Java Code Examples for io.confluent.kafka.schemaregistry.client.SchemaMetadata#getSchema()
The following examples show how to use
io.confluent.kafka.schemaregistry.client.SchemaMetadata#getSchema() .
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Example 1
Source File: SchemaRegistryMockTest.java From fluent-kafka-streams-tests with MIT License | 6 votes |
@Test void shouldHaveLatestSchemaVersion() throws IOException, RestClientException { final Schema valueSchema1 = createSchema("value_schema"); final String topic = "test-topic"; final int id1 = this.schemaRegistry.registerValueSchema(topic, valueSchema1); final List<Schema.Field> fields = Collections.singletonList( new Schema.Field("f1", Schema.create(Schema.Type.STRING), "", (Object) null)); final Schema valueSchema2 = Schema.createRecord("value_schema", "no doc", "", false, fields); final int id2 = this.schemaRegistry.registerValueSchema(topic, valueSchema2); final List<Integer> versions = this.schemaRegistry.getSchemaRegistryClient().getAllVersions(topic + "-value"); assertThat(versions.size()).isEqualTo(2); final SchemaMetadata metadata = this.schemaRegistry.getSchemaRegistryClient().getLatestSchemaMetadata(topic + "-value"); final int metadataId = metadata.getId(); assertThat(metadataId).isNotEqualTo(id1); assertThat(metadataId).isEqualTo(id2); final String schemaString = metadata.getSchema(); final Schema retrievedSchema = new Schema.Parser().parse(schemaString); assertThat(retrievedSchema).isEqualTo(valueSchema2); }
Example 2
Source File: SchemaRegistryMockExtensionTest.java From fluent-kafka-streams-tests with MIT License | 6 votes |
@Test void shouldHaveSchemaVersions() throws IOException, RestClientException { final Schema valueSchema = this.createSchema("value_schema"); final String topic = "test-topic"; final int id = this.schemaRegistry.registerValueSchema(topic, valueSchema); final List<Integer> versions = this.schemaRegistry.getSchemaRegistryClient().getAllVersions(topic + "-value"); assertThat(versions.size()).isOne(); final SchemaMetadata metadata = this.schemaRegistry.getSchemaRegistryClient().getSchemaMetadata(topic + "-value", versions.get(0)); assertThat(metadata.getId()).isEqualTo(id); final String schemaString = metadata.getSchema(); final Schema retrievedSchema = new Schema.Parser().parse(schemaString); assertThat(retrievedSchema).isEqualTo(valueSchema); }
Example 3
Source File: SchemaRegistryMockExtensionTest.java From fluent-kafka-streams-tests with MIT License | 6 votes |
@Test void shouldHaveLatestSchemaVersion() throws IOException, RestClientException { final Schema valueSchema1 = this.createSchema("value_schema"); final String topic = "test-topic"; final int id1 = this.schemaRegistry.registerValueSchema(topic, valueSchema1); final List<Schema.Field> fields = Collections.singletonList( new Schema.Field("f1", Schema.create(Schema.Type.STRING), "", (Object) null)); final Schema valueSchema2 = Schema.createRecord("value_schema", "no doc", "", false, fields); final int id2 = this.schemaRegistry.registerValueSchema(topic, valueSchema2); final List<Integer> versions = this.schemaRegistry.getSchemaRegistryClient().getAllVersions(topic + "-value"); assertThat(versions.size()).isEqualTo(2); final SchemaMetadata metadata = this.schemaRegistry.getSchemaRegistryClient().getLatestSchemaMetadata(topic + "-value"); final int metadataId = metadata.getId(); assertThat(metadataId).isNotEqualTo(id1); assertThat(metadataId).isEqualTo(id2); final String schemaString = metadata.getSchema(); final Schema retrievedSchema = new Schema.Parser().parse(schemaString); assertThat(retrievedSchema).isEqualTo(valueSchema2); }
Example 4
Source File: SchemaRegistryMockRuleTest.java From fluent-kafka-streams-tests with MIT License | 6 votes |
@Test public void shouldHaveSchemaVersions() throws IOException, RestClientException { final Schema valueSchema = this.createSchema("value_schema"); final String topic = "test-topic"; final int id = this.schemaRegistry.registerValueSchema(topic, valueSchema); final List<Integer> versions = this.schemaRegistry.getSchemaRegistryClient().getAllVersions(topic + "-value"); assertThat(versions.size()).isOne(); final SchemaMetadata metadata = this.schemaRegistry.getSchemaRegistryClient().getSchemaMetadata(topic + "-value", versions.get(0)); assertThat(metadata.getId()).isEqualTo(id); final String schemaString = metadata.getSchema(); final Schema retrievedSchema = new Schema.Parser().parse(schemaString); assertThat(retrievedSchema).isEqualTo(valueSchema); }
