kafka ExtractField 源码
kafka ExtractField 代码
文件路径:/connect/transforms/src/main/java/org/apache/kafka/connect/transforms/ExtractField.java
/*
* 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.
*/
package org.apache.kafka.connect.transforms;
import org.apache.kafka.common.config.ConfigDef;
import org.apache.kafka.connect.connector.ConnectRecord;
import org.apache.kafka.connect.data.Field;
import org.apache.kafka.connect.data.Schema;
import org.apache.kafka.connect.data.Struct;
import org.apache.kafka.connect.transforms.util.SimpleConfig;
import java.util.Map;
import static org.apache.kafka.connect.transforms.util.Requirements.requireMapOrNull;
import static org.apache.kafka.connect.transforms.util.Requirements.requireStructOrNull;
public abstract class ExtractField<R extends ConnectRecord<R>> implements Transformation<R> {
public static final String OVERVIEW_DOC =
"Extract the specified field from a Struct when schema present, or a Map in the case of schemaless data. "
+ "Any null values are passed through unmodified."
+ "<p/>Use the concrete transformation type designed for the record key (<code>" + Key.class.getName() + "</code>) "
+ "or value (<code>" + Value.class.getName() + "</code>).";
private static final String FIELD_CONFIG = "field";
public static final ConfigDef CONFIG_DEF = new ConfigDef()
.define(FIELD_CONFIG, ConfigDef.Type.STRING, ConfigDef.NO_DEFAULT_VALUE, ConfigDef.Importance.MEDIUM, "Field name to extract.");
private static final String PURPOSE = "field extraction";
private String fieldName;
@Override
public void configure(Map<String, ?> props) {
final SimpleConfig config = new SimpleConfig(CONFIG_DEF, props);
fieldName = config.getString(FIELD_CONFIG);
}
@Override
public R apply(R record) {
final Schema schema = operatingSchema(record);
if (schema == null) {
final Map<String, Object> value = requireMapOrNull(operatingValue(record), PURPOSE);
return newRecord(record, null, value == null ? null : value.get(fieldName));
} else {
final Struct value = requireStructOrNull(operatingValue(record), PURPOSE);
Field field = schema.field(fieldName);
if (field == null) {
throw new IllegalArgumentException("Unknown field: " + fieldName);
}
return newRecord(record, field.schema(), value == null ? null : value.get(fieldName));
}
}
@Override
public void close() {
}
@Override
public ConfigDef config() {
return CONFIG_DEF;
}
protected abstract Schema operatingSchema(R record);
protected abstract Object operatingValue(R record);
protected abstract R newRecord(R record, Schema updatedSchema, Object updatedValue);
public static class Key<R extends ConnectRecord<R>> extends ExtractField<R> {
@Override
protected Schema operatingSchema(R record) {
return record.keySchema();
}
@Override
protected Object operatingValue(R record) {
return record.key();
}
@Override
protected R newRecord(R record, Schema updatedSchema, Object updatedValue) {
return record.newRecord(record.topic(), record.kafkaPartition(), updatedSchema, updatedValue, record.valueSchema(), record.value(), record.timestamp());
}
}
public static class Value<R extends ConnectRecord<R>> extends ExtractField<R> {
@Override
protected Schema operatingSchema(R record) {
return record.valueSchema();
}
@Override
protected Object operatingValue(R record) {
return record.value();
}
@Override
protected R newRecord(R record, Schema updatedSchema, Object updatedValue) {
return record.newRecord(record.topic(), record.kafkaPartition(), record.keySchema(), record.key(), updatedSchema, updatedValue, record.timestamp());
}
}
}
相关信息
相关文章
0
赞
热门推荐
-
2、 - 优质文章
-
3、 gate.io
-
7、 golang
-
9、 openharmony
-
10、 Vue中input框自动聚焦