-
Notifications
You must be signed in to change notification settings - Fork 100
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
1 parent
bcf5125
commit 2d2fda9
Showing
5 changed files
with
256 additions
and
167 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
243 changes: 243 additions & 0 deletions
243
...wflake/kafka/connector/internal/streaming/SnowflakeSinkServiceV2AvroSchematizationIT.java
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,243 @@ | ||
| package com.snowflake.kafka.connector.internal.streaming; | ||
|
|
||
| import static com.snowflake.kafka.connector.internal.TestUtils.getTableContentOneRow; | ||
| import static com.snowflake.kafka.connector.internal.streaming.channel.TopicPartitionChannel.NO_OFFSET_TOKEN_REGISTERED_IN_SNOWFLAKE; | ||
| import static org.awaitility.Awaitility.await; | ||
|
|
||
| import com.snowflake.kafka.connector.SnowflakeSinkConnectorConfig; | ||
| import com.snowflake.kafka.connector.dlq.InMemoryKafkaRecordErrorReporter; | ||
| 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.HashMap; | ||
| import java.util.Map; | ||
| import java.util.stream.Stream; | ||
| import org.apache.commons.lang3.StringUtils; | ||
| 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.Assertions; | ||
| 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; | ||
|
|
||
| public class SnowflakeSinkServiceV2AvroSchematizationIT { | ||
|
|
||
| private static final int PARTITION = 0; | ||
| private static final int START_OFFSET = 0; | ||
|
|
||
| private static final String ID_INT8 = "ID_INT8"; | ||
| private static final String ID_INT8_OPTIONAL = "ID_INT8_OPTIONAL"; | ||
| private static final String ID_INT16 = "ID_INT16"; | ||
| private static final String ID_INT32 = "ID_INT32"; | ||
| private static final String ID_INT64 = "ID_INT64"; | ||
| private static final String FIRST_NAME = "FIRST_NAME"; | ||
| private static final String RATING_FLOAT32 = "RATING_FLOAT32"; | ||
| private static final String FLOAT_NAN = "FLOAT_NAN"; | ||
| private static final String RATING_FLOAT64 = "RATING_FLOAT64"; | ||
| private static final String APPROVAL = "APPROVAL"; | ||
| private static final String INFO_ARRAY_STRING = "INFO_ARRAY_STRING"; | ||
| private static final String INFO_ARRAY_INT = "INFO_ARRAY_INT"; | ||
| private static final String INFO_ARRAY_JSON = "INFO_ARRAY_JSON"; | ||
| private static final String INFO_MAP = "INFO_MAP"; | ||
| private static final String RECORD_METADATA = "RECORD_METADATA"; | ||
|
|
||
| private static final Map<String, String> EXPECTED_AVRO_SCHEMA = | ||
| new HashMap<String, String>() { | ||
| { | ||
| put(ID_INT8, "NUMBER"); | ||
| put(ID_INT8_OPTIONAL, "NUMBER"); | ||
| put(ID_INT16, "NUMBER"); | ||
| put(ID_INT32, "NUMBER"); | ||
| put(ID_INT64, "NUMBER"); | ||
| put(FIRST_NAME, "VARCHAR"); | ||
| put(RATING_FLOAT32, "FLOAT"); | ||
| put(FLOAT_NAN, "FLOAT"); | ||
| put(RATING_FLOAT64, "FLOAT"); | ||
| put(APPROVAL, "BOOLEAN"); | ||
| put(INFO_ARRAY_STRING, "ARRAY"); | ||
| put(INFO_ARRAY_INT, "ARRAY"); | ||
| put(INFO_ARRAY_JSON, "ARRAY"); | ||
| put(INFO_MAP, "VARIANT"); | ||
| put(RECORD_METADATA, "VARIANT"); | ||
| } | ||
| }; | ||
|
|
||
| private String table; | ||
| private SnowflakeConnectionService conn; | ||
| private String topic; | ||
| private TopicPartition topicPartition; | ||
|
|
||
| private SnowflakeSinkService service; | ||
|
|
||
| @BeforeEach | ||
| void before() { | ||
| table = TestUtils.randomTableName(); | ||
| topic = table; | ||
| conn = TestUtils.getConnectionServiceForStreaming(); | ||
| topicPartition = new TopicPartition(topic, PARTITION); | ||
| } | ||
|
|
||
| @AfterEach | ||
| void after() { | ||
| service.closeAll(); | ||
| } | ||
|
|
||
