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[improve]Improve the entry point for creating tableSchema (apache#439)
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...oris-connector/src/main/java/org/apache/doris/flink/catalog/doris/DorisSchemaFactory.java
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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. | ||
|
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| package org.apache.doris.flink.catalog.doris; | ||
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| import org.apache.flink.annotation.VisibleForTesting; | ||
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| import org.apache.commons.collections.CollectionUtils; | ||
| import org.apache.commons.collections.MapUtils; | ||
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| import java.util.ArrayList; | ||
| import java.util.Collections; | ||
| import java.util.LinkedHashMap; | ||
| import java.util.List; | ||
| import java.util.Map; | ||
| import java.util.Map.Entry; | ||
| import java.util.regex.Pattern; | ||
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| /** | ||
| * Factory that creates doris schema. | ||
| * | ||
| * <p>In the case where doris schema needs to be created, it is best to create it through this | ||
| * factory | ||
| */ | ||
| public class DorisSchemaFactory { | ||
| private static Map<String, Integer> tableBucketMap; | ||
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| public static TableSchema createTableSchema( | ||
| String database, | ||
| String table, | ||
| Map<String, FieldSchema> columnFields, | ||
| List<String> pkKeys, | ||
| Map<String, String> tableProperties, | ||
| String tableComment) { | ||
| TableSchema tableSchema = new TableSchema(); | ||
| tableSchema.setDatabase(database); | ||
| tableSchema.setTable(table); | ||
| tableSchema.setModel( | ||
| CollectionUtils.isEmpty(pkKeys) ? DataModel.DUPLICATE : DataModel.UNIQUE); | ||
| tableSchema.setFields(columnFields); | ||
| tableSchema.setKeys(buildKeys(pkKeys, columnFields)); | ||
| tableSchema.setTableComment(tableComment); | ||
| tableSchema.setDistributeKeys(buildDistributeKeys(pkKeys, columnFields)); | ||
| tableSchema.setProperties(tableProperties); | ||
| if (tableProperties.containsKey("table-buckets")) { | ||
| if (MapUtils.isEmpty(tableBucketMap)) { | ||
| String tableBucketsConfig = tableProperties.get("table-buckets"); | ||
| tableBucketMap = buildTableBucketMap(tableBucketsConfig); | ||
| } | ||
| Integer buckets = parseTableSchemaBuckets(tableBucketMap, table); | ||
| tableSchema.setTableBuckets(buckets); | ||
| } | ||
| return tableSchema; | ||
| } | ||
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| private static List<String> buildDistributeKeys( | ||
| List<String> primaryKeys, Map<String, FieldSchema> fields) { | ||
| return buildKeys(primaryKeys, fields); | ||
| } | ||
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| /** | ||
| * Theoretically, the duplicate table of doris does not need to distinguish the key column, but | ||
| * in the actual table creation statement, the key column will be automatically added. So if it | ||
| * is a duplicate table, primaryKeys is empty, and we uniformly take the first field as the key. | ||
| */ | ||
| private static List<String> buildKeys( | ||
| List<String> primaryKeys, Map<String, FieldSchema> fields) { | ||
| if (CollectionUtils.isNotEmpty(primaryKeys)) { | ||
| return primaryKeys; | ||
| } | ||
| if (!fields.isEmpty()) { | ||
| Entry<String, FieldSchema> firstField = fields.entrySet().iterator().next(); | ||
| return Collections.singletonList(firstField.getKey()); | ||
| } | ||
| return new ArrayList<>(); | ||
| } | ||
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| @VisibleForTesting | ||
| public static Integer parseTableSchemaBuckets( | ||
| Map<String, Integer> tableBucketsMap, String tableName) { | ||
| if (tableBucketsMap != null) { | ||
| // Firstly, if the table name is in the table-buckets map, set the buckets of the table. | ||
| if (tableBucketsMap.containsKey(tableName)) { | ||
| return tableBucketsMap.get(tableName); | ||
| } | ||
| // Secondly, iterate over the map to find a corresponding regular expression match. | ||
| for (Entry<String, Integer> entry : tableBucketsMap.entrySet()) { | ||
| Pattern pattern = Pattern.compile(entry.getKey()); | ||
| if (pattern.matcher(tableName).matches()) { | ||
| return entry.getValue(); | ||
| } | ||
| } | ||
| } | ||
| return null; | ||
| } | ||
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| /** | ||
| * Build table bucket Map. | ||
| * | ||
| * @param tableBuckets the string of tableBuckets, eg:student:10,student_info:20,student.*:30 | ||
| * @return The table name and buckets map. The key is table name, the value is buckets. | ||
| */ | ||
| @VisibleForTesting | ||
| public static Map<String, Integer> buildTableBucketMap(String tableBuckets) { | ||
| Map<String, Integer> tableBucketsMap = new LinkedHashMap<>(); | ||
| String[] tableBucketsArray = tableBuckets.split(","); | ||
| for (String tableBucket : tableBucketsArray) { | ||
| String[] tableBucketArray = tableBucket.split(":"); | ||
| tableBucketsMap.put( | ||
| tableBucketArray[0].trim(), Integer.parseInt(tableBucketArray[1].trim())); | ||
| } | ||
| return tableBucketsMap; | ||
| } | ||
| } |
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