Here you can find the source of columnPrecision(int columnType)
Parameter | Description |
---|---|
columnType | the column type |
Parameter | Description |
---|---|
SQLException | the SQL exception |
static int columnPrecision(int columnType) throws SQLException
//package com.java2s; /**//from www. ja v a 2 s .com * 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. */ import java.sql.SQLException; import java.sql.Types; public class Main { /** * Column precision. * * @param columnType the column type * @return the int * @throws SQLException the SQL exception */ static int columnPrecision(int columnType) throws SQLException { // according to hiveTypeToSqlType possible options are: switch (columnType) { case Types.BOOLEAN: return 1; case Types.CHAR: case Types.VARCHAR: return Integer.MAX_VALUE; // hive has no max limit for strings case Types.BINARY: return Integer.MAX_VALUE; // hive has no max limit for binary case Types.TINYINT: return 3; case Types.SMALLINT: return 5; case Types.INTEGER: return 10; case Types.BIGINT: return 19; case Types.FLOAT: return 7; case Types.DOUBLE: return 15; case Types.DATE: return 10; case Types.TIMESTAMP: return 29; case Types.DECIMAL: return 5; case Types.JAVA_OBJECT: case Types.ARRAY: case Types.STRUCT: return Integer.MAX_VALUE; default: throw new SQLException("Invalid column type: " + columnType); } } }