github-advanced-security[bot] commented on code in PR #16424: URL: https://github.com/apache/druid/pull/16424#discussion_r1599220114
########## integration-tests-ex/cases/src/test/java/org/apache/druid/testsEx/catalog/ITCatalogIngestAndQueryTest.java: ########## @@ -0,0 +1,448 @@ +/* + * 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.druid.testsEx.catalog; + +import com.google.common.collect.ImmutableList; +import com.google.inject.Inject; +import org.apache.druid.catalog.model.Columns; +import org.apache.druid.catalog.model.TableMetadata; +import org.apache.druid.catalog.model.table.ClusterKeySpec; +import org.apache.druid.catalog.model.table.DatasourceDefn; +import org.apache.druid.catalog.model.table.TableBuilder; +import org.apache.druid.java.util.common.StringUtils; +import org.apache.druid.java.util.common.logger.Logger; +import org.apache.druid.msq.sql.SqlTaskStatus; +import org.apache.druid.testing.utils.DataLoaderHelper; +import org.apache.druid.testing.utils.MsqTestQueryHelper; +import org.apache.druid.testsEx.cluster.CatalogClient; +import org.apache.druid.testsEx.cluster.DruidClusterClient; +import org.junit.Assert; +import org.junit.Before; +import org.junit.Test; + +/** + * Tests that expect succesfully ingestng data into catalog defined tables and querying the data + * gives expected results. + */ +public abstract class ITCatalogIngestAndQueryTest +{ + public static final Logger LOG = new Logger(ITCatalogIngestAndQueryTest.class); + + @Inject + private MsqTestQueryHelper msqHelper; + @Inject + private DataLoaderHelper dataLoaderHelper; + @Inject + private DruidClusterClient clusterClient; + private CatalogClient client; + + private final String operationName; + private final String dmlPrefixPattern; + + public ITCatalogIngestAndQueryTest() + { + this.operationName = getOperationName(); + this.dmlPrefixPattern = getDmlPrefixPattern(); + } + + public abstract String getOperationName(); + public abstract String getDmlPrefixPattern(); + + @Before + public void initializeClient() + { + client = new CatalogClient(clusterClient); + } + + /** + * Create table with columns: + * <p> + * __time LONG + * double_col1 DOUBLE + * <p> + * And insert the following data: + * <p> + * __time, varchar_col1, bigint_col1, float_col1, varchar_col2 + * 2022-12-26T12:34:56,extra,10,"20",2.0,foo + * 2022-12-26T12:34:56,extra,9,"30",2.0,foo + * 2022-12-26T12:34:56,extra,8,"40",2.0,foq + * 2022-12-26T12:34:56,extra,8,"50",2.0,fop + * <p> + * When querying the table with query: 'SELECT * from ##tableName', the BIGINT type column should + * be implicitly coherced into type DOUBLE when inserted into the table, since the column being + * written into is type DOUBLE. + * <p> + * __time, bigint_col1 + * 2022-12-26T12:34:56,8.0 + * 2022-12-26T12:34:56,8.0 + * 2022-12-26T12:34:56,9.0 + * 2022-12-26T12:34:56,10.0 + * + */ + @Test + public void testInsertImplicitCast() throws Exception + { + String queryFile = "/catalog/implicitCast_select.sql"; + String tableName = "testImplicitCast" + operationName; + TableMetadata table = TableBuilder.datasource(tableName, "P1D") + .column(Columns.TIME_COLUMN, Columns.LONG) + .column("double_col1", "DOUBLE") + .build(); + + client.createTable(table, true); + LOG.info("table created:\n%s", client.readTable(table.id())); + String queryInline = + StringUtils.format(dmlPrefixPattern, tableName) + "\n" + + "SELECT\n" + + " TIME_PARSE(a) AS __time,\n" + + " c AS double_col1\n" + + "FROM TABLE(\n" + + " EXTERN(\n" + + " '{\"type\":\"inline\",\"data\":\"2022-12-26T12:34:56,extra,10,\\\"20\\\",2.0,foo\\n2022-12-26T12:34:56,extra,9,\\\"30\\\",2.0,foo\\n2022-12-26T12:34:56,extra,8,\\\"40\\\",2.0,foq\\n2022-12-26T12:34:56,extra,8,\\\"50\\\",2.0,fop\"}',\n" + + " '{\"type\":\"csv\",\"findColumnsFromHeader\":false,\"columns\":[\"a\",\"b\",\"c\",\"d\",\"e\",\"f\"]}'\n" + + " )\n" + + ") " + + " EXTEND (a VARCHAR, b VARCHAR, c BIGINT, d VARCHAR, e FLOAT, f VARCHAR)\n"; + + // Submit the task and wait for the datasource to get loaded + LOG.info("Running query:\n%s", queryInline); + SqlTaskStatus sqlTaskStatus = msqHelper.submitMsqTaskSuccesfully(queryInline); + + if (sqlTaskStatus.getState().isFailure()) { + Assert.fail(StringUtils.format( + "Unable to start the task successfully.\nPossible exception: %s", + sqlTaskStatus.getError() + )); + } + + msqHelper.pollTaskIdForSuccess(sqlTaskStatus.getTaskId()); + dataLoaderHelper.waitUntilDatasourceIsReady(tableName); + + msqHelper.testQueriesFromFile(queryFile, tableName); + } + + /** + * Create table with columns: + * <p> + * __time LONG + * double_col1 DOUBLE + * <p> + * and clustering columns defined in catalog as + * <p> + * bigInt_col1 + * <p> + * And insert the following data: + * <p> + * __time, varchar_col1, bigint_col1, float_col1, varchar_col2 + * 2022-12-26T12:34:56,extra,10,"20",2.0,foo + * 2022-12-26T12:34:56,extra,9,"30",2.0,foo + * 2022-12-26T12:34:56,extra,8,"40",2.0,foq + * 2022-12-26T12:34:56,extra,8,"50",2.0,fop + * <p> + * When querying the table with query: 'SELECT * from ##tableName', because of the clustering + * defined on the table, the data should be reordered to: + * <p> + * __time, bigint_col1 + * 2022-12-26T12:34:56,8 + * 2022-12-26T12:34:56,8 + * 2022-12-26T12:34:56,9 + * 2022-12-26T12:34:56,10 + * + */ + @Test + public void testInsertWithClusteringFromCatalog() throws Exception + { + String queryFile = "/catalog/clustering_select.sql"; + String tableName = "testWithClusteringFromCatalog" + operationName; + TableMetadata table = TableBuilder.datasource(tableName, "P1D") + .column(Columns.TIME_COLUMN, Columns.LONG) + .column("bigint_col1", "BIGINT") + .property( + DatasourceDefn.CLUSTER_KEYS_PROPERTY, + ImmutableList.of(new ClusterKeySpec("bigint_col1", false)) + ) + .build(); + + client.createTable(table, true); + LOG.info("table created:\n%s", client.readTable(table.id())); + String queryInline = + StringUtils.format(dmlPrefixPattern, tableName) + "\n" + + "SELECT\n" + + " TIME_PARSE(a) AS __time,\n" + + " c AS bigint_col1\n" + + "FROM TABLE(\n" + + " EXTERN(\n" + + " '{\"type\":\"inline\",\"data\":\"2022-12-26T12:34:56,extra,10,\\\"20\\\",2.0,foo\\n2022-12-26T12:34:56,extra,9,\\\"30\\\",2.0,foo\\n2022-12-26T12:34:56,extra,8,\\\"40\\\",2.0,foq\\n2022-12-26T12:34:56,extra,8,\\\"50\\\",2.0,fop\"}',\n" + + " '{\"type\":\"csv\",\"findColumnsFromHeader\":false,\"columns\":[\"a\",\"b\",\"c\",\"d\",\"e\",\"f\"]}'\n" + + " )\n" + + ") " + + " EXTEND (a VARCHAR, b VARCHAR, c BIGINT, d VARCHAR, e FLOAT, f VARCHAR)\n"; + + // Submit the task and wait for the datasource to get loaded + LOG.info("Running query:\n%s", queryInline); + SqlTaskStatus sqlTaskStatus = msqHelper.submitMsqTaskSuccesfully(queryInline); + + if (sqlTaskStatus.getState().isFailure()) { + Assert.fail(StringUtils.format( + "Unable to start the task successfully.