Examples with STORAGE_FORMATS_DETAILED io.trino.tests.product.TestGroups.STORAGE_FORMATS_DETAILED used on opensource projects

Example 1 with STORAGE_FORMATS_DETAILED

use of io.trino.tests.product.TestGroups.STORAGE_FORMATS_DETAILED 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));
}