Example 5
Source File: SchemaRegistryMockRuleTest.java From fluent-kafka-streams-tests with MIT License | 6 votes |
@Test public void shouldHaveLatestSchemaVersion() throws IOException, RestClientException { final Schema valueSchema1 = this.createSchema("value_schema"); final String topic = "test-topic"; final int id1 = this.schemaRegistry.registerValueSchema(topic, valueSchema1); final List<Schema.Field> fields = Collections.singletonList( new Schema.Field("f1", Schema.create(Schema.Type.STRING), "", (Object) null)); final Schema valueSchema2 = Schema.createRecord("value_schema", "no doc", "", false, fields); final int id2 = this.schemaRegistry.registerValueSchema(topic, valueSchema2); final List<Integer> versions = this.schemaRegistry.getSchemaRegistryClient().getAllVersions(topic + "-value"); assertThat(versions.size()).isEqualTo(2); final SchemaMetadata metadata = this.schemaRegistry.getSchemaRegistryClient().getLatestSchemaMetadata(topic + "-value"); final int metadataId = metadata.getId(); assertThat(metadataId).isNotEqualTo(id1); assertThat(metadataId).isEqualTo(id2); final String schemaString = metadata.getSchema(); final Schema retrievedSchema = new Schema.Parser().parse(schemaString); assertThat(retrievedSchema).isEqualTo(valueSchema2); }
Example 6
Source File: SchemaRegistryMockTest.java From fluent-kafka-streams-tests with MIT License | 5 votes |
@Test void shouldHaveSchemaVersions() throws IOException, RestClientException { final Schema valueSchema = createSchema("value_schema"); final String topic = "test-topic"; final int id = this.schemaRegistry.registerValueSchema(topic, valueSchema); final List<Integer> versions = this.schemaRegistry.getSchemaRegistryClient().getAllVersions(topic + "-value"); assertThat(versions.size()).isOne(); final SchemaMetadata metadata = this.schemaRegistry.getSchemaRegistryClient().getSchemaMetadata(topic + "-value", versions.get(0)); assertThat(metadata.getId()).isEqualTo(id); final String schemaString = metadata.getSchema(); final Schema retrievedSchema = new Schema.Parser().parse(schemaString); assertThat(retrievedSchema).isEqualTo(valueSchema); }
Example 7
Source File: AvroUtil.java From ksql-fork-with-deep-learning-function with Apache License 2.0 | 4 votes |
public Pair<AbstractStreamCreateStatement, String> checkAndSetAvroSchema( final AbstractStreamCreateStatement abstractStreamCreateStatement, final Map<String, Object> streamsProperties, final SchemaRegistryClient schemaRegistryClient ) { Map<String, Expression> ddlProperties = abstractStreamCreateStatement.getProperties(); if (!ddlProperties.containsKey(DdlConfig.VALUE_FORMAT_PROPERTY)) { throw new KsqlException(String.format( "%s should be set in WITH clause of CREATE STREAM/TABLE statement.", DdlConfig.VALUE_FORMAT_PROPERTY ) ); } final String serde = StringUtil.cleanQuotes( ddlProperties.get(DdlConfig.VALUE_FORMAT_PROPERTY).toString() ); if (!serde.equalsIgnoreCase(DataSource.AVRO_SERDE_NAME)) { return new Pair<>(abstractStreamCreateStatement, null); } String kafkaTopicName = StringUtil.cleanQuotes( ddlProperties.get(DdlConfig.KAFKA_TOPIC_NAME_PROPERTY).toString() ); try { // If the schema is not specified infer it from the Avro schema in Schema Registry. if (abstractStreamCreateStatement.getElements().isEmpty()) { SchemaMetadata schemaMetadata = fetchSchemaMetadata( abstractStreamCreateStatement, schemaRegistryClient, kafkaTopicName ); String avroSchemaString = schemaMetadata.getSchema(); streamsProperties.put(DdlConfig.AVRO_SCHEMA, avroSchemaString); Schema schema = SerDeUtil.getSchemaFromAvro(avroSchemaString); AbstractStreamCreateStatement abstractStreamCreateStatementCopy = addAvroFields( abstractStreamCreateStatement, schema, schemaMetadata.getId() ); return new Pair<>( abstractStreamCreateStatementCopy, SqlFormatter.formatSql(abstractStreamCreateStatementCopy) ); } else { return new Pair<>(abstractStreamCreateStatement, null); } } catch (Exception e) { String errorMessage = String.format( " Unable to verify the AVRO schema is compatible with KSQL. %s ", e.getMessage() ); throw new KsqlException(errorMessage); } }