\nPossible exception: %s", + sqlTaskStatus.getError() Review Comment: ## Use of default toString() Default toString(): ErrorResponse inherits toString() from Object, and so is not suitable for printing. [Show more details](https://github.com/apache/druid/security/code-scanning/7369) ########## integration-tests-ex/cases/src/test/java/org/apache/druid/testsEx/catalog/ITCatalogIngestAndQueryTest.java: ########## @@ -0,0 +1,448 @@ +/* + * 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.druid.testsEx.catalog; + +import com.google.common.collect.ImmutableList; +import com.google.inject.Inject; +import org.apache.druid.catalog.model.Columns; +import org.apache.druid.catalog.model.TableMetadata; +import org.apache.druid.catalog.model.table.ClusterKeySpec; +import org.apache.druid.catalog.model.table.DatasourceDefn; +import org.apache.druid.catalog.model.table.TableBuilder; +import org.apache.druid.java.util.common.StringUtils; +import org.apache.druid.java.util.common.logger.Logger; +import org.apache.druid.msq.sql.SqlTaskStatus; +import org.apache.druid.testing.utils.DataLoaderHelper; +import org.apache.druid.testing.utils.MsqTestQueryHelper; +import org.apache.druid.testsEx.cluster.CatalogClient; +import org.apache.druid.testsEx.cluster.DruidClusterClient; +import org.junit.Assert; +import org.junit.Before; +import org.junit.Test; + +/** + * Tests that expect succesfully ingestng data into catalog defined tables and querying the data + * gives expected results. + */ +public abstract class ITCatalogIngestAndQueryTest +{ + public static final Logger LOG = new Logger(ITCatalogIngestAndQueryTest.class); + + @Inject + private MsqTestQueryHelper msqHelper; + @Inject + private DataLoaderHelper dataLoaderHelper; + @Inject + private DruidClusterClient clusterClient; + private CatalogClient client; + + private final String operationName; + private final String dmlPrefixPattern; + + public ITCatalogIngestAndQueryTest() + { + this.operationName = getOperationName(); + this.dmlPrefixPattern = getDmlPrefixPattern(); + } + + public abstract String getOperationName(); + public abstract String getDmlPrefixPattern(); + + @Before + public void initializeClient() + { + client = new CatalogClient(clusterClient); + } + + /** + * Create table with columns: + * <p> + * __time LONG + * double_col1 DOUBLE + * <p> + * And insert the following data: + * <p> + * __time, varchar_col1, bigint_col1, float_col1, varchar_col2 + * 2022-12-26T12:34:56,extra,10,"20",2.0,foo + * 2022-12-26T12:34:56,extra,9,"30",2.0,foo + * 2022-12-26T12:34:56,extra,8,"40",2.0,foq + * 2022-12-26T12:34:56,extra,8,"50",2.0,fop + * <p> + * When querying the table with query: 'SELECT * from ##tableName', the BIGINT type column should + * be implicitly coherced into type DOUBLE when inserted into the table, since the column being + * written into is type DOUBLE. + * <p> + * __time, bigint_col1 + * 2022-12-26T12:34:56,8.0 + * 2022-12-26T12:34:56,8.0 + * 2022-12-26T12:34:56,9.0 + * 2022-12-26T12:34:56,10.0 + * + */ + @Test + public void testInsertImplicitCast() throws Exception + { + String queryFile = "/catalog/implicitCast_select.sql"; + String tableName = "testImplicitCast" + operationName; + TableMetadata table = TableBuilder.datasource(tableName, "P1D") + .column(Columns.TIME_COLUMN, Columns.LONG) + .column("double_col1", "DOUBLE") + .build(); + + client.createTable(table, true); + LOG.info("table created:\n%s", client.readTable(table.id())); + String queryInline = + StringUtils.format(dmlPrefixPattern, tableName) + "\n" + + "SELECT\n" + + " TIME_PARSE(a) AS __time,\n" + + " c AS double_col1\n" + + "FROM TABLE(\n" + + " EXTERN(\n" + + " '{\"type\":\"inline\",\"data\":\"2022-12-26T12:34:56,extra,10,\\\"20\\\",2.0,foo\\n2022-12-26T12:34:56,extra,9,\\\"30\\\",2.0,foo\\n2022-12-26T12:34:56,extra,8,\\\"40\\\",2.0,foq\\n2022-12-26T12:34:56,extra,8,\\\"50\\\",2.0,fop\"}',\n" + + " '{\"type\":\"csv\",\"findColumnsFromHeader\":false,\"columns\":[\"a\",\"b\",\"c\",\"d\",\"e\",\"f\"]}'\n" + + " )\n" + + ") " + + " EXTEND (a VARCHAR, b VARCHAR, c BIGINT, d VARCHAR, e FLOAT, f VARCHAR)\n"; + + // Submit the task and wait for the datasource to get loaded + LOG.info("Running query:\n%s", queryInline); + SqlTaskStatus sqlTaskStatus = msqHelper.submitMsqTaskSuccesfully(queryInline); + + if (sqlTaskStatus.getState().isFailure()) { + Assert.fail(StringUtils.format( + "Unable to start the task successfully.\nPossible exception: %s", + sqlTaskStatus.getError() + )); + } + + msqHelper.pollTaskIdForSuccess(sqlTaskStatus.getTaskId()); + dataLoaderHelper.waitUntilDatasourceIsReady(tableName); + + msqHelper.testQueriesFromFile(queryFile, tableName); + } + + /** + * Create table with columns: + * <p> + * __time LONG + * double_col1 DOUBLE + * <p> + * and clustering columns defined in catalog as + * <p> + * bigInt_col1 + * <p> + * And insert the following data: + * <p> + * __time, varchar_col1, bigint_col1, float_col1, varchar_col2 + * 2022-12-26T12:34:56,extra,10,"20",2.0,foo + * 2022-12-26T12:34:56,extra,9,"30",2.0,foo + * 2022-12-26T12:34:56,extra,8,"40",2.0,foq + * 2022-12-26T12:34:56,extra,8,"50",2.0,fop + * <p> + * When querying the table with query: 'SELECT * from ##tableName', because of the clustering + * defined on the table, the data should be reordered to: + * <p> + * __time, bigint_col1 + * 2022-12-26T12:34:56,8 + * 2022-12-26T12:34:56,8 + * 