Examples with QueryResult io.trino.tempto.query.QueryResult used on opensource projects

Example 1 with QueryResult

use of io.trino.tempto.query.QueryResult in project trino by trinodb.

the class TestCsv method assertSelect.

private static void assertSelect(String query, String tableName) {
    QueryResult expected = onTrino().executeQuery(format(query, "tpch.tiny.nation"));
    List<Row> expectedRows = expected.rows().stream().map(columns -> row(columns.toArray())).collect(toImmutableList());
    QueryResult actual = onTrino().executeQuery(format(query, tableName));
    assertThat(actual).hasColumns(expected.getColumnTypes()).containsOnly(expectedRows);
}

Example 2 with QueryResult

use of io.trino.tempto.query.QueryResult in project trino by trinodb.

the class TestHiveCoercion method testHiveCoercionAvro.

@Requires(AvroRequirements.class)
@Test(groups = { HIVE_COERCION, JDBC })
public void testHiveCoercionAvro() {
    String tableName = mutableTableInstanceOf(HIVE_COERCION_AVRO).getNameInDatabase();
    onHive().executeQuery(format("INSERT INTO TABLE %s " + "PARTITION (id=1) " + "VALUES" + "(2323, 0.5)," + "(-2323, -1.5)", tableName));
    onHive().executeQuery(format("ALTER TABLE %s CHANGE COLUMN int_to_bigint int_to_bigint bigint", tableName));
    onHive().executeQuery(format("ALTER TABLE %s CHANGE COLUMN float_to_double float_to_double double", tableName));
    assertThat(onTrino().executeQuery("SHOW COLUMNS FROM " + tableName).project(1, 2)).containsExactlyInOrder(row("int_to_bigint", "bigint"), row("float_to_double", "double"), row("id", "bigint"));
    QueryResult queryResult = onTrino().executeQuery("SELECT * FROM " + tableName);
    assertThat(queryResult).hasColumns(BIGINT, DOUBLE, BIGINT);
    assertThat(queryResult).containsOnly(row(2323L, 0.5, 1), row(-2323L, -1.5, 1));
}

Example 3 with QueryResult

use of io.trino.tempto.query.QueryResult in project trino by trinodb.

the class TestHiveCompatibility method testInsertAllSupportedDataTypesWithTrino.

@Test(dataProvider = "storageFormatsWithConfiguration", groups = STORAGE_FORMATS_DETAILED)
public void testInsertAllSupportedDataTypesWithTrino(TestHiveStorageFormats.StorageFormat storageFormat) throws SQLException {
    // only admin user is allowed to change session properties
    setAdminRole(onTrino().getConnection());
    for (Map.Entry<String, String> sessionProperty : storageFormat.getSessionProperties().entrySet()) {
        setSessionProperty(onTrino().getConnection(), sessionProperty.getKey(), sessionProperty.getValue());
    }
    String tableName = "storage_formats_compatibility_data_types_" + storageFormat.getName().toLowerCase(ENGLISH);
    onTrino().executeQuery(format("DROP TABLE IF EXISTS %s", tableName));
    boolean isAvroStorageFormat = "AVRO".equals(storageFormat.getName());
    boolean isParquetStorageFormat = "PARQUET".equals(storageFormat.getName());
    boolean isParquetOptimizedWriterEnabled = Boolean.parseBoolean(storageFormat.getSessionProperties().getOrDefault("hive.experimental_parquet_optimized_writer_enabled", "false"));
    List<HiveCompatibilityColumnData> columnDataList = new ArrayList<>();
    columnDataList.add(new HiveCompatibilityColumnData("c_boolean", "boolean", "true", true));
    if (!isAvroStorageFormat) {
        // The AVRO storage format does not support tinyint and smallint types
        columnDataList.add(new HiveCompatibilityColumnData("c_tinyint", "tinyint", "127", 127));
        columnDataList.add(new HiveCompatibilityColumnData("c_smallint", "smallint", "32767", 32767));
    }
    columnDataList.add(new HiveCompatibilityColumnData("c_int", "integer", "2147483647", 2147483647));
    columnDataList.add(new HiveCompatibilityColumnData("c_bigint", "bigint", "9223372036854775807", 9223372036854775807L));
    columnDataList.add(new HiveCompatibilityColumnData("c_real", "real", "123.345", 123.345d));
    columnDataList.add(new HiveCompatibilityColumnData("c_double", "double", "234.567", 234.567d));
    if (!(isParquetStorageFormat && isParquetOptimizedWriterEnabled)) {
        // Hive expects `FIXED_LEN_BYTE_ARRAY` for decimal values irrespective of the Parquet specification which allows `INT32`, `INT64` for short precision decimal types
        columnDataList.add(new HiveCompatibilityColumnData("c_decimal_10_0", "decimal(10,0)", "346", new BigDecimal("346")));
        columnDataList.add(new HiveCompatibilityColumnData("c_decimal_10_2", "decimal(10,2)", "12345678.91", new BigDecimal("12345678.91")));
    }
    columnDataList.add(new HiveCompatibilityColumnData("c_decimal_38_5", "decimal(38,5)", "1234567890123456789012.34567", new BigDecimal("1234567890123456789012.34567")));
    columnDataList.add(new HiveCompatibilityColumnData("c_char", "char(10)", "'ala ma    '", "ala ma    "));
    columnDataList.add(new HiveCompatibilityColumnData("c_varchar", "varchar(10)", "'ala ma kot'", "ala ma kot"));
    columnDataList.add(new HiveCompatibilityColumnData("c_string", "varchar", "'ala ma kota'", "ala ma kota"));
    columnDataList.add(new HiveCompatibilityColumnData("c_binary", "varbinary", "X'62696e61727920636f6e74656e74'", "binary content".getBytes(StandardCharsets.UTF_8)));
    if (!(isParquetStorageFormat && isHiveVersionBefore12())) {
        // The PARQUET storage format does not support DATE type in CDH5 distribution
        columnDataList.add(new HiveCompatibilityColumnData("c_date", "date", "DATE '2015-05-10'", Date.valueOf(LocalDate.of(2015, 5, 10))));
    }
    if (isAvroStorageFormat) {
        if (!isHiveVersionBefore12()) {
            // The AVRO storage format does not support TIMESTAMP type in CDH5 distribution
            columnDataList.add(new HiveCompatibilityColumnData("c_timestamp", "timestamp", "TIMESTAMP '2015-05-10 12:15:35.123'", isHiveWithBrokenAvroTimestamps() ? // TODO (https://github.com/trinodb/trino/issues/1218) requires https://issues.apache.org/jira/browse/HIVE-21002
            Timestamp.valueOf(LocalDateTime.of(2015, 5, 10, 6, 30, 35, 123_000_000)) : Timestamp.valueOf(LocalDateTime.of(2015, 5, 10, 12, 15, 35, 123_000_000))));
        }
    } else if (!(isParquetStorageFormat && isParquetOptimizedWriterEnabled)) {
        // Hive expects `INT96` (deprecated on Parquet) for timestamp values
        columnDataList.add(new HiveCompatibilityColumnData("c_timestamp", "timestamp", "TIMESTAMP '2015-05-10 12:15:35.123'", Timestamp.valueOf(LocalDateTime.of(2015, 5, 10, 12, 15, 35, 123_000_000))));
    }
    columnDataList.add(new HiveCompatibilityColumnData("c_array", "array(integer)", "ARRAY[1, 2, 3]", "[1,2,3]"));
    columnDataList.add(new HiveCompatibilityColumnData("c_map", "map(varchar, varchar)", "MAP(ARRAY['foo'], ARRAY['bar'])", "{\"foo\":\"bar\"}"));
    columnDataList.add(new HiveCompatibilityColumnData("c_row", "row(f1 integer, f2 varchar)", "ROW(42, 'Trino')", "{\"f1\":42,\"f2\":\"Trino\"}"));
    onTrino().executeQuery(format("CREATE TABLE %s (" + "%s" + ") " + "WITH (%s)", tableName, columnDataList.stream().map(data -> format("%s %s", data.columnName, data.trinoColumnType)).collect(joining(", ")), storageFormat.getStoragePropertiesAsSql()));
    onTrino().executeQuery(format("INSERT INTO %s VALUES (%s)", tableName, columnDataList.stream().map(data -> data.trinoInsertValue).collect(joining(", "))));
    // array, map and struct fields are interpreted as strings in the hive jdbc driver and need therefore special handling
    Function<HiveCompatibilityColumnData, Boolean> columnsInterpretedCorrectlyByHiveJdbcDriverPredicate = data -> !ImmutableList.of("c_array", "c_map", "c_row").contains(data.columnName);
    QueryResult queryResult = onHive().executeQuery(format("SELECT %s FROM %s", columnDataList.stream().filter(columnsInterpretedCorrectlyByHiveJdbcDriverPredicate::apply).map(data -> data.columnName).collect(joining(", ")), tableName));
    assertThat(queryResult).containsOnly(new QueryAssert.Row(columnDataList.stream().filter(columnsInterpretedCorrectlyByHiveJdbcDriverPredicate::apply).map(data -> data.hiveJdbcExpectedValue).collect(toImmutableList())));
    queryResult = onHive().executeQuery(format("SELECT c_array_value FROM %s LATERAL VIEW EXPLODE(c_array) t AS c_array_value", tableName));
    assertThat(queryResult).containsOnly(row(1), row(2), row(3));
    queryResult = onHive().executeQuery(format("SELECT key, c_map[\"foo\"] AS value FROM %s t LATERAL VIEW EXPLODE(map_keys(t.c_map)) keys AS key", tableName));
    assertThat(queryResult).containsOnly(row("foo", "bar"));
    queryResult = onHive().executeQuery(format("SELECT c_row.f1, c_row.f2 FROM %s", tableName));
    assertThat(queryResult).containsOnly(row(42, "Trino"));
    onTrino().executeQuery(format("DROP TABLE %s", tableName));
}

