FangYongs commented on code in PR #22362: URL: https://github.com/apache/flink/pull/22362#discussion_r1175955153
########## flink-table/flink-sql-jdbc-driver/src/main/java/org/apache/flink/table/jdbc/FlinkDatabaseMetaData.java: ########## @@ -0,0 +1,402 @@ +/* + * 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.flink.table.jdbc; + +import org.apache.flink.annotation.VisibleForTesting; +import org.apache.flink.table.client.gateway.Executor; +import org.apache.flink.table.client.gateway.StatementResult; + +import javax.annotation.Nullable; + +import java.sql.Connection; +import java.sql.ResultSet; +import java.sql.SQLException; +import java.sql.Statement; +import java.util.ArrayList; +import java.util.HashMap; +import java.util.List; +import java.util.Map; + +import static org.apache.flink.table.jdbc.utils.DatabaseMetaDataUtils.createCatalogsResultSet; +import static org.apache.flink.table.jdbc.utils.DatabaseMetaDataUtils.createSchemasResultSet; + +/** Implementation of {@link java.sql.DatabaseMetaData} for flink jdbc driver. */ +public class FlinkDatabaseMetaData extends BaseDatabaseMetaData { + private final String url; + private final FlinkConnection connection; + private final Statement statement; + private final Executor executor; + + @VisibleForTesting + public FlinkDatabaseMetaData(String url, FlinkConnection connection, Statement statement) { + this.url = url; + this.connection = connection; + this.statement = statement; + this.executor = connection.getExecutor(); + } + + @Override + public ResultSet getCatalogs() throws SQLException { + try (StatementResult result = catalogs()) { + return createCatalogsResultSet(statement, result); + } catch (Exception e) { + throw new SQLException("Get catalogs fail", e); + } + } + + private StatementResult catalogs() { + return executor.executeStatement("SHOW CATALOGS"); + } + + @Override + public ResultSet getSchemas() throws SQLException { + try { + String currentCatalog = connection.getCatalog(); + String currentDatabase = connection.getSchema(); + List<String> catalogList = new ArrayList<>(); + Map<String, List<String>> catalogSchemaList = new HashMap<>(); + try (StatementResult result = catalogs()) { + while (result.hasNext()) { + String catalog = result.next().getString(0).toString(); + getSchemasForCatalog(catalogList, catalogSchemaList, catalog, null); + } + } + connection.setCatalog(currentCatalog); + connection.setSchema(currentDatabase); + + return createSchemasResultSet(statement, catalogList, catalogSchemaList); + } catch (Exception e) { + throw new SQLException("Get schemas fail", e); + } + } + + private void getSchemasForCatalog( + List<String> catalogList, + Map<String, List<String>> catalogSchemaList, + String catalog, + @Nullable String schemaPattern) + throws SQLException { + catalogList.add(catalog); + connection.setCatalog(catalog); + + List<String> schemas = new ArrayList<>(); + try (StatementResult schemaResult = schemas()) { + while (schemaResult.hasNext()) { + String schema = schemaResult.next().getString(0).toString(); + if (schemaPattern == null || schema.contains(schemaPattern)) { Review Comment: Get it, I check the implementation in trino jdbc driver, the `schemaPattern` will be used in like. I will update it -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: issues-unsubscr...@flink.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org
