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184 changes: 184 additions & 0 deletions
184
...wflake/kafka/connector/internal/streaming/SnowflakeSinkServiceV2AvroSchematizationIT.java
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,184 @@ | ||
| package com.snowflake.kafka.connector.internal.streaming; | ||
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|
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| import static com.snowflake.kafka.connector.internal.streaming.channel.TopicPartitionChannel.NO_OFFSET_TOKEN_REGISTERED_IN_SNOWFLAKE; | ||
| import static org.awaitility.Awaitility.await; | ||
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|
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| import com.snowflake.kafka.connector.SnowflakeSinkConnectorConfig; | ||
| import com.snowflake.kafka.connector.dlq.InMemoryKafkaRecordErrorReporter; | ||
| import com.snowflake.kafka.connector.internal.SchematizationTestUtils; | ||
| import com.snowflake.kafka.connector.internal.SnowflakeConnectionService; | ||
| import com.snowflake.kafka.connector.internal.SnowflakeSinkService; | ||
| import com.snowflake.kafka.connector.internal.SnowflakeSinkServiceFactory; | ||
| import com.snowflake.kafka.connector.internal.TestUtils; | ||
| import io.confluent.connect.avro.AvroConverter; | ||
| import io.confluent.kafka.schemaregistry.client.MockSchemaRegistryClient; | ||
| import io.confluent.kafka.schemaregistry.client.SchemaRegistryClient; | ||
| import java.time.Duration; | ||
| import java.util.Arrays; | ||
| import java.util.Collections; | ||
| import java.util.Map; | ||
| import java.util.stream.Stream; | ||
| import org.apache.kafka.common.TopicPartition; | ||
| import org.apache.kafka.connect.data.Schema; | ||
| import org.apache.kafka.connect.data.SchemaAndValue; | ||
| import org.apache.kafka.connect.data.SchemaBuilder; | ||
| import org.apache.kafka.connect.data.Struct; | ||
| import org.apache.kafka.connect.sink.SinkRecord; | ||
| import org.junit.jupiter.api.AfterEach; | ||
| import org.junit.jupiter.api.BeforeEach; | ||
| import org.junit.jupiter.params.ParameterizedTest; | ||
| import org.junit.jupiter.params.provider.Arguments; | ||
| import org.junit.jupiter.params.provider.MethodSource; | ||
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|
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| public class SnowflakeSinkServiceV2AvroSchematizationIT { | ||
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| private static final int PARTITION = 0; | ||
| private static final int START_OFFSET = 0; | ||
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| private String table; | ||
| private SnowflakeConnectionService conn; | ||
| private String topic; | ||
| private TopicPartition topicPartition; | ||
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| private SnowflakeSinkService service; | ||
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| @BeforeEach | ||
| void before() { | ||
| table = TestUtils.randomTableName(); | ||
| topic = table; | ||
| conn = TestUtils.getConnectionServiceForStreaming(); | ||
| topicPartition = new TopicPartition(topic, PARTITION); | ||
| } | ||
|
|
||
| @AfterEach | ||
| void after() { | ||
| service.closeAll(); | ||
| } | ||
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| @ParameterizedTest(name = "useSingleBuffer: {0}") | ||
| @MethodSource("singleBufferParameters") | ||
| public void testSchematizationWithTableCreationAndAvroInput(boolean useSingleBuffer) | ||
| throws Exception { | ||
| // given | ||
| conn.createTableWithOnlyMetadataColumn(table); | ||
| SinkRecord avroRecordValue = createSinkRecord(); | ||
| service = createService(useSingleBuffer); | ||
|
|
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| // when | ||
| // The first insert should fail and schema evolution will kick in to update the schema | ||
| service.insert(Collections.singletonList(avroRecordValue)); | ||
|
|
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| // then | ||
| waitUntilOffsetEquals(NO_OFFSET_TOKEN_REGISTERED_IN_SNOWFLAKE); | ||
| TestUtils.checkTableSchema(table, SchematizationTestUtils.SF_AVRO_SCHEMA_FOR_TABLE_CREATION); | ||
|
|
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| // when | ||
| // Retry the insert should succeed now with the updated schema | ||
| service.insert(Collections.singletonList(avroRecordValue)); | ||
|
|
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| // then | ||
| waitUntilOffsetEquals(START_OFFSET + 1); | ||
| TestUtils.checkTableContentOneRow( | ||
| table, SchematizationTestUtils.CONTENT_FOR_AVRO_TABLE_CREATION); | ||
| } | ||
|
|
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| private SnowflakeSinkService createService(boolean useSingleBuffer) { | ||