Example 4 with QueryResult

use of io.trino.tempto.query.QueryResult in project trino by trinodb.

the class TestHiveStorageFormats method testNestedFields.

private void testNestedFields(String format, Engine writer) {
    String tableName = "test_nested_fields_written_by_" + writer.name().toLowerCase(ENGLISH);
    onTrino().executeQuery("DROP TABLE IF EXISTS " + tableName);
    onTrino().executeQuery("CREATE TABLE " + tableName + " (" + "  r row(a int), " + "  rr row(r row(a int)), " + "  ra row(a array(int)), " + "  dummy varchar) WITH (format='" + format + "')");
    switch(writer) {
        case HIVE:
            ensureDummyExists();
            writer.queryExecutor().executeQuery("INSERT INTO " + tableName + " SELECT " + "named_struct('a', 42), " + "named_struct('r', named_struct('a', 43)), " + "named_struct('a', array(11, 22, 33)), " + "'dummy value' " + "FROM dummy");
            break;
        case TRINO:
            writer.queryExecutor().executeQuery("INSERT INTO " + tableName + " VALUES (" + "row(42), " + "row(row(43)), " + "row(ARRAY[11, 22, 33]), " + "'dummy value')");
            break;
        default:
            throw new IllegalStateException("Unsupported writer: " + writer);
    }
    assertThat(onTrino().executeQuery("SELECT * FROM " + tableName)).containsOnly(row(rowBuilder().addField("a", 42).build(), rowBuilder().addField("r", rowBuilder().addField("a", 43).build()).build(), rowBuilder().addField("a", List.of(11, 22, 33)).build(), "dummy value"));
    // with dereference
    assertThat(onTrino().executeQuery("SELECT r.a, rr.r.a, ra.a[2] FROM " + tableName)).containsOnly(row(42, 43, 22));
    // with dereference in predicate
    assertThat(onTrino().executeQuery("SELECT dummy FROM " + tableName + " WHERE r.a = 42 AND rr.r.a = 43 AND ra.a[2] = 22")).containsOnly(row("dummy value"));
    // verify with Hive if data written by Trino
    if (writer != Engine.HIVE) {
        QueryResult queryResult = null;
        try {
            queryResult = onHive().executeQuery("SELECT * FROM " + tableName);
            verify(queryResult != null);
        } catch (QueryExecutionException e) {
            if ("AVRO".equals(format)) {
                // TODO (https://github.com/trinodb/trino/issues/9285) Some versions of Hive cannot read Avro nested structs written by Trino
                Assertions.assertThat(e.getCause()).hasToString("java.sql.SQLException: java.io.IOException: org.apache.avro.AvroTypeException: Found default.record_1, expecting union");
            } else {
                throw e;
            }
        }
        if (queryResult != null) {
            assertThat(queryResult).containsOnly(row("{\"a\":42}", "{\"r\":{\"a\":43}}", "{\"a\":[11,22,33]}", "dummy value"));
        }
    }
    onTrino().executeQuery("DROP TABLE " + tableName);
}

Example 5 with QueryResult

use of io.trino.tempto.query.QueryResult in project trino by trinodb.

the class TestAllDatatypesFromHiveConnector method testSelectAllDatatypesRcfile.

@Requires(RcfileRequirements.class)
@Test(groups = JDBC)
public void testSelectAllDatatypesRcfile() {
    String tableName = mutableTableInstanceOf(ALL_HIVE_SIMPLE_TYPES_RCFILE).getNameInDatabase();
    populateDataToHiveTable(tableName);
    assertProperAllDatatypesSchema(tableName);
    QueryResult queryResult = onTrino().executeQuery(format("SELECT * FROM %s", tableName));
    assertColumnTypes(queryResult);
    assertThat(queryResult).containsOnly(row(127, 32767, 2147483647, 9223372036854775807L, 123.345f, 234.567, new BigDecimal("346"), new BigDecimal("345.67800"), Timestamp.valueOf(LocalDateTime.of(2015, 5, 10, 12, 15, 35, 123_000_000)), Date.valueOf("2015-05-10"), "ala ma kota", "ala ma kot", "ala ma    ", true, "kot binarny".getBytes(UTF_8)));
}