| @ParameterizedTest(name = "useSingleBuffer: {0}") | ||
| @MethodSource("singleBufferParameters") | ||
| public void testSchematizationWithTableCreationAndAvroInput(boolean useSingleBuffer) | ||
| throws Exception { | ||
| // given | ||
| conn.createTableWithOnlyMetadataColumn(table); | ||
| SinkRecord avroRecordValue = createSinkRecord(); | ||
| service = createService(useSingleBuffer); | ||
|
|
||
| // when | ||
| // The first insert should fail and schema evolution will kick in to update the schema | ||
| service.insert(Collections.singletonList(avroRecordValue)); | ||
|
|
||
| // then | ||
| waitUntilOffsetEquals(NO_OFFSET_TOKEN_REGISTERED_IN_SNOWFLAKE); | ||
| TestUtils.checkTableSchema(table, EXPECTED_AVRO_SCHEMA); | ||
|
|
||
| // when | ||
| // Retry the insert should succeed now with the updated schema | ||
| service.insert(Collections.singletonList(avroRecordValue)); | ||
|
|
||
| // then | ||
| waitUntilOffsetEquals(START_OFFSET + 1); | ||
|
|
||
| Map<String, Object> actual = getTableContentOneRow(topic); | ||
| Assertions.assertEquals(actual.get(ID_INT8), 0L); | ||
| Assertions.assertNull(actual.get(ID_INT8_OPTIONAL)); | ||
| Assertions.assertEquals(actual.get(ID_INT16), 42L); | ||
| Assertions.assertEquals(actual.get(ID_INT32), 42L); | ||
| Assertions.assertEquals(actual.get(ID_INT64), 42L); | ||
| Assertions.assertEquals(actual.get(FIRST_NAME), "zekai"); | ||
| Assertions.assertEquals(actual.get(RATING_FLOAT32), 0.99); | ||
| Assertions.assertEquals( | ||
| actual.get(FLOAT_NAN), Double.NaN); // float is extended to double on SF side | ||
| Assertions.assertEquals(actual.get(RATING_FLOAT64), 0.99); | ||
| Assertions.assertEquals(actual.get(APPROVAL), true); | ||
| Assertions.assertEquals( | ||
| StringUtils.deleteWhitespace(actual.get(INFO_ARRAY_STRING).toString()), "[\"a\",\"b\"]"); | ||
| Assertions.assertEquals( | ||
| StringUtils.deleteWhitespace(actual.get(INFO_ARRAY_INT).toString()), "[1,2]"); | ||
| Assertions.assertEquals( | ||
| StringUtils.deleteWhitespace(actual.get(INFO_ARRAY_JSON).toString()), | ||
| "[null,\"{\\\"a\\\":1,\\\"b\\\":null,\\\"c\\\":null,\\\"d\\\":\\\"89asda9s0a\\\"}\"]"); | ||
| Assertions.assertEquals( | ||
| StringUtils.deleteWhitespace(actual.get(INFO_MAP).toString()), "{\"field\":3}"); | ||
| } | ||
|
|
||
| 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(); | ||
| } | ||
|
|
||
| private SinkRecord createSinkRecord() { | ||
| Schema schema = prepareSchema(); | ||
| Struct data = prepareData(schema); | ||
| AvroConverter avroConverter = prepareAvroConverter(); | ||
|
|
||
| byte[] converted = avroConverter.fromConnectData(topic, data.schema(), data); | ||
| conn.createTableWithOnlyMetadataColumn(table); | ||
|
|
||
| SchemaAndValue avroInputValue = avroConverter.toConnectData(topic, converted); | ||
|
|
||
| return new SinkRecord( | ||
| topic, | ||
| PARTITION, | ||
| Schema.STRING_SCHEMA, | ||
| "test", | ||
| avroInputValue.schema(), | ||
| avroInputValue.value(), | ||
| START_OFFSET); | ||
| } | ||
|
|
||
| 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; | ||
| } | ||
|
|
||
| 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; | ||
| } | ||
|
|
||
| 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(); | ||
| } | ||
|
|
||
| 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)); | ||
| } | ||
|
|
||
| private static Stream<Arguments> singleBufferParameters() { | ||
| return Stream.of(Arguments.of(false), Arguments.of(true)); | ||
| } | ||
|
|
||
| private void waitUntilOffsetEquals(long expectedOffset) { | ||
| await() | ||
| .timeout(Duration.ofSeconds(60)) | ||
| .until(() -> service.getOffset(new TopicPartition(topic, PARTITION)) == expectedOffset); | ||
| } | ||
| } |
Oops, something went wrong.