# 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 single-replica-cluster=quickstart # # Make sure that FETCH-ing using multiple cursors from different sources works as expected # $ postgres-execute connection=postgres://mz_system:materialize@${testdrive.materialize-internal-sql-addr} ALTER SYSTEM SET min_timestamp_interval = '100ms' $ set int={"type": "record", "name": "field_int", "fields": [ {"name": "f1", "type": "int"} ] } $ kafka-create-topic topic=fetch-concurrent-two-sources > CREATE CONNECTION kafka_conn TO KAFKA (BROKER '${testdrive.kafka-addr}', SECURITY PROTOCOL PLAINTEXT); > CREATE SOURCE fetch_concurrent_two_sources1 IN CLUSTER ${arg.single-replica-cluster} FROM KAFKA CONNECTION kafka_conn (TOPIC 'testdrive-fetch-concurrent-two-sources-${testdrive.seed}') WITH (TIMESTAMP INTERVAL '100ms') > CREATE TABLE fetch_concurrent_two_sources1_tbl FROM SOURCE fetch_concurrent_two_sources1 (REFERENCE "testdrive-fetch-concurrent-two-sources-${testdrive.seed}") FORMAT AVRO USING SCHEMA '${int}' ENVELOPE NONE > CREATE SOURCE fetch_concurrent_two_sources2 IN CLUSTER ${arg.single-replica-cluster} FROM KAFKA CONNECTION kafka_conn (TOPIC 'testdrive-fetch-concurrent-two-sources-${testdrive.seed}') WITH (TIMESTAMP INTERVAL '100ms') > CREATE TABLE fetch_concurrent_two_sources2_tbl FROM SOURCE fetch_concurrent_two_sources2 (REFERENCE "testdrive-fetch-concurrent-two-sources-${testdrive.seed}") FORMAT AVRO USING SCHEMA '${int}' ENVELOPE NONE > CREATE MATERIALIZED VIEW fetch_concurrent_two_sources1_view AS SELECT * FROM fetch_concurrent_two_sources1_tbl ORDER BY f1; > CREATE MATERIALIZED VIEW fetch_concurrent_two_sources2_view AS SELECT * FROM fetch_concurrent_two_sources2_tbl ORDER BY f1; $ kafka-ingest format=avro topic=fetch-concurrent-two-sources schema=${int} timestamp=1 {"f1": 12} $ kafka-ingest format=avro topic=fetch-concurrent-two-sources schema=${int} timestamp=2 {"f1": 23} $ kafka-ingest format=avro topic=fetch-concurrent-two-sources schema=${int} timestamp=3 {"f1": 34} > SELECT COUNT(*) FROM fetch_concurrent_two_sources1_view; 3 > SELECT COUNT(*) FROM fetch_concurrent_two_sources2_view; 3 > BEGIN > DECLARE c1 CURSOR FOR SELECT * FROM fetch_concurrent_two_sources1_view; > DECLARE c2 CURSOR FOR SELECT * FROM fetch_concurrent_two_sources2_view; > FETCH 1 c1; 12 > FETCH 1 c2; 12 > FETCH 1 c1; 23 > FETCH 1 c2; 23 > FETCH 1 c1; 34 > FETCH 1 c2; 34