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/*
* Licensed 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 io.trino.tests.product.kafka;
import io.trino.tempto.ProductTest;
import org.testng.annotations.Test;
import static io.trino.tempto.assertions.QueryAssert.Row.row;
import static io.trino.tempto.assertions.QueryAssert.assertQueryFailure;
import static io.trino.tests.product.TestGroups.KAFKA;
import static io.trino.tests.product.TestGroups.PROFILE_SPECIFIC_TESTS;
import static io.trino.tests.product.utils.QueryExecutors.onTrino;
import static java.lang.String.format;
import static org.assertj.core.api.Assertions.assertThat;
public class TestKafkaAvroWritesSmokeTest
extends ProductTest
{
private static final String KAFKA_CATALOG = "kafka";
private static final String ALL_DATATYPES_AVRO_TABLE_NAME = "product_tests.write_all_datatypes_avro";
private static final String STRUCTURAL_AVRO_TABLE_NAME = "product_tests.write_structural_datatype_avro";
@Test(groups = {KAFKA, PROFILE_SPECIFIC_TESTS})
public void testInsertPrimitiveDataType()
{
assertThat(onTrino().executeQuery(format(
"INSERT INTO %s.%s VALUES " +
"('jasio', 9223372036854775807, 1234567890.123456789, true), " +
"('stasio', -9223372036854775808, -1234567890.123456789, false), " +
"(null, null, null, null), " +
"('krzysio', 9223372036854775807, 1234567890.123456789, false), " +
"('kasia', 9223372036854775807, null, null)",
KAFKA_CATALOG,
ALL_DATATYPES_AVRO_TABLE_NAME)))
.updatedRowsCountIsEqualTo(5);
assertThat(onTrino().executeQuery(format(
"SELECT * FROM %s.%s",
KAFKA_CATALOG,
ALL_DATATYPES_AVRO_TABLE_NAME)))
.containsOnly(
row("jasio", 9223372036854775807L, 1234567890.123456789, true),
row("stasio", -9223372036854775808L, -1234567890.123456789, false),
row(null, null, null, null),
row("krzysio", 9223372036854775807L, 1234567890.123456789, false),
row("kasia", 9223372036854775807L, null, null));
}
@Test(groups = {KAFKA, PROFILE_SPECIFIC_TESTS})
public void testInsertStructuralDataType()
{
assertQueryFailure(() -> onTrino().executeQuery(format(
"INSERT INTO %s.%s VALUES " +
"(ARRAY[100, 102], map_from_entries(ARRAY[('key1', 'value1')]))",
KAFKA_CATALOG,
STRUCTURAL_AVRO_TABLE_NAME)))
.hasMessageMatching("Query failed \\(.+\\): Unsupported column type 'array\\(bigint\\)' for column 'c_array'");
}
}