2022-12-26T12:34:56,9 + * 2022-12-26T12:34:56,10 + * + */ + @Test + public void testInsertWithClusteringFromCatalog() throws Exception + { + String queryFile = "/catalog/clustering_select.sql"; + String tableName = "testWithClusteringFromCatalog" + operationName; + TableMetadata table = TableBuilder.datasource(tableName, "P1D") + .column(Columns.TIME_COLUMN, Columns.LONG) + .column("bigint_col1", "BIGINT") + .property( + DatasourceDefn.CLUSTER_KEYS_PROPERTY, + ImmutableList.of(new ClusterKeySpec("bigint_col1", false)) + ) + .build(); + + client.createTable(table, true); + LOG.info("table created:\n%s", client.readTable(table.id())); + String queryInline = + StringUtils.format(dmlPrefixPattern, tableName) + "\n" + + "SELECT\n" + + " TIME_PARSE(a) AS __time,\n" + + " c AS bigint_col1\n" + + "FROM TABLE(\n" + + " EXTERN(\n" + + " '{\"type\":\"inline\",\"data\":\"2022-12-26T12:34:56,extra,10,\\\"20\\\",2.0,foo\\n2022-12-26T12:34:56,extra,9,\\\"30\\\",2.0,foo\\n2022-12-26T12:34:56,extra,8,\\\"40\\\",2.0,foq\\n2022-12-26T12:34:56,extra,8,\\\"50\\\",2.0,fop\"}',\n" + + " '{\"type\":\"csv\",\"findColumnsFromHeader\":false,\"columns\":[\"a\",\"b\",\"c\",\"d\",\"e\",\"f\"]}'\n" + + " )\n" + + ") " + + " EXTEND (a VARCHAR, b VARCHAR, c BIGINT, d VARCHAR, e FLOAT, f VARCHAR)\n"; + + // Submit the task and wait for the datasource to get loaded + LOG.info("Running query:\n%s", queryInline); + SqlTaskStatus sqlTaskStatus = msqHelper.submitMsqTaskSuccesfully(queryInline); + + if (sqlTaskStatus.getState().isFailure()) { + Assert.fail(StringUtils.format( + "Unable to start the task successfully.\nPossible exception: %s", + sqlTaskStatus.getError() + )); + } + + msqHelper.pollTaskIdForSuccess(sqlTaskStatus.getTaskId()); + dataLoaderHelper.waitUntilDatasourceIsReady(tableName); + + msqHelper.testQueriesFromFile(queryFile, tableName); + } + + /** + * Create table with columns: + * <p> + * __time LONG + * double_col1 DOUBLE + * <p> + * and clustering columns defined in query as + * <p> + * bigInt_col1 + * <p> + * And insert the following data: + * <p> + * __time, varchar_col1, bigint_col1, float_col1, varchar_col2 + * 2022-12-26T12:34:56,extra,10,"20",2.0,foo + * 2022-12-26T12:34:56,extra,9,"30",2.0,foo + * 2022-12-26T12:34:56,extra,8,"40",2.0,foq + * 2022-12-26T12:34:56,extra,8,"50",2.0,fop + * <p> + * When querying the table with query: 'SELECT * from ##tableName', because of the clustering + * defined on the table, the data should be reordered to: + * <p> + * __time, bigint_col1 + * 2022-12-26T12:34:56,8 + * 2022-12-26T12:34:56,8 + * 2022-12-26T12:34:56,9 + * 2022-12-26T12:34:56,10 + * + */ + @Test + public void testInsertWithClusteringFromQuery() throws Exception + { + String queryFile = "/catalog/clustering_select.sql"; + String tableName = "testWithClusteringFromQuery" + operationName; + TableMetadata table = TableBuilder.datasource(tableName, "P1D") + .column(Columns.TIME_COLUMN, Columns.LONG) + .column("bigint_col1", "BIGINT") + .build(); + + client.createTable(table, true); + LOG.info("table created:\n%s", client.readTable(table.id())); + String queryInline = + StringUtils.format(dmlPrefixPattern, tableName) + "\n" + + "SELECT\n" + + " TIME_PARSE(a) AS __time,\n" + + " c AS bigint_col1\n" + + "FROM TABLE(\n" + + " EXTERN(\n" + + " '{\"type\":\"inline\",\"data\":\"2022-12-26T12:34:56,extra,10,\\\"20\\\",2.0,foo\\n2022-12-26T12:34:56,extra,9,\\\"30\\\",2.0,foo\\n2022-12-26T12:34:56,extra,8,\\\"40\\\",2.0,foq\\n2022-12-26T12:34:56,extra,8,\\\"50\\\",2.0,fop\"}',\n" + + " '{\"type\":\"csv\",\"findColumnsFromHeader\":false,\"columns\":[\"a\",\"b\",\"c\",\"d\",\"e\",\"f\"]}'\n" + + " )\n" + + ") " + + " EXTEND (a VARCHAR, b VARCHAR, c BIGINT, d VARCHAR, e FLOAT, f VARCHAR)\n" + + "CLUSTERED BY \"bigint_col1\"\n"; + + // Submit the task and wait for the datasource to get loaded + LOG.info("Running query:\n%s", queryInline); + SqlTaskStatus sqlTaskStatus = msqHelper.submitMsqTaskSuccesfully(queryInline); + + if (sqlTaskStatus.getState().isFailure()) { + Assert.fail(StringUtils.format( + "Unable to start the task successfully.\nPossible exception: %s", + sqlTaskStatus.getError() Review Comment: ## Use of default toString() Default toString(): ErrorResponse inherits toString() from Object, and so is not suitable for printing. [Show more details](https://github.com/apache/druid/security/code-scanning/7370) ########## integration-tests-ex/cases/src/test/java/org/apache/druid/testsEx/catalog/ITCatalogIngestAndQueryTest.java: ########## @@ -0,0 +1,448 @@ +/* + * 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.druid.testsEx.catalog; + +import com.google.common.collect.ImmutableList; +import com.google.inject.Inject; +import org.apache.druid.catalog.model.Columns; +import org.apache.druid.catalog.model.TableMetadata; +import org.apache.druid.catalog.model.table.ClusterKeySpec; +import org.apache.druid.catalog.model.table.DatasourceDefn; +import org.apache.druid.catalog.model.table.TableBuilder; +import org.apache.druid.java.util.common.StringUtils; +import org.apache.druid.java.util.common.logger.Logger; +import org.apache.druid.msq.sql.SqlTaskStatus; +import org.apache.druid.testing.utils.DataLoaderHelper; +import org.apache.druid.testing.utils.MsqTestQueryHelper; +import org.apache.druid.testsEx.cluster.CatalogClient; +import org.apache.druid.testsEx.cluster.DruidClusterClient; +import org.junit.Assert; +import org.junit.Before; +import org.junit.Test; + +/** + * Tests that expect succesfully ingestng data into catalog defined tables and querying the data + * gives expected results. + */ +public abstract class ITCatalogIngestAndQueryTest +{ + public static final Logger LOG = new Logger(ITCatalogIngestAndQueryTest.class); + + @Inject + private MsqTestQueryHelper msqHelper; + @Inject + private DataLoaderHelper dataLoaderHelper; + @Inject + private DruidClusterClient clusterClient; + private CatalogClient client; + + private final String operationName; + private final String dmlPrefixPattern; + + public ITCatalogIngestAndQueryTest() + { + this.operationName = getOperationName(); + this.dmlPrefixPattern = getDmlPrefixPattern(); + } + + public abstract String getOperationName(); + public abstract String getDmlPrefixPattern(); + + @Before + public void initializeClient() + { + client = new CatalogClient(clusterClient); + } + + /** + * Create table with columns: + * <p> + * __time LONG + * double_col1 DOUBLE + * <p> + * And insert the following data: + * <p> + * __time, varchar_col1, bigint_col1, float_col1, varchar_col2 + * 2022-12-26T12:34:56,extra,10,"20",2.0,foo + * 2022-12-26T12:34:56,extra,9,"30",2.0,foo + * 2022-12-26T12:34:56,extra,8,"40",2.0,foq + * 2022-12-26T12:34:56,extra,8,"50",2.0,fop + * <p> + * When querying the table with query: 'SELECT * from ##tableName', the BIGINT type column should + * be implicitly coherced into type DOUBLE when inserted into the table, since the column being + * written into is type DOUBLE. + * <p> + * __time, bigint_col1 + * 2022-12-26T12:34:56,8.0 + * 2022-12-26T12:34:56,8.0 + * 2022-12-26T12:34:56,9.0 + * 2022-12-26T12:34:56,10.0 + * + */ + @Test + public void testInsertImplicitCast() throws Exception + { + String queryFile = "/catalog/implicitCast_select.sql"; + String tableName = "testImplicitCast" + operationName; + TableMetadata table = TableBuilder.datasource(tableName, "P1D") + .column(Columns.TIME_COLUMN, Columns.LONG) + .column("double_col1", "DOUBLE") + .build(); + + client.createTable(table, true); + LOG.info("table created:\n%s", client.readTable(table.id())); + String queryInline = + StringUtils.format(dmlPrefixPattern, tableName) + "\n" + + "SELECT\n" + + " TIME_PARSE(a) AS __time,\n" + + " c AS double_col1\n" + + "FROM TABLE(\n" + + " EXTERN(\n" + + " '{\"type\":\"inline\",\"data\":\"2022-12-26T12:34:56,extra,10,\\\"20\\\",2.0,foo\\n2022-12-26T12:34:56,extra,9,\\\"30\\\",2.0,foo\\n2022-12-26T12:34:56,extra,8,\\\"40\\\",2.0,foq\\n2022-12-26T12:34:56,extra,8,\\\"50\\\",2.0,fop\"}',\n" + + " '{\"type\":\"csv\",\"findColumnsFromHeader\":false,\"columns\":[\"a\",\"b\",\"c\",\"d\",\"e\",\"f\"]}'\n" + + " )\n" + + ") " + + " EXTEND (a VARCHAR, b VARCHAR, c BIGINT, d VARCHAR, e FLOAT, f VARCHAR)\n"; + + // Submit the task and wait for the datasource to get loaded + LOG.info("Running query:\n%s", queryInline); + SqlTaskStatus sqlTaskStatus = msqHelper.submitMsqTaskSuccesfully(queryInline); + + if (sqlTaskStatus.getState().isFailure()) { + Assert.fail(StringUtils.format( + "Unable to start the task successfully.\nPossible exception: %s", + sqlTaskStatus.getError() + )); + } + + msqHelper.pollTaskIdForSuccess(sqlTaskStatus.getTaskId()); + dataLoaderHelper.waitUntilDatasourceIsReady(tableName); + + msqHelper.testQueriesFromFile(queryFile, tableName); + } + + /** + * Create table with columns: + * <p> + * __time LONG + * double_col1 DOUBLE + * <p> + * and clustering columns defined in catalog as + * <p> + * bigInt_col1 + * <p> + * And insert the following data: + * <p> + * __time, varchar_col1, bigint_col1, float_col1, varchar_col2 + * 2022-12-26T12:34:56,extra,10,"20",2.0,foo + * 2022-12-26T12:34:56,extra,9,"30",2.0,foo + * 2022-12-26T12:34:56,extra,8,"40",2.0,foq + * 2022-12-26T12:34:56,extra,8,"50",2.0,fop + * <p> + * When querying the table with query: 'SELECT * from ##tableName', because of the clustering + * defined on the table, the data should be reordered to: + * <p> + * __time, bigint_col1 + * 2022-12-26T12:34:56,8 + * 2022-12-26T12:34:56,8 + * 2022-12-26T12:34:56,9 + * 2022-12-26T12:34:56,10 + * + */ + @Test + public void testInsertWithClusteringFromCatalog() throws Exception + { + String queryFile = "/catalog/clustering_select.sql"; + String tableName = "testWithClusteringFromCatalog" + operationName; + TableMetadata table = TableBuilder.datasource(tableName, "P1D") + .column(Columns.TIME_COLUMN, Columns.LONG) + .column("bigint_col1", "BIGINT") + .property( + DatasourceDefn.CLUSTER_KEYS_PROPERTY, + ImmutableList.of(new ClusterKeySpec("bigint_col1", false)) + ) + .build(); + + client.createTable(table, true); + LOG.info("table created:\n%s", client.readTable(table.id())); + String queryInline = + StringUtils.format(dmlPrefixPattern, tableName) + "\n" + + "SELECT\n" + + " TIME_PARSE(a) AS __time,\n" + + " c AS bigint_col1\n" + + "FROM TABLE(\n" + + " EXTERN(\n" + + " '{\"type\":\"inline\",\"data\":\"2022-12-26T12:34:56,extra,10,\\\"20\\\",2.0,foo\\n2022-12-26T12:34:56,extra,9,\\\"30\\\",2.0,foo\\n2022-12-26T12:34:56,extra,8,\\\"40\\\",2.0,foq\\n2022-12-26T12:34:56,extra,8,\\\"50\\\",2.0,fop\"}',\n" + + " '{\"type\":\"csv\",\"findColumnsFromHeader\":false,\"columns\":[\"a\",\"b\",\"c\",\"d\",\"e\",\"f\"]}'\n" + + " )\n" + + ") " + + " EXTEND (a VARCHAR, b VARCHAR, c BIGINT, d VARCHAR, e FLOAT, f VARCHAR)\n"; + + // Submit the task and wait for the datasource to get loaded + LOG.info("Running query:\n%s", queryInline); + SqlTaskStatus sqlTaskStatus = msqHelper.submitMsqTaskSuccesfully(queryInline); + + if (sqlTaskStatus.getState().isFailure()) { + Assert.fail(StringUtils.format( + "Unable to start the task successfully.\nPossible exception: %s", + sqlTaskStatus.getError() + )); + } + + msqHelper.pollTaskIdForSuccess(sqlTaskStatus.getTaskId()); + dataLoaderHelper.waitUntilDatasourceIsReady(tableName); + + msqHelper.testQueriesFromFile(queryFile, tableName); + } + + /** + * Create table with columns: + * <p> + * __time LONG + * double_col1 DOUBLE + * <p> + * and clustering columns defined in query as + * <p> + * bigInt_col1 + * <p> + * And insert the following data: + * <p> + * __time, varchar_col1, bigint_col1, float_col1, varchar_col2 + * 2022-12-26T12:34:56,extra,10,"20",2.0,foo + * 2022-12-26T12:34:56,extra,9,"30",2.0,foo + * 2022-12-26T12:34:56,extra,8,"40",2.0,foq + * 2022-12-26T12:34:56,extra,8,"50",2.0,fop + * <p> + * When querying the table with query: 'SELECT * from ##tableName', because of the clustering + * defined on the table, the data should be reordered to: + * <p> + * __time, bigint_col1 + * 2022-12-26T12:34:56,8 + * 2022-12-26T12:34:56,8 + * 2022-12-26T12:34:56,9 + * 2022-12-26T12:34:56,10 + * + */ + @Test + public void testInsertWithClusteringFromQuery() throws Exception + { + String queryFile = "/catalog/clustering_select.sql"; + String