# 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. from textwrap import dedent from materialize.checks.actions import Testdrive from materialize.checks.checks import Check PAD_128B = "X" * 128 # 1000 and not 1024 to keep entire Kafka message under 1M PAD_1K = "Y" * 1000 # A schema that allows null values SCHEMA = dedent( """ $ set keyschema={ "type": "record", "name": "Key", "fields": [ {"name": "key1", "type": "string"} ] } $ set schema={ "type" : "record", "name" : "test", "fields" : [ {"name":"f1", "type": ["null", "string"], "default": null } ] } """ ) class UpsertEnrichValue(Check): """Progressively enrich records that started their lives as null values. Progressively empoverish records that started as very large values. """ def initialize(self) -> Testdrive: return Testdrive( SCHEMA + dedent( f""" $ kafka-create-topic topic=upsert-enrich-value # 'A...' records start as NULLs $ kafka-ingest format=avro key-format=avro topic=upsert-enrich-value key-schema=${{keyschema}} schema=${{schema}} repeat=1000 {{"key1": "A${{kafka-ingest.iteration}}"}} {{"f1": null}} # 'B...' records start as 1Ks $ kafka-ingest format=avro key-format=avro topic=upsert-enrich-value key-schema=${{keyschema}} schema=${{schema}} repeat=1000 {{"key1": "B${{kafka-ingest.iteration}}"}} {{"f1": {{"string":"{PAD_1K}"}}}} > CREATE SOURCE upsert_enrich_value_src FROM KAFKA CONNECTION kafka_conn (TOPIC 'testdrive-upsert-enrich-value-${{testdrive.seed}}') > CREATE TABLE upsert_enrich_value FROM SOURCE upsert_enrich_value_src (REFERENCE "testdrive-upsert-enrich-value-${{testdrive.seed}}") FORMAT AVRO USING CONFLUENT SCHEMA REGISTRY CONNECTION csr_conn ENVELOPE UPSERT > CREATE MATERIALIZED VIEW upsert_enrich_value_view AS SELECT LEFT(key1, 1) AS key_left, LEFT(f1, 1) AS value_left, RIGHT(f1, 1), LENGTH(f1), COUNT(*), SUM(CASE WHEN f1 IS NULL THEN 1 ELSE 0 END) AS nulls, COUNT(f1) AS not_nulls FROM upsert_enrich_value GROUP BY LEFT(key1, 1), f1 """ ) ) def manipulate(self) -> list[Testdrive]: return [ Testdrive(SCHEMA + dedent(s)) for s in [ f""" $ kafka-ingest format=avro key-format=avro topic=upsert-enrich-value key-schema=${{keyschema}} schema=${{schema}} repeat=1000 {{"key1": "A${{kafka-ingest.iteration}}"}} {{"f1": {{"string":"{PAD_128B}"}}}} $ kafka-ingest format=avro key-format=avro topic=upsert-enrich-value key-schema=${{keyschema}} schema=${{schema}} repeat=1000 {{"key1": "B${{kafka-ingest.iteration}}"}} {{"f1": {{"string":"{PAD_128B}"}}}} """, f""" # 'A...' records will now be enriched to 1Ks $ kafka-ingest format=avro key-format=avro topic=upsert-enrich-value key-schema=${{keyschema}} schema=${{schema}} repeat=1000 {{"key1": "A${{kafka-ingest.iteration}}"}} {{"f1": {{"string":"{PAD_1K}"}}}} # 'B...' records will now be enpoverished to NULLs $ kafka-ingest format=avro key-format=avro topic=upsert-enrich-value key-schema=${{keyschema}} schema=${{schema}} repeat=1000 {{"key1": "B${{kafka-ingest.iteration}}"}} {{"f1": null}} """, ] ] def validate(self) -> Testdrive: return Testdrive( dedent( """ > SELECT * FROM upsert_enrich_value_view A Y Y 1000 1000 0 1000 B 1000 1000 0 """ ) )