org.apache.druid.java.util.common.parsers.ObjectFlattener 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.java.util.common.parsers;
import java.util.Map;
public interface ObjectFlattener
{
/**
* Transforms an input row object into a {@link Map}, likely based on the instructions in some {@link JSONPathSpec}.
*
* This method is used in normal ingestion to extract values into a map to translate into an
* {@link org.apache.druid.data.input.InputRow}
*/
Map flatten(T obj);
/**
* Completely transforms an input row into a {@link Map}, including translating all nested structure into plain java
* objects such as {@link Map} and {@link java.util.List}. This method should translate everything as much as
* possible, ignoring any instructions in {@link JSONPathSpec} which might otherwise limit the amount of
* transformation done.
*
* This method is used by the ingestion "sampler" to provide a "raw" JSON form of the original input data, regardless
* of actual format, so that it can use "inline" JSON datasources and reduce sampling overhead.
*/
Map toMap(T obj);
}