tableName = "testWithClusteringFromQuery" + operationName; + TableMetadata table = TableBuilder.datasource(tableName, "P1D") + .column(Columns.TIME_COLUMN, Columns.LONG) + .column("bigint_col1", "BIGINT") + .build(); + + client.createTable(table, true); + LOG.info("table created:\n%s", client.readTable(table.id())); + String queryInline = + StringUtils.format(dmlPrefixPattern, tableName) + "\n" + + "SELECT\n" + + " TIME_PARSE(a) AS __time,\n" + + " c AS bigint_col1\n" + + "FROM TABLE(\n" + + " EXTERN(\n" + + " '{\"type\":\"inline\",\"data\":\"2022-12-26T12:34:56,extra,10,\\\"20\\\",2.0,foo\\n2022-12-26T12:34:56,extra,9,\\\"30\\\",2.0,foo\\n2022-12-26T12:34:56,extra,8,\\\"40\\\",2.0,foq\\n2022-12-26T12:34:56,extra,8,\\\"50\\\",2.0,fop\"}',\n" + + " '{\"type\":\"csv\",\"findColumnsFromHeader\":false,\"columns\":[\"a\",\"b\",\"c\",\"d\",\"e\",\"f\"]}'\n" + + " )\n" + + ") " + + " EXTEND (a VARCHAR, b VARCHAR, c BIGINT, d VARCHAR, e FLOAT, f VARCHAR)\n" + + "CLUSTERED BY \"bigint_col1\"\n"; + + // Submit the task and wait for the datasource to get loaded + LOG.info("Running query:\n%s", queryInline); + SqlTaskStatus sqlTaskStatus = msqHelper.submitMsqTaskSuccesfully(queryInline); + + if (sqlTaskStatus.getState().isFailure()) { + Assert.fail(StringUtils.format( + "Unable to start the task successfully.\nPossible exception: %s", + sqlTaskStatus.getError() + )); + } + + msqHelper.pollTaskIdForSuccess(sqlTaskStatus.getTaskId()); + dataLoaderHelper.waitUntilDatasourceIsReady(tableName); + + msqHelper.testQueriesFromFile(queryFile, tableName); + } + + /** + * Create table with columns: + * <p> + * __time LONG + * varchar_col1 VARCHAR + * bigint_col1 BIGINT + * float_col1 FLOAT + * varchar_col2 VARCHAR + * <p> + * and multiple clustering columns defined in catalog as + * <p> + * bigInt_col1, varchar_col2 + * <p> + * And insert the following data: + * <p> + * __time, varchar_col1, bigint_col1, float_col1, varchar_col2 + * 2022-12-26T12:34:56,extra,10,"20",2.0,foo + * 2022-12-26T12:34:56,extra,9,"30",2.0,foo + * 2022-12-26T12:34:56,extra,8,"40",2.0,foq + * 2022-12-26T12:34:56,extra,8,"50",2.0,fop + * <p> + * When querying the table with query: 'SELECT * from ##tableName', because of the clustering + * defined on the table, the data should be reordered to: + * <p> + * __time, varchar_col1, bigint_col1, float_col1, varchar_col2 + * 2022-12-26T12:34:56,extra,8,"50",2.0,fop + * 2022-12-26T12:34:56,extra,8,"40",2.0,foq + * 2022-12-26T12:34:56,extra,9,"30",2.0,foo + * 2022-12-26T12:34:56,extra,10,"20",2.0,foo + * + */ + @Test + public void testInsertWithMultiClusteringFromCatalog() throws Exception + { + String queryFile = "/catalog/multiClustering_select.sql"; + String tableName = "testWithMultiClusteringFromCatalog" + operationName; + TableMetadata table = TableBuilder.datasource(tableName, "P1D") + .column(Columns.TIME_COLUMN, Columns.LONG) + .column("varchar_col1", "VARCHAR") + .column("bigint_col1", "BIGINT") + .column("float_col1", "FLOAT") + .column("varchar_col2", "VARCHAR") + .property( + DatasourceDefn.CLUSTER_KEYS_PROPERTY, + ImmutableList.of(new ClusterKeySpec("bigint_col1", false), new ClusterKeySpec("varchar_col2", false)) + ) + .build(); + + client.createTable(table, true); + LOG.info("table created:\n%s", client.readTable(table.id())); + String queryInline = + StringUtils.format(dmlPrefixPattern, tableName) + "\n" + + "SELECT\n" + + " TIME_PARSE(a) AS __time,\n" + + " b AS varchar_col1,\n" + + " c AS bigint_col1,\n" + + " e AS float_col1,\n" + + " f AS varchar_col2\n" + + "FROM TABLE(\n" + + " EXTERN(\n" + + " '{\"type\":\"inline\",\"data\":\"2022-12-26T12:34:56,extra,10,\\\"20\\\",2.0,foo\\n2022-12-26T12:34:56,extra,9,\\\"30\\\",2.0,foo\\n2022-12-26T12:34:56,extra,8,\\\"40\\\",2.0,foq\\n2022-12-26T12:34:56,extra,8,\\\"50\\\",2.0,fop\"}',\n" + + " '{\"type\":\"csv\",\"findColumnsFromHeader\":false,\"columns\":[\"a\",\"b\",\"c\",\"d\",\"e\",\"f\"]}'\n" + + " )\n" + + ") " + + " EXTEND (a VARCHAR, b VARCHAR, c BIGINT, d VARCHAR, e FLOAT, f VARCHAR)\n"; + + // Submit the task and wait for the datasource to get loaded + LOG.info("Running query:\n%s", queryInline); + SqlTaskStatus sqlTaskStatus = msqHelper.submitMsqTaskSuccesfully(queryInline); + + if (sqlTaskStatus.getState().isFailure()) { + Assert.fail(StringUtils.format( + "Unable to start the task successfully.\nPossible exception: %s", + sqlTaskStatus.getError() + )); + } + + msqHelper.pollTaskIdForSuccess(sqlTaskStatus.getTaskId()); + dataLoaderHelper.waitUntilDatasourceIsReady(tableName); + + msqHelper.testQueriesFromFile(queryFile, tableName); + } + + /** + * Create table with columns: + * <p> + * __time LONG + * varchar_col1 VARCHAR + * bigint_col1 BIGINT + * float_col1 FLOAT + * varchar_col2 VARCHAR + * <p> + * and multiple clustering columns defined in query as + * <p> + * bigInt_col1, varchar_col2 + * <p> + * And insert the following data: + * <p> + * __time, varchar_col1, bigint_col1, float_col1, varchar_col2 + * 2022-12-26T12:34:56,extra,10,"20",2.0,foo + * 2022-12-26T12:34:56,extra,9,"30",2.0,foo + * 2022-12-26T12:34:56,extra,8,"40",2.0,foq + * 2022-12-26T12:34:56,extra,8,"50",2.0,fop + * <p> + * When querying the table with query: 'SELECT * from ##tableName', because of the clustering + * defined on the query, the data should be reordered to: + * <p> + * __time, varchar_col1, bigint_col1, float_col1, varchar_col2 + * 2022-12-26T12:34:56,extra,8,"50",2.0,fop + * 2022-12-26T12:34:56,extra,8,"40",2.0,foq + * 2022-12-26T12:34:56,extra,9,"30",2.0,foo + * 2022-12-26T12:34:56,extra,10,"20",2.0,foo + * + */ + @Test + public void testInsertWithMultiClusteringFromQuery() throws Exception + { + String queryFile = "/catalog/multiClustering_select.sql"; + String tableName = "testWithMultiClusteringFromQuery" + operationName; + TableMetadata table = TableBuilder.datasource(tableName, "P1D") + .column(Columns.TIME_COLUMN, Columns.LONG) + .column("varchar_col1", "VARCHAR") + .column("bigint_col1", "BIGINT") + .column("float_col1", "FLOAT") + .column("varchar_col2", "VARCHAR") + .build(); + + client.createTable(table, true); + LOG.info("table