materialized-views.td 2.9 KB

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  1. # Copyright Materialize, Inc. and contributors. All rights reserved.
  2. #
  3. # Use of this software is governed by the Business Source License
  4. # included in the LICENSE file at the root of this repository.
  5. #
  6. # As of the Change Date specified in that file, in accordance with
  7. # the Business Source License, use of this software will be governed
  8. # by the Apache License, Version 2.0.
  9. $ set-arg-default single-replica-cluster=quickstart
  10. # Additional test for materialized views, on top of those in
  11. # test/sqllogictest/materialized_views.slt
  12. # Kafka source as a source for a materialized view
  13. $ set materialized-views={
  14. "type" : "record",
  15. "name" : "test",
  16. "fields" : [
  17. {"name":"f1", "type":"string"}
  18. ]
  19. }
  20. $ kafka-create-topic topic=materialized-views
  21. $ kafka-ingest format=avro topic=materialized-views schema=${materialized-views}
  22. {"f1": "123"}
  23. > CREATE CONNECTION kafka_conn
  24. TO KAFKA (BROKER '${testdrive.kafka-addr}', SECURITY PROTOCOL PLAINTEXT);
  25. > CREATE CONNECTION IF NOT EXISTS csr_conn TO CONFLUENT SCHEMA REGISTRY (
  26. URL '${testdrive.schema-registry-url}'
  27. );
  28. > CREATE CONNECTION IF NOT EXISTS csr_conn TO CONFLUENT SCHEMA REGISTRY (
  29. URL '${testdrive.schema-registry-url}'
  30. );
  31. > CREATE SOURCE s1
  32. IN CLUSTER ${arg.single-replica-cluster}
  33. FROM KAFKA CONNECTION kafka_conn (TOPIC 'testdrive-materialized-views-${testdrive.seed}')
  34. > CREATE TABLE s1_tbl FROM SOURCE s1 (REFERENCE "testdrive-materialized-views-${testdrive.seed}")
  35. FORMAT AVRO USING CONFLUENT SCHEMA REGISTRY CONNECTION csr_conn
  36. ENVELOPE NONE
  37. $ kafka-ingest format=avro topic=materialized-views schema=${materialized-views}
  38. {"f1": "234"}
  39. > SELECT COUNT(*) FROM s1_tbl;
  40. 2
  41. > CREATE MATERIALIZED VIEW v1 AS SELECT COUNT(f1::integer) AS c1 FROM s1_tbl;
  42. $ kafka-ingest format=avro topic=materialized-views schema=${materialized-views}
  43. {"f1": "345"}
  44. > SELECT * FROM v1;
  45. 3
  46. > CREATE SINK sink1
  47. IN CLUSTER ${arg.single-replica-cluster}
  48. FROM v1
  49. INTO KAFKA CONNECTION kafka_conn (TOPIC 'testdrive-materialized-views-sink-${testdrive.seed}')
  50. FORMAT AVRO USING CONFLUENT SCHEMA REGISTRY CONNECTION csr_conn
  51. ENVELOPE DEBEZIUM
  52. $ kafka-verify-topic sink=materialize.public.sink1 await-value-schema=true
  53. > CREATE SOURCE sink1_check
  54. IN CLUSTER ${arg.single-replica-cluster}
  55. FROM KAFKA CONNECTION kafka_conn (
  56. TOPIC 'testdrive-materialized-views-sink-${testdrive.seed}'
  57. )
  58. > CREATE TABLE sink1_check_tbl FROM SOURCE sink1_check (REFERENCE "testdrive-materialized-views-sink-${testdrive.seed}")
  59. FORMAT AVRO USING CONFLUENT SCHEMA REGISTRY CONNECTION csr_conn
  60. ENVELOPE NONE
  61. $ kafka-ingest format=avro topic=materialized-views schema=${materialized-views}
  62. {"f1": "456"}
  63. > SELECT * FROM v1;
  64. 4
  65. > SELECT MAX((after).c1) FROM sink1_check_tbl;
  66. 4
  67. # Inject failure in the source
  68. $ kafka-ingest format=avro topic=materialized-views schema=${materialized-views}
  69. {"f1": "ABC"}
  70. ! SELECT * FROM v1;
  71. contains: invalid input syntax for type integer