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Merge remote-tracking branch 'origin/feat_1.8_kafkaSourceAvro' into v…
…1.8.0_dev # Conflicts: # kafka-base/kafka-base-source/src/main/java/com/dtstack/flink/sql/source/kafka/table/KafkaSourceParser.java
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117
...fka-base-source/src/main/java/com/dtstack/flink/sql/source/kafka/AbstractKafkaSource.java
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| /* | ||
| * Licensed to the Apache Software Foundation (ASF) under one | ||
| * or more contributor license agreements. See the NOTICE file | ||
| * distributed with this work for additional information | ||
| * regarding copyright ownership. The ASF licenses this file | ||
| * to you under the Apache License, Version 2.0 (the | ||
| * "License"); you may not use this file except in compliance | ||
| * with the License. You may obtain a copy of the License at | ||
| * | ||
| * http://www.apache.org/licenses/LICENSE-2.0 | ||
| * | ||
| * Unless required by applicable law or agreed to in writing, software | ||
| * distributed under the License is distributed on an "AS IS" BASIS, | ||
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| * See the License for the specific language governing permissions and | ||
| * limitations under the License. | ||
| */ | ||
|
|
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| package com.dtstack.flink.sql.source.kafka; | ||
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| import com.dtstack.flink.sql.source.IStreamSourceGener; | ||
| import com.dtstack.flink.sql.source.kafka.enums.EKafkaOffset; | ||
| import com.dtstack.flink.sql.source.kafka.table.KafkaSourceTableInfo; | ||
| import com.dtstack.flink.sql.util.DtStringUtil; | ||
| import com.dtstack.flink.sql.util.PluginUtil; | ||
| import org.apache.commons.lang3.StringUtils; | ||
| import org.apache.flink.api.common.typeinfo.TypeInformation; | ||
| import org.apache.flink.api.java.typeutils.RowTypeInfo; | ||
| import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase; | ||
| import org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartition; | ||
| import org.apache.flink.table.api.Table; | ||
| import org.apache.flink.types.Row; | ||
| import org.apache.kafka.clients.consumer.ConsumerConfig; | ||
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|
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| import java.util.Map; | ||
| import java.util.Properties; | ||
| import java.util.stream.Collectors; | ||
| import java.util.stream.IntStream; | ||
|
|
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| /** | ||
| * Date: 2020/3/20 | ||
| * Company: www.dtstack.com | ||
| * @author maqi | ||
| */ | ||
| public abstract class AbstractKafkaSource implements IStreamSourceGener<Table> { | ||
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| private static final String SOURCE_OPERATOR_NAME_TPL = "${topic}_${table}"; | ||
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| protected Properties getKafkaProperties(KafkaSourceTableInfo kafkaSourceTableInfo) { | ||
| Properties props = new Properties(); | ||
| props.setProperty(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, kafkaSourceTableInfo.getBootstrapServers()); | ||
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| if (DtStringUtil.isJson(kafkaSourceTableInfo.getOffsetReset())) { | ||
| props.setProperty(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, EKafkaOffset.NONE.name().toLowerCase()); | ||
| } else { | ||
| props.setProperty(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, kafkaSourceTableInfo.getOffsetReset()); | ||
| } | ||
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| if (StringUtils.isNotBlank(kafkaSourceTableInfo.getGroupId())) { | ||
| props.setProperty(ConsumerConfig.GROUP_ID_CONFIG, kafkaSourceTableInfo.getGroupId()); | ||
| } | ||
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| for (String key : kafkaSourceTableInfo.getKafkaParamKeys()) { | ||
| props.setProperty(key, kafkaSourceTableInfo.getKafkaParam(key)); | ||
| } | ||
| return props; | ||
| } | ||
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| protected String generateOperatorName(String tabName, String topicName) { | ||
| return SOURCE_OPERATOR_NAME_TPL.replace("${topic}", topicName).replace("${table}", tabName); | ||
| } | ||
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| protected TypeInformation<Row> getRowTypeInformation(KafkaSourceTableInfo kafkaSourceTableInfo) { | ||
| Class<?>[] fieldClasses = kafkaSourceTableInfo.getFieldClasses(); | ||
| TypeInformation[] types = IntStream.range(0, fieldClasses.length) | ||
| .mapToObj(i -> TypeInformation.of(fieldClasses[i])) | ||
| .toArray(TypeInformation[]::new); | ||
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| return new RowTypeInfo(types, kafkaSourceTableInfo.getFields()); | ||
| } | ||
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| protected void setStartPosition(String offset, String topicName, FlinkKafkaConsumerBase<Row> kafkaSrc) { | ||
| if (StringUtils.equalsIgnoreCase(offset, EKafkaOffset.EARLIEST.name())) { | ||
| kafkaSrc.setStartFromEarliest(); | ||
| } else if (DtStringUtil.isJson(offset)) { | ||
| Map<KafkaTopicPartition, Long> specificStartupOffsets = buildOffsetMap(offset, topicName); | ||
| kafkaSrc.setStartFromSpecificOffsets(specificStartupOffsets); | ||
| } else { | ||
| kafkaSrc.setStartFromLatest(); | ||
| } | ||
| } | ||
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| /** | ||
| * kafka offset,eg.. {"0":12312,"1":12321,"2":12312} | ||
| * @param offsetJson | ||
| * @param topicName | ||
| * @return | ||
| */ | ||
| protected Map<KafkaTopicPartition, Long> buildOffsetMap(String offsetJson, String topicName) { | ||
| try { | ||
| Properties properties = PluginUtil.jsonStrToObject(offsetJson, Properties.class); | ||
| Map<String, Object> offsetMap = PluginUtil.objectToMap(properties); | ||
| Map<KafkaTopicPartition, Long> specificStartupOffsets = offsetMap | ||
| .entrySet() | ||
| .stream() | ||
| .collect(Collectors.toMap( | ||
| (Map.Entry<String, Object> entry) -> new KafkaTopicPartition(topicName, Integer.valueOf(entry.getKey())), | ||
| (Map.Entry<String, Object> entry) -> Long.valueOf(entry.getValue().toString())) | ||
| ); | ||
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| return specificStartupOffsets; | ||
| } catch (Exception e) { | ||
| throw new RuntimeException("not support offsetReset type:" + offsetJson); | ||
| } | ||
| } | ||
|
|
||
| } |
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