created:\n%s", client.readTable(table.id())); + String queryInline = + StringUtils.format(dmlPrefixPattern, tableName) + "\n" + + "SELECT\n" + + " TIME_PARSE(a) AS __time,\n" + + " b AS varchar_col1,\n" + + " c AS bigint_col1,\n" + + " e AS float_col1,\n" + + " f AS varchar_col2\n" + + "FROM TABLE(\n" + + " EXTERN(\n" + + " '{\"type\":\"inline\",\"data\":\"2022-12-26T12:34:56,extra,10,\\\"20\\\",2.0,foo\\n2022-12-26T12:34:56,extra,9,\\\"30\\\",2.0,foo\\n2022-12-26T12:34:56,extra,8,\\\"40\\\",2.0,foq\\n2022-12-26T12:34:56,extra,8,\\\"50\\\",2.0,fop\"}',\n" + + " '{\"type\":\"csv\",\"findColumnsFromHeader\":false,\"columns\":[\"a\",\"b\",\"c\",\"d\",\"e\",\"f\"]}'\n" + + " )\n" + + ") " + + " EXTEND (a VARCHAR, b VARCHAR, c BIGINT, d VARCHAR, e FLOAT, f VARCHAR)\n" + + "CLUSTERED BY \"bigint_col1\", \"varchar_col2\"\n"; + + // Submit the task and wait for the datasource to get loaded + LOG.info("Running query:\n%s", queryInline); + SqlTaskStatus sqlTaskStatus = msqHelper.submitMsqTaskSuccesfully(queryInline); + + if (sqlTaskStatus.getState().isFailure()) { + Assert.fail(StringUtils.format( + "Unable to start the task successfully.\nPossible exception: %s", + sqlTaskStatus.getError() Review Comment: ## Use of default toString() Default toString(): ErrorResponse inherits toString() from Object, and so is not suitable for printing. [Show more details](https://github.com/apache/druid/security/code-scanning/7372) ########## integration-tests-ex/cases/src/test/java/org/apache/druid/testsEx/catalog/ITCatalogIngestAndQueryTest.java: ########## @@ -0,0 +1,448 @@ +/* + * 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.druid.testsEx.catalog; + +import com.google.common.collect.ImmutableList; +import com.google.inject.Inject; +import org.apache.druid.catalog.model.Columns; +import org.apache.druid.catalog.model.TableMetadata; +import org.apache.druid.catalog.model.table.ClusterKeySpec; +import org.apache.druid.catalog.model.table.DatasourceDefn; +import org.apache.druid.catalog.model.table.TableBuilder; +import org.apache.druid.java.util.common.StringUtils; +import org.apache.druid.java.util.common.logger.Logger; +import org.apache.druid.msq.sql.SqlTaskStatus; +import org.apache.druid.testing.utils.DataLoaderHelper; +import org.apache.druid.testing.utils.MsqTestQueryHelper; +import org.apache.druid.testsEx.cluster.CatalogClient; +import org.apache.druid.testsEx.cluster.DruidClusterClient; +import org.junit.Assert; +import org.junit.Before; +import org.junit.Test; + +/** + * Tests that expect succesfully ingestng data into catalog defined tables and querying the data + * gives expected results. + */ +public abstract class ITCatalogIngestAndQueryTest +{ + public static final Logger LOG = new Logger(ITCatalogIngestAndQueryTest.class); + + @Inject + private MsqTestQueryHelper msqHelper; + @Inject + private DataLoaderHelper dataLoaderHelper; + @Inject + private DruidClusterClient clusterClient; + private CatalogClient client; + + private final String operationName; + private final String dmlPrefixPattern; + + public ITCatalogIngestAndQueryTest() + { + this.operationName = getOperationName(); + this.dmlPrefixPattern = getDmlPrefixPattern(); + } + + public abstract String getOperationName(); + public abstract String getDmlPrefixPattern(); + + @Before + public void initializeClient() + { + client = new CatalogClient(clusterClient); + } + + /** + * Create table with columns: + * <p> + * __time LONG + * double_col1 DOUBLE + * <p> + * And insert the following data: + * <p> + * __time, varchar_col1, bigint_col1, float_col1, varchar_col2 + * 2022-12-26T12:34:56,extra,10,"20",2.0,foo + * 2022-12-26T12:34:56,extra,9,"30",2.0,foo + * 2022-12-26T12:34:56,extra,8,"40",2.0,foq + * 2022-12-26T12:34:56,extra,8,"50",2.0,fop + * <p> + * When querying the table with query: 'SELECT * from ##tableName', the BIGINT type column should + * be implicitly coherced into type DOUBLE when inserted into the table, since the column being + * written into is type DOUBLE. + * <p> + * __time, bigint_col1 + * 2022-12-26T12:34:56,8.0 + * 2022-12-26T12:34:56,8.0 + * 2022-12-26T12:34:56,9.0 + * 2022-12-26T12:34:56,10.0 + * + */ + @Test + public void testInsertImplicitCast() throws Exception + { + String queryFile = "/catalog/implicitCast_select.sql"; + String tableName = "testImplicitCast" + operationName; + TableMetadata table = TableBuilder.datasource(tableName, "P1D") + .column(Columns.TIME_COLUMN, Columns.LONG) + .column("double_col1", "DOUBLE") + .build(); + + client.createTable(table, true); + LOG.info("table created:\n%s", client.readTable(table.id())); + String queryInline = + StringUtils.format(dmlPrefixPattern, tableName) + "\n" + + "SELECT\n" + + " TIME_PARSE(a) AS __time,\n" + + " c AS double_col1\n" + + "FROM TABLE(\n" + + " EXTERN(\n" + + " '{\"type\":\"inline\",\"data\":\"2022-12-26T12:34:56,extra,10,\\\"20\\\",2.0,foo\\n2022-12-26T12:34:56,extra,9,\\\"30\\\",2.0,foo\\n2022-12-26T12:34:56,extra,8,\\\"40\\\",2.0,foq\\n2022-12-26T12:34:56,extra,8,\\\"50\\\",2.0,fop\"}',\n" + + " '{\"type\":\"csv\",\"findColumnsFromHeader\":false,\"columns\":[\"a\",\"b\",\"c\",\"d\",\"e\",\"f\"]}'\n" + + " )\n" + + ") " + + " EXTEND (a VARCHAR, b VARCHAR, c BIGINT, d VARCHAR, e FLOAT, f VARCHAR)\n"; + + // Submit the task and wait for the datasource to get loaded + LOG.info("Running query:\n%s", queryInline); + SqlTaskStatus sqlTaskStatus = msqHelper.submitMsqTaskSuccesfully(queryInline); + + if (sqlTaskStatus.getState().isFailure()) { + Assert.fail(StringUtils.format( + "Unable to start the task successfully.