org.apache.druid.segment.RowAdapter Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of druid-processing Show documentation
Show all versions of druid-processing Show documentation
A module that is everything required to understands Druid Segments
/*
* 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.druid.segment;
import org.apache.druid.segment.column.ColumnHolder;
import java.util.function.Function;
import java.util.function.ToLongFunction;
/**
* An adapter between arbitrary types and the needs of callers that want to read specific columns out of those
* types (treating them as rows).
*/
public interface RowAdapter
{
/**
* Returns a function that retrieves timestamps from rows.
*
* The default implementation delegates to {@link #columnFunction} and expects it to already contain long-typed
* values or nulls. Nulls, if present, will be converted to zeroes.
*/
default ToLongFunction timestampFunction()
{
final Function timeColumnFunction = columnFunction(ColumnHolder.TIME_COLUMN_NAME);
return row -> {
final Object obj = timeColumnFunction.apply(row);
if (obj == null) {
return 0L;
} else {
return (long) obj;
}
};
}
/**
* Returns a function that retrieves the value for column "columnName" from rows.
*/
Function columnFunction(String columnName);
}