/*
* 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.ambari.view.hive20.internal.parsers;
import java.util.ArrayList;
import java.util.List;
import java.util.regex.Matcher;
import java.util.regex.Pattern;
public class ParserUtils {
public static final String DATA_TYPE_REGEX = "\\s*([^() ]+)\\s*(\\s*\\(\\s*([0-9]+)\\s*(\\s*,\\s*([0-9]+))?\\s*\\)\\s*)?\\s*";
/**
* @param columnDataTypeString : the string that needs to be parsed as a datatype example : decimal(10,3)
* @return a list of string containing type, precision and scale in that order if present, null otherwise
*/
public static List<String> parseColumnDataType(String columnDataTypeString) {
List<String> typePrecisionScale = new ArrayList<>(3);
Pattern pattern = Pattern.compile(DATA_TYPE_REGEX);
Matcher matcher = pattern.matcher(columnDataTypeString);
if (matcher.find()) {
typePrecisionScale.add(matcher.group(1));
typePrecisionScale.add(matcher.group(3));
typePrecisionScale.add(matcher.group(5));
}else{
typePrecisionScale.add(null);
typePrecisionScale.add(null);
typePrecisionScale.add(null);
}
return typePrecisionScale;
}
}