\nPossible exception: %s", + sqlTaskStatus.getError() Review Comment: ## Use of default toString() Default toString(): ErrorResponse inherits toString() from Object, and so is not suitable for printing. [Show more details](https://github.com/apache/druid/security/code-scanning/7368) ########## integration-tests-ex/cases/src/test/java/org/apache/druid/testsEx/catalog/ITCatalogIngestAndQueryTest.java: ########## @@ -0,0 +1,448 @@ +/* + * 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.druid.testsEx.catalog; + +import com.google.common.collect.ImmutableList; +import com.google.inject.Inject; +import org.apache.druid.catalog.model.Columns; +import org.apache.druid.catalog.model.TableMetadata; +import org.apache.druid.catalog.model.table.ClusterKeySpec; +import org.apache.druid.catalog.model.table.DatasourceDefn; +import org.apache.druid.catalog.model.table.TableBuilder; +import org.apache.druid.java.util.common.StringUtils; +import org.apache.druid.java.util.common.logger.Logger; +import org.apache.druid.msq.sql.SqlTaskStatus; +import org.apache.druid.testing.utils.DataLoaderHelper; +import org.apache.druid.testing.utils.MsqTestQueryHelper; +import org.apache.druid.testsEx.cluster.CatalogClient; +import org.apache.druid.testsEx.cluster.DruidClusterClient; +import org.junit.Assert; +import org.junit.Before; +import org.junit.Test; + +/** + * Tests that expect succesfully ingestng data into catalog defined tables and querying the data + * gives expected results. + */ +public abstract class ITCatalogIngestAndQueryTest +{ + public static final Logger LOG = new Logger(ITCatalogIngestAndQueryTest.class); + + @Inject + private MsqTestQueryHelper msqHelper; + @Inject + private DataLoaderHelper dataLoaderHelper; + @Inject + private DruidClusterClient clusterClient; + private CatalogClient client; + + private final String operationName; + private final String dmlPrefixPattern; + + public ITCatalogIngestAndQueryTest() + { + this.operationName = getOperationName(); + this.dmlPrefixPattern = getDmlPrefixPattern(); + } + + public abstract String getOperationName(); + public abstract String getDmlPrefixPattern(); + + @Before + public void initializeClient() + { + client = new CatalogClient(clusterClient); + } + + /** + * Create table with columns: + * <p> + * __time LONG + * double_col1 DOUBLE + * <p> + * And insert the following data: + * <p> + * __time, varchar_col1, bigint_col1, float_col1, varchar_col2 + * 2022-12-26T12:34:56,extra,10,"20",2.0,foo + * 2022-12-26T12:34:56,extra,9,"30",2.0,foo + * 2022-12-26T12:34:56,extra,8,"40",2.0,foq + * 2022-12-26T12:34:56,extra,8,"50",2.0,fop + * <p> + * When querying the table with query: 'SELECT * from ##tableName', the BIGINT type column should + * be implicitly coherced into type DOUBLE when inserted into the table, since the column being + * written into is type DOUBLE. + * <p> + * __time, bigint_col1 + * 2022-12-26T12:34:56,8.0 + * 2022-12-26T12:34:56,8.0 + * 2022-12-26T12:34:56,9.0 + * 2022-12-26T12:34:56,10.0 + * + */ + @Test + public void testInsertImplicitCast() throws Exception + { + String queryFile = "/catalog/implicitCast_select.sql"; + String tableName = "testImplicitCast" + operationName; + TableMetadata table = TableBuilder.datasource(tableName, "P1D") + .column(Columns.TIME_COLUMN, Columns.LONG) + .column("double_col1", "DOUBLE") + .build(); + + client.createTable(table, true); + LOG.info("table created:\n%s", client.readTable(table.id())); + String queryInline = + StringUtils.format(dmlPrefixPattern, tableName) + "\n" + + "SELECT\n" + + " TIME_PARSE(a) AS __time,\n" + + " c AS double_col1\n" + + "FROM TABLE(\n" + + " EXTERN(\n" + + " '{\"type\":\"inline\",\"data\":\"2022-12-26T12:34:56,extra,10,\\\"20\\\",2.0,foo\\n2022-12-26T12:34:56,extra,9,\\\"30\\\",2.0,foo\\n2022-12-26T12:34:56,extra,8,\\\"40\\\",2.0,foq\\n2022-12-26T12:34:56,extra,8,\\\"50\\\",2.0,fop\"}',\n" + + " '{\"type\":\"csv\",\"findColumnsFromHeader\":false,\"columns\":[\"a\",\"b\",\"c\",\"d\",\"e\",\"f\"]}'\n" + + " )\n" + + ") " + + " EXTEND (a VARCHAR, b VARCHAR, c BIGINT, d VARCHAR, e FLOAT, f VARCHAR)\n"; + + // Submit the task and wait for the datasource to get loaded + LOG.info("Running query:\n%s", queryInline); + SqlTaskStatus sqlTaskStatus = msqHelper.submitMsqTaskSuccesfully(queryInline); + + if (sqlTaskStatus.getState().isFailure()) { + Assert.fail(StringUtils.format( + "Unable to start the task successfully.\nPossible exception: %s", + sqlTaskStatus.getError() + )); + } + + msqHelper.pollTaskIdForSuccess(sqlTaskStatus.getTaskId()); + dataLoaderHelper.waitUntilDatasourceIsReady(tableName); + + msqHelper.testQueriesFromFile(queryFile, tableName); + } + + /** + * Create table with columns: + * <p> + * __time LONG + * double_col1 DOUBLE + * <p> + * and clustering columns defined in catalog as + * <p> + * bigInt_col1 + * <p> + * And insert the following data: + * <p> + * __time, varchar_col1, bigint_col1, float_col1, varchar_col2 + * 2022-12-26T12:34:56,extra,10,"20",2.0,foo + * 2022-12-26T12:34:56,extra,9,"30",2.0,foo + * 2022-12-26T12:34:56,extra,8,"40",2.0,foq + * 2022-12-26T12:34:56,extra,8,"50",2.0,fop + * <p> + * When querying the table with query: 'SELECT * from ##tableName', because of the clustering + * defined on the table, the data should be reordered to: + * <p> + * __time, bigint_col1 + * 2022-12-26T12:34:56,8 + * 2022-12-26T12:34:56,8 + * 2022-12-26T12:34:56,9 + * 2022-12-26T12:34:56,10 + * + */ + @Test + public void testInsertWithClusteringFromCatalog() throws Exception + { + String queryFile = "/catalog/clustering_select.sql"; + String tableName = "testWithClusteringFromCatalog" + operationName; + TableMetadata table = TableBuilder.datasource(tableName, "P1D") + .column(Columns.TIME_COLUMN, Columns.LONG) + .column("bigint_col1", "BIGINT") + .property( + DatasourceDefn.CLUSTER_KEYS_PROPERTY, + ImmutableList.of(new ClusterKeySpec("bigint_col1", false)) + ) + .build(); + + client.createTable(table, true); + LOG.info("table created:\n%s", client.readTable(table.id())); + String queryInline = + StringUtils.format(dmlPrefixPattern, tableName) + "\n" + + "SELECT\n" + + " TIME_PARSE(a) AS __time,\n" + + " c AS bigint_col1\n" + + "FROM TABLE(\n" + + " EXTERN(\n" + + " '{\"type\":\"inline\",\"data\":\"2022-12-26T12:34:56,extra,10,\\\"20\\\",2.0,foo\\n2022-12-26T12:34:56,extra,9,\\\"30\\\",2.0,foo\\n2022-12-26T12:34:56,extra,8,\\\"40\\\",2.0,foq\\n2022-12-26T12:34:56,extra,8,\\\"50\\\",2.0,fop\"}',\n" + + " '{\"type\":\"csv\",\"findColumnsFromHeader\":false,\"columns\":[\"a\",\"b\",\"c\",\"d\",\"e\",\"f\"]}'\n" + + " )\n" + + ") " + + " EXTEND (a VARCHAR, b VARCHAR, c BIGINT, d VARCHAR, e FLOAT, f VARCHAR)\n"; + + // Submit the task and wait for the datasource to get loaded + LOG.info("Running query:\n%s", queryInline); + SqlTaskStatus sqlTaskStatus = msqHelper.submitMsqTaskSuccesfully(queryInline); + + if (sqlTaskStatus.getState().isFailure()) { + Assert.fail(StringUtils.format( + "Unable to start the task successfully.