| /* |
| * 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.connector.jdbc.databases.oracle.table; |
| |
| import org.apache.flink.connector.jdbc.databases.oracle.OracleTestBase; |
| import org.apache.flink.connector.jdbc.databases.oracle.dialect.OracleDialect; |
| import org.apache.flink.connector.jdbc.testutils.TableManaged; |
| import org.apache.flink.connector.jdbc.testutils.tables.TableRow; |
| import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; |
| import org.apache.flink.table.api.DataTypes; |
| import org.apache.flink.table.api.TableEnvironment; |
| import org.apache.flink.table.api.bridge.java.StreamTableEnvironment; |
| import org.apache.flink.test.util.AbstractTestBase; |
| import org.apache.flink.types.Row; |
| import org.apache.flink.util.CollectionUtil; |
| |
| import org.junit.jupiter.api.BeforeEach; |
| import org.junit.jupiter.api.Test; |
| |
| import java.sql.Connection; |
| import java.util.Arrays; |
| import java.util.Collections; |
| import java.util.HashSet; |
| import java.util.Iterator; |
| import java.util.List; |
| import java.util.Set; |
| import java.util.stream.Collectors; |
| import java.util.stream.Stream; |
| |
| import static org.apache.flink.connector.jdbc.testutils.tables.TableBuilder.dbType; |
| import static org.apache.flink.connector.jdbc.testutils.tables.TableBuilder.field; |
| import static org.apache.flink.connector.jdbc.testutils.tables.TableBuilder.tableRow; |
| import static org.assertj.core.api.Assertions.assertThat; |
| |
| /** The Table Source ITCase for {@link OracleDialect}. */ |
| class OracleTableSourceITCase extends AbstractTestBase implements OracleTestBase { |
| |
| private static final TableRow INPUT_TABLE = |
| tableRow( |
| "oracle_test_table", |
| field("id", dbType("INTEGER"), DataTypes.INT().notNull()), |
| field("float_col", dbType("FLOAT"), DataTypes.FLOAT()), |
| field("double_col", dbType("DOUBLE PRECISION"), DataTypes.DOUBLE()), |
| field( |
| "decimal_col", |
| dbType("NUMBER(10,4) NOT NULL"), |
| DataTypes.DECIMAL(10, 4).notNull()), |
| field("binary_float_col", dbType("BINARY_FLOAT NOT NULL"), DataTypes.FLOAT()), |
| field( |
| "binary_double_col", |
| dbType("BINARY_DOUBLE NOT NULL"), |
| DataTypes.DOUBLE()), |
| field("char_col", dbType("CHAR NOT NULL"), DataTypes.CHAR(1)), |
| field("nchar_col", dbType("NCHAR(3) NOT NULL"), DataTypes.VARCHAR(3)), |
| field("varchar2_col", dbType("VARCHAR2(30) NOT NULL"), DataTypes.VARCHAR(30)), |
| field("date_col", dbType("DATE NOT NULL"), DataTypes.DATE()), |
| field("timestamp6_col", dbType("TIMESTAMP(6)"), DataTypes.TIMESTAMP(6)), |
| field("timestamp9_col", dbType("TIMESTAMP(9)"), DataTypes.TIMESTAMP(9)), |
| field("clob_col", dbType("CLOB"), DataTypes.STRING()), |
| field("blob_col", dbType("BLOB"), DataTypes.BYTES())); |
| |
| private static final String INPUT_TABLE_NAME = INPUT_TABLE.getTableName(); |
| |
| private static StreamExecutionEnvironment env; |
| private static TableEnvironment tEnv; |
| |
| @Override |
| public List<TableManaged> getManagedTables() { |
| return Collections.singletonList(INPUT_TABLE); |
| } |
| |
| @BeforeEach |
| void before() throws Exception { |
| try (Connection conn = getMetadata().getConnection()) { |
| INPUT_TABLE.insertIntoTableValues( |
| conn, |
| "1, 1.12345, 2.12345678790, 100.1234, 1.175E-10, 1.79769E+40, 'a', 'abc', 'abcdef'," |
| + "TO_DATE('1997-01-01','yyyy-mm-dd'), TIMESTAMP '2020-01-01 15:35:00.123456'," |
| + "TIMESTAMP '2020-01-01 15:35:00.123456789', 'Hello World', hextoraw('453d7a34')"); |
