org.apache.inlong.sort.redis.common.schema.impl.HashDynamicSchema Maven / Gradle / Ivy
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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.
*/
package org.apache.inlong.sort.redis.common.schema.impl;
import org.apache.inlong.sort.redis.common.schema.StateEncoder;
import org.apache.flink.api.java.tuple.Tuple4;
import org.apache.flink.table.catalog.ResolvedSchema;
import org.apache.flink.table.data.ArrayData;
import org.apache.flink.table.data.GenericRowData;
import org.apache.flink.table.data.MapData;
import org.apache.flink.table.data.StringData;
import java.util.stream.Collectors;
import java.util.stream.IntStream;
/**
* The RedisSchema for Hash data-type and Dynamic mode.
*/
public class HashDynamicSchema extends HashStaticPrefixMatchSchema {
public HashDynamicSchema(ResolvedSchema resolvedSchema) {
super(resolvedSchema);
}
@Override
public void validate(ResolvedSchema resolvedSchema) {
validateDynamic(resolvedSchema);
}
@Override
public int getKeyIndex() {
return 0;
}
@Override
public int getValueIndex() {
return 1;
}
@Override
public StateEncoder> getStateEncoder() {
return (in, serializationSchema) -> {
boolean rowKind = getRowKind(in.getRowKind());
GenericRowData row = (GenericRowData) in;
String rowKey = row.getString(getKeyIndex()).toString();
MapData fieldMap = row.getMap(getValueIndex());
ArrayData keyArray = fieldMap.keyArray();
ArrayData valueMap = fieldMap.valueArray();
return IntStream
.range(0, fieldMap.size())
.boxed()
.map(i -> {
String fieldName = keyArray.getString(i).toString();
byte[] binary = valueMap.getBinary(i);
String fieldValue = StringData.fromBytes(binary).toString();
return Tuple4.of(rowKind, rowKey, fieldName, fieldValue);
})
.collect(Collectors.toList());
};
}
}