| Map<String, String> config = prepareConfig(useSingleBuffer); | ||
| return SnowflakeSinkServiceFactory.builder( | ||
| conn, IngestionMethodConfig.SNOWPIPE_STREAMING, config) | ||
| .setRecordNumber(1) | ||
| .setErrorReporter(new InMemoryKafkaRecordErrorReporter()) | ||
| .setSinkTaskContext(new InMemorySinkTaskContext(Collections.singleton(topicPartition))) | ||
| .addTask(table, new TopicPartition(topic, PARTITION)) | ||
| .build(); | ||
| } | ||
|
|
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| private SinkRecord createSinkRecord() { | ||
| Schema schema = prepareSchema(); | ||
| Struct data = prepareData(schema); | ||
| AvroConverter avroConverter = prepareAvroConverter(); | ||
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| byte[] converted = avroConverter.fromConnectData(topic, data.schema(), data); | ||
| conn.createTableWithOnlyMetadataColumn(table); | ||
|
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| SchemaAndValue avroInputValue = avroConverter.toConnectData(topic, converted); | ||
|
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| return new SinkRecord( | ||
| topic, | ||
| PARTITION, | ||
| Schema.STRING_SCHEMA, | ||
| "test", | ||
| avroInputValue.schema(), | ||
| avroInputValue.value(), | ||
| START_OFFSET); | ||
| } | ||
|
|
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| private AvroConverter prepareAvroConverter() { | ||
| SchemaRegistryClient schemaRegistry = new MockSchemaRegistryClient(); | ||
| AvroConverter avroConverter = new AvroConverter(schemaRegistry); | ||
| avroConverter.configure( | ||
| Collections.singletonMap("schema.registry.url", "http://fake-url"), false); | ||
| return avroConverter; | ||
| } | ||
|
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| private Map<String, String> prepareConfig(boolean useSingleBuffer) { | ||
| Map<String, String> config = TestUtils.getConfForStreaming(useSingleBuffer); | ||
| config.put(SnowflakeSinkConnectorConfig.ENABLE_SCHEMATIZATION_CONFIG, "true"); | ||
| config.put( | ||
| SnowflakeSinkConnectorConfig.VALUE_CONVERTER_CONFIG_FIELD, | ||
| "io.confluent.connect.avro.AvroConverter"); | ||
| config.put(SnowflakeSinkConnectorConfig.VALUE_SCHEMA_REGISTRY_CONFIG_FIELD, "http://fake-url"); | ||
| SnowflakeSinkConnectorConfig.setDefaultValues(config); | ||
| return config; | ||
| } | ||
|
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| private Schema prepareSchema() { | ||
| SchemaBuilder schemaBuilder = | ||
| SchemaBuilder.struct() | ||
| .field("id_int8", Schema.INT8_SCHEMA) | ||
| .field("id_int8_optional", Schema.OPTIONAL_INT8_SCHEMA) | ||
| .field("id_int16", Schema.INT16_SCHEMA) | ||
| .field("ID_INT32", Schema.INT32_SCHEMA) | ||
| .field("id_int64", Schema.INT64_SCHEMA) | ||
| .field("first_name", Schema.STRING_SCHEMA) | ||
| .field("rating_float32", Schema.FLOAT32_SCHEMA) | ||
| .field("float_nan", Schema.FLOAT32_SCHEMA) | ||
| .field("rating_float64", Schema.FLOAT64_SCHEMA) | ||
| .field("approval", Schema.BOOLEAN_SCHEMA) | ||
| .field("info_array_string", SchemaBuilder.array(Schema.STRING_SCHEMA).build()) | ||
| .field("info_array_int", SchemaBuilder.array(Schema.INT32_SCHEMA).build()) | ||
| .field("info_array_json", SchemaBuilder.array(Schema.OPTIONAL_STRING_SCHEMA).build()) | ||
| .field( | ||
| "info_map", SchemaBuilder.map(Schema.STRING_SCHEMA, Schema.INT32_SCHEMA).build()); | ||
| return schemaBuilder.build(); | ||
| } | ||
|
|
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| private Struct prepareData(Schema schema) { | ||
| return new Struct(schema) | ||
| .put("id_int8", (byte) 0) | ||
| .put("id_int16", (short) 42) | ||
| .put("ID_INT32", 42) | ||
| .put("id_int64", 42L) | ||
| .put("first_name", "zekai") | ||
| .put("rating_float32", 0.99f) | ||
| .put("float_nan", Float.NaN) | ||
| .put("rating_float64", 0.99d) | ||
| .put("approval", true) | ||
| .put("info_array_string", Arrays.asList("a", "b")) | ||
| .put("info_array_int", Arrays.asList(1, 2)) | ||
| .put( | ||
| "info_array_json", | ||
| Arrays.asList(null, "{\"a\": 1, \"b\": null, \"c\": null, \"d\": \"89asda9s0a\"}")) | ||
| .put("info_map", Collections.singletonMap("field", 3)); | ||
| } | ||
|
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| private static Stream<Arguments> singleBufferParameters() { | ||
| return Stream.of(Arguments.of(false), Arguments.of(true)); | ||
| } | ||
|
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| private void waitUntilOffsetEquals(long expectedOffset) { | ||
| await() | ||
| .timeout(Duration.ofSeconds(60)) | ||
| .until(() -> service.getOffset(new TopicPartition(topic, PARTITION)) == expectedOffset); | ||
| } | ||
| } |
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