\nPossible exception: %s", + sqlTaskStatus.getError() + )); + } + + msqHelper.pollTaskIdForSuccess(sqlTaskStatus.getTaskId()); + dataLoaderHelper.waitUntilDatasourceIsReady(tableName); + + msqHelper.testQueriesFromFile(queryFile, tableName); + } + + /** + * Create table with columns: + * <p> + * __time LONG + * double_col1 DOUBLE + * <p> + * and clustering columns defined in query as + * <p> + * bigInt_col1 + * <p> + * And insert the following data: + * <p> + * __time, varchar_col1, bigint_col1, float_col1, varchar_col2 + * 2022-12-26T12:34:56,extra,10,"20",2.0,foo + * 2022-12-26T12:34:56,extra,9,"30",2.0,foo + * 2022-12-26T12:34:56,extra,8,"40",2.0,foq + * 2022-12-26T12:34:56,extra,8,"50",2.0,fop + * <p> + * When querying the table with query: 'SELECT * from ##tableName', because of the clustering + * defined on the table, the data should be reordered to: + * <p> + * __time, bigint_col1 + * 2022-12-26T12:34:56,8 + * 2022-12-26T12:34:56,8 + * 2022-12-26T12:34:56,9 + * 2022-12-26T12:34:56,10 + * + */ + @Test + public void testInsertWithClusteringFromQuery() throws Exception + { + String queryFile = "/catalog/clustering_select.sql"; + String tableName = "testWithClusteringFromQuery" + operationName; + TableMetadata table = TableBuilder.datasource(tableName, "P1D") + .column(Columns.TIME_COLUMN, Columns.LONG) + .column("bigint_col1", "BIGINT") + .build(); + + client.createTable(table, true); + LOG.info("table created:\n%s", client.readTable(table.id())); + String queryInline = + StringUtils.format(dmlPrefixPattern, tableName) + "\n" + + "SELECT\n" + + " TIME_PARSE(a) AS __time,\n" + + " c AS bigint_col1\n" + + "FROM TABLE(\n" + + " EXTERN(\n" + + " '{\"type\":\"inline\",\"data\":\"2022-12-26T12:34:56,extra,10,\\\"20\\\",2.0,foo\\n2022-12-26T12:34:56,extra,9,\\\"30\\\",2.0,foo\\n2022-12-26T12:34:56,extra,8,\\\"40\\\",2.0,foq\\n2022-12-26T12:34:56,extra,8,\\\"50\\\",2.0,fop\"}',\n" + + " '{\"type\":\"csv\",\"findColumnsFromHeader\":false,\"columns\":[\"a\",\"b\",\"c\",\"d\",\"e\",\"f\"]}'\n" + + " )\n" + + ") " + + " EXTEND (a VARCHAR, b VARCHAR, c BIGINT, d VARCHAR, e FLOAT, f VARCHAR)\n" + + "CLUSTERED BY \"bigint_col1\"\n"; + + // Submit the task and wait for the datasource to get loaded + LOG.info("Running query:\n%s", queryInline); + SqlTaskStatus sqlTaskStatus = msqHelper.submitMsqTaskSuccesfully(queryInline); + + if (sqlTaskStatus.getState().isFailure()) { + Assert.fail(StringUtils.format( + "Unable to start the task successfully.\nPossible exception: %s", + sqlTaskStatus.getError() + )); + } + + msqHelper.pollTaskIdForSuccess(sqlTaskStatus.getTaskId()); + dataLoaderHelper.waitUntilDatasourceIsReady(tableName); + + msqHelper.testQueriesFromFile(queryFile, tableName); + } + + /** + * Create table with columns: + * <p> + * __time LONG + * varchar_col1 VARCHAR + * bigint_col1 BIGINT + * float_col1 FLOAT + * varchar_col2 VARCHAR + * <p> + * and multiple clustering columns defined in catalog as + * <p> + * bigInt_col1, varchar_col2 + * <p> + * And insert the following data: + * <p> + * __time, varchar_col1, bigint_col1, float_col1, varchar_col2 + * 2022-12-26T12:34:56,extra,10,"20",2.0,foo + * 2022-12-26T12:34:56,extra,9,"30",2.0,foo + * 2022-12-26T12:34:56,extra,8,"40",2.0,foq + * 2022-12-26T12:34:56,extra,8,"50",2.0,fop + * <p> + * When querying the table with query: 'SELECT * from ##tableName', because of the clustering + * defined on the table, the data should be reordered to: + * <p> + * __time, varchar_col1, bigint_col1, float_col1, varchar_col2 + * 2022-12-26T12:34:56,extra,8,"50",2.0,fop + * 2022-12-26T12:34:56,extra,8,"40",2.0,foq + * 2022-12-26T12:34:56,extra,9,"30",2.0,foo + * 2022-12-26T12:34:56,extra,10,"20",2.0,foo + * + */ + @Test + public void testInsertWithMultiClusteringFromCatalog() throws Exception + { + String queryFile = "/catalog/multiClustering_select.sql"; + String tableName = "testWithMultiClusteringFromCatalog" + operationName; + TableMetadata table = TableBuilder.datasource(tableName, "P1D") + .column(Columns.TIME_COLUMN, Columns.LONG) + .column("varchar_col1", "VARCHAR") + .column("bigint_col1", "BIGINT") + .column("float_col1", "FLOAT") + .column("varchar_col2", "VARCHAR") + .property( + DatasourceDefn.CLUSTER_KEYS_PROPERTY, + ImmutableList.of(new ClusterKeySpec("bigint_col1", false), new ClusterKeySpec("varchar_col2", false)) + ) + .build(); + + client.createTable(table, true); + LOG.info("table created:\n%s", client.readTable(table.id())); + String queryInline = + StringUtils.format(dmlPrefixPattern, tableName) + "\n" + + "SELECT\n" + + " TIME_PARSE(a) AS __time,\n" + + " b AS varchar_col1,\n" + + " c AS bigint_col1,\n" + + " e AS float_col1,\n" + + " f AS varchar_col2\n" + + "FROM TABLE(\n" + + " EXTERN(\n" + + " '{\"type\":\"inline\",\"data\":\"2022-12-26T12:34:56,extra,10,\\\"20\\\",2.0,foo\\n2022-12-26T12:34:56,extra,9,\\\"30\\\",2.0,foo\\n2022-12-26T12:34:56,extra,8,\\\"40\\\",2.0,foq\\n2022-12-26T12:34:56,extra,8,\\\"50\\\",2.0,fop\"}',\n" + + " '{\"type\":\"csv\",\"findColumnsFromHeader\":false,\"columns\":[\"a\",\"b\",\"c\",\"d\",\"e\",\"f\"]}'\n" + + " )\n" + + ") " + + " EXTEND (a VARCHAR, b VARCHAR, c BIGINT, d VARCHAR, e FLOAT, f VARCHAR)\n"; + + // Submit the task and wait for the datasource to get loaded + LOG.info("Running query:\n%s", queryInline); + SqlTaskStatus sqlTaskStatus = msqHelper.submitMsqTaskSuccesfully(queryInline); + + if (sqlTaskStatus.getState().isFailure()) { + Assert.fail(StringUtils.format( + "Unable to start the task successfully.\nPossible exception: %s", + sqlTaskStatus.getError() Review Comment: ## Use of default toString() Default toString(): ErrorResponse inherits toString() from Object, and so is not suitable for printing. 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