| INPUT_TABLE.insertIntoTableValues( |
| conn, |
| "2, 1.12345, 2.12345678790, 101.1234, -1.175E-10, -1.79769E+40, 'a', 'abc', 'abcdef'," |
| + "TO_DATE('1997-01-02','yyyy-mm-dd'), TIMESTAMP '2020-01-01 15:36:01.123456'," |
| + "TIMESTAMP '2020-01-01 15:36:01.123456789', 'Hey Leonard', hextoraw('453d7a34')"); |
| } |
| |
| env = StreamExecutionEnvironment.getExecutionEnvironment(); |
| tEnv = StreamTableEnvironment.create(env); |
| } |
| |
| @Test |
| void testJdbcSource() { |
| tEnv.executeSql(INPUT_TABLE.getCreateQueryForFlink(getMetadata(), INPUT_TABLE_NAME)); |
| Iterator<Row> collected = tEnv.executeSql("SELECT * FROM " + INPUT_TABLE_NAME).collect(); |
| List<String> result = |
| CollectionUtil.iteratorToList(collected).stream() |
| .map(Row::toString) |
| .sorted() |
| .collect(Collectors.toList()); |
| List<String> expected = |
| Stream.of( |
| "+I[1, 1.12345, 2.1234567879, 100.1234, 1.175E-10, 1.79769E40, a, abc, abcdef, 1997-01-01, 2020-01-01T15:35:00.123456, 2020-01-01T15:35:00.123456789, Hello World, [69, 61, 122, 52]]", |
| "+I[2, 1.12345, 2.1234567879, 101.1234, -1.175E-10, -1.79769E40, a, abc, abcdef, 1997-01-02, 2020-01-01T15:36:01.123456, 2020-01-01T15:36:01.123456789, Hey Leonard, [69, 61, 122, 52]]") |
| .sorted() |
| .collect(Collectors.toList()); |
| assertThat(result).isEqualTo(expected); |
| } |
| |
| @Test |
| void testProject() { |
| tEnv.executeSql( |
| INPUT_TABLE.getCreateQueryForFlink( |
| getMetadata(), |
| INPUT_TABLE_NAME, |
| Arrays.asList( |
| "id", |
| "timestamp6_col", |
| "timestamp9_col", |
| "binary_float_col", |
| "binary_double_col", |
| "decimal_col"), |
| Arrays.asList( |
| "'scan.partition.column'='id'", |
| "'scan.partition.num'='2'", |
| "'scan.partition.lower-bound'='0'", |
| "'scan.partition.upper-bound'='100'"))); |
| |
| Iterator<Row> collected = |
| tEnv.executeSql("SELECT id,timestamp6_col,decimal_col FROM " + INPUT_TABLE_NAME) |
| .collect(); |
| List<String> result = |
| CollectionUtil.iteratorToList(collected).stream() |
| .map(Row::toString) |
| .sorted() |
| .collect(Collectors.toList()); |
| List<String> expected = |
| Stream.of( |
| "+I[1, 2020-01-01T15:35:00.123456, 100.1234]", |
| "+I[2, 2020-01-01T15:36:01.123456, 101.1234]") |
| .collect(Collectors.toList()); |
| assertThat(result).containsExactlyInAnyOrderElementsOf(expected); |
| } |
| |
| @Test |
| void testLimit() { |
| tEnv.executeSql( |
| INPUT_TABLE.getCreateQueryForFlink( |
| getMetadata(), |
| INPUT_TABLE_NAME, |
| Arrays.asList( |
| "id", |
| "timestamp6_col", |
| "timestamp9_col", |
| "binary_float_col", |
| "binary_double_col", |
| "decimal_col"), |
| Arrays.asList( |
| "'scan.partition.column'='id'", |
| "'scan.partition.num'='2'", |
| "'scan.partition.lower-bound'='1'", |
| "'scan.partition.upper-bound'='2'"))); |
| |
| Iterator<Row> collected = |
| tEnv.executeSql("SELECT * FROM " + INPUT_TABLE_NAME + " LIMIT 1").collect(); |
| List<String> result = |
| CollectionUtil.iteratorToList(collected).stream() |
| .map(Row::toString) |
| .sorted() |
| .collect(Collectors.toList()); |
| |
| Set<String> expected = new HashSet<>(); |
| expected.add( |
| "+I[1, 2020-01-01T15:35:00.123456, 2020-01-01T15:35:00.123456789, 1.175E-10, 1.79769E40, 100.1234]"); |
| expected.add( |
| "+I[2, 2020-01-01T15:36:01.123456, 2020-01-01T15:36:01.123456789, -1.175E-10, -1.79769E40, 101.1234]"); |
| assertThat(result).hasSize(1); |
| assertThat(expected) |
| .as("The actual output is not a subset of the expected set.") |
| .containsAll(result); |
| } |
| } |
