=${schema} timestamp=3 {"id": 2} {"after": {"row": {"id": 2, "creature": "archeopteryx"}}, "op": "c", "source": {"file": "binlog5", "pos": 1, "row": 1, "snapshot": {"boolean": false}}} {"id": 2} {"after": {"row": {"id": 2, "creature": "velociraptor"}}, "op": "u", "source": {"file": "binlog6", "pos": 1, "row": 1, "snapshot": {"boolean": false}}} > SELECT * FROM dbz_no_before ORDER BY creature id creature ------------ 1 dino 2 velociraptor # test duplicates $ kafka-ingest format=avro topic=dbz-no-before key-format=avro key-schema=${keyschema} schema=${schema} timestamp=4 {"id": 3} {"after": {"row": {"id": 3, "creature": "triceratops"}}, "op": "u", "source": {"file": "binlog7", "pos": 1, "row": 1, "snapshot": {"boolean": false}}} {"id": 3} {"after": {"row": {"id": 3, "creature": "triceratops"}}, "op": "u", "source": {"file": "binlog8", "pos": 1, "row": 1, "snapshot": {"boolean": false}}} > SELECT * FROM dbz_no_before WHERE id = 3 id creature ----------- 3 triceratops # test removal and reinsertion $ kafka-ingest format=avro topic=dbz-no-before key-format=avro key-schema=${keyschema} schema=${schema} timestamp=5 {"id": 4} {"after": {"row": {"id": 4, "creature": "moros"}}, "op": "c", "source": {"file": "binlog9", "pos": 1, "row": 1, "snapshot": {"boolean": false}}} > SELECT creature FROM dbz_no_before WHERE id = 4 creature -------- moros $ kafka-ingest format=avro topic=dbz-no-before key-format=avro key-schema=${keyschema} schema=${schema} timestamp=6 {"id": 4} {"after": null, "op": "d", "source": {"file": "binlog10", "pos": 1, "row": 1, "snapshot": {"boolean": false}}} > SELECT creature FROM dbz_no_before WHERE id = 4 creature -------- $ kafka-ingest format=avro topic=dbz-no-before key-format=avro key-schema=${keyschema} schema=${schema} timestamp=7 {"id": 4} {"after": {"row": {"id": 4, "creature": "chicken"}}, "op": "u", "source": {"file": "binlog11", "pos": 1, "row": 1, "snapshot": {"boolean": false}}} > SELECT creature FROM dbz_no_before WHERE id = 4 creature -------- chicken > SELECT * FROM dbz_no_before WHERE id = 3 id creature ----------- 3 triceratops