Java Code Examples for com.facebook.presto.spi.type.BigintType#BIGINT

The following examples show how to use com.facebook.presto.spi.type.BigintType#BIGINT . You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.
Example 1
Source File: TestJsonDecoder.java    From presto-kinesis with Apache License 2.0 6 votes vote down vote up
@Test
public void testStringNumber()
        throws Exception
{
    byte[] json = "{\"a_number\":481516,\"a_string\":\"2342\"}".getBytes(StandardCharsets.UTF_8);

    JsonKinesisRowDecoder rowDecoder = new JsonKinesisRowDecoder(PROVIDER.get());
    KinesisColumnHandle row1 = new KinesisColumnHandle("", 0, "row1", VarcharType.VARCHAR, "a_number", null, null, false, false);
    KinesisColumnHandle row2 = new KinesisColumnHandle("", 1, "row2", BigintType.BIGINT, "a_number", null, null, false, false);
    KinesisColumnHandle row3 = new KinesisColumnHandle("", 2, "row3", VarcharType.VARCHAR, "a_string", null, null, false, false);
    KinesisColumnHandle row4 = new KinesisColumnHandle("", 3, "row4", BigintType.BIGINT, "a_string", null, null, false, false);

    List<KinesisColumnHandle> columns = ImmutableList.of(row1, row2, row3, row4);
    Set<KinesisFieldValueProvider> providers = new HashSet<>();

    boolean valid = rowDecoder.decodeRow(json, providers, columns, buildMap(columns));
    assertTrue(valid);

    assertEquals(providers.size(), columns.size());

    DecoderTestUtil.checkValue(providers, row1, "481516");
    DecoderTestUtil.checkValue(providers, row2, 481516);
    DecoderTestUtil.checkValue(providers, row3, "2342");
    DecoderTestUtil.checkValue(providers, row4, 2342);
}
 
Example 2
Source File: TypeHelper.java    From presto-kudu with Apache License 2.0 6 votes vote down vote up
public static long getLong(Type type, RowResult row, int field) {
    if (type == TimestampType.TIMESTAMP) {
        return row.getLong(field) / 1000;
    } else if (type == BigintType.BIGINT) {
        return row.getLong(field);
    } else if (type == IntegerType.INTEGER) {
        return row.getInt(field);
    } else if (type == SmallintType.SMALLINT) {
        return row.getShort(field);
    } else if (type == TinyintType.TINYINT) {
        return row.getByte(field);
    } else if (type == RealType.REAL) {
        return floatToRawIntBits(row.getFloat(field));
    } else if (type instanceof DecimalType) {
        DecimalType dtype = (DecimalType) type;
        if (dtype.isShort()) {
            return row.getDecimal(field).unscaledValue().longValue();
        } else {
            throw new IllegalStateException("getLong not supported for long decimal: " + type);
        }
    } else {
        throw new IllegalStateException("getLong not implemented for " + type);
    }
}
 
Example 3
Source File: TestJsonDecoder.java    From presto-kinesis with Apache License 2.0 6 votes vote down vote up
@Test
public void testNonExistent()
        throws Exception
{
    byte[] json = "{}".getBytes(StandardCharsets.UTF_8);

    JsonKinesisRowDecoder rowDecoder = new JsonKinesisRowDecoder(PROVIDER.get());
    KinesisColumnHandle row1 = new KinesisColumnHandle("", 0, "row1", VarcharType.VARCHAR, "very/deep/varchar", null, null, false, false);
    KinesisColumnHandle row2 = new KinesisColumnHandle("", 1, "row2", BigintType.BIGINT, "no_bigint", null, null, false, false);
    KinesisColumnHandle row3 = new KinesisColumnHandle("", 2, "row3", DoubleType.DOUBLE, "double/is_missing", null, null, false, false);
    KinesisColumnHandle row4 = new KinesisColumnHandle("", 3, "row4", BooleanType.BOOLEAN, "hello", null, null, false, false);

    List<KinesisColumnHandle> columns = ImmutableList.of(row1, row2, row3, row4);
    Set<KinesisFieldValueProvider> providers = new HashSet<>();

    boolean valid = rowDecoder.decodeRow(json, providers, columns, buildMap(columns));
    assertTrue(valid);

    assertEquals(providers.size(), columns.size());

    DecoderTestUtil.checkIsNull(providers, row1);
    DecoderTestUtil.checkIsNull(providers, row2);
    DecoderTestUtil.checkIsNull(providers, row3);
    DecoderTestUtil.checkIsNull(providers, row4);
}
 
Example 4
Source File: TestCsvDecoder.java    From presto-kinesis with Apache License 2.0 5 votes vote down vote up
@Test
public void testSimple()
{
    String csv = "\"row 1\",row2,\"row3\",100,\"200\",300,4.5";

    CsvKinesisRowDecoder rowDecoder = new CsvKinesisRowDecoder();
    KinesisColumnHandle row1 = new KinesisColumnHandle("", 0, "row1", VarcharType.VARCHAR, "0", null, null, false, false);
    KinesisColumnHandle row2 = new KinesisColumnHandle("", 1, "row2", VarcharType.VARCHAR, "1", null, null, false, false);
    KinesisColumnHandle row3 = new KinesisColumnHandle("", 2, "row3", VarcharType.VARCHAR, "2", null, null, false, false);
    KinesisColumnHandle row4 = new KinesisColumnHandle("", 3, "row4", BigintType.BIGINT, "3", null, null, false, false);
    KinesisColumnHandle row5 = new KinesisColumnHandle("", 4, "row5", BigintType.BIGINT, "4", null, null, false, false);
    KinesisColumnHandle row6 = new KinesisColumnHandle("", 5, "row6", BigintType.BIGINT, "5", null, null, false, false);
    KinesisColumnHandle row7 = new KinesisColumnHandle("", 6, "row7", DoubleType.DOUBLE, "6", null, null, false, false);

    List<KinesisColumnHandle> columns = ImmutableList.of(row1, row2, row3, row4, row5, row6, row7);
    Set<KinesisFieldValueProvider> providers = new HashSet<>();

    boolean valid = rowDecoder.decodeRow(csv.getBytes(StandardCharsets.UTF_8), providers, columns, buildMap(columns));
    assertTrue(valid);

    assertEquals(providers.size(), columns.size());

    DecoderTestUtil.checkValue(providers, row1, "row 1");
    DecoderTestUtil.checkValue(providers, row2, "row2");
    DecoderTestUtil.checkValue(providers, row3, "row3");
    DecoderTestUtil.checkValue(providers, row4, 100);
    DecoderTestUtil.checkValue(providers, row5, 200);
    DecoderTestUtil.checkValue(providers, row6, 300);
    DecoderTestUtil.checkValue(providers, row7, 4.5d);
}
 
Example 5
Source File: TestRFC2822JsonKinesisFieldDecoder.java    From presto-kinesis with Apache License 2.0 5 votes vote down vote up
@Test
public void testNullValues()
        throws Exception
{
    byte[] json = "{}".getBytes(StandardCharsets.UTF_8);

    JsonKinesisRowDecoder rowDecoder = new JsonKinesisRowDecoder(PROVIDER.get());
    KinesisColumnHandle row1 = new KinesisColumnHandle("", 0, "row1", BigintType.BIGINT, "a_number", KinesisFieldDecoder.DEFAULT_FIELD_DECODER_NAME, null, false, false);
    KinesisColumnHandle row2 = new KinesisColumnHandle("", 1, "row2", VarcharType.VARCHAR, "a_string", KinesisFieldDecoder.DEFAULT_FIELD_DECODER_NAME, null, false, false);

    KinesisColumnHandle row3 = new KinesisColumnHandle("", 2, "row3", BigintType.BIGINT, "a_number", RFC2822JsonKinesisFieldDecoder.NAME, null, false, false);
    KinesisColumnHandle row4 = new KinesisColumnHandle("", 3, "row4", BigintType.BIGINT, "a_string", RFC2822JsonKinesisFieldDecoder.NAME, null, false, false);

    KinesisColumnHandle row5 = new KinesisColumnHandle("", 4, "row5", VarcharType.VARCHAR, "a_number", RFC2822JsonKinesisFieldDecoder.NAME, null, false, false);
    KinesisColumnHandle row6 = new KinesisColumnHandle("", 5, "row6", VarcharType.VARCHAR, "a_string", RFC2822JsonKinesisFieldDecoder.NAME, null, false, false);

    List<KinesisColumnHandle> columns = ImmutableList.of(row1, row2, row3, row4, row5, row6);
    Set<KinesisFieldValueProvider> providers = new HashSet<>();

    boolean valid = rowDecoder.decodeRow(json, providers, columns, map(columns));
    assertTrue(valid);

    assertEquals(providers.size(), columns.size());

    // sanity checks
    checkIsNull(providers, row1);
    checkIsNull(providers, row2);
    checkIsNull(providers, row3);
    checkIsNull(providers, row4);
    checkIsNull(providers, row5);
    checkIsNull(providers, row6);
}
 
Example 6
Source File: TestISO8601JsonKinesisFieldDecoder.java    From presto-kinesis with Apache License 2.0 5 votes vote down vote up
@Test
public void testNullValues()
        throws Exception
{
    byte[] json = "{}".getBytes(StandardCharsets.UTF_8);

    JsonKinesisRowDecoder rowDecoder = new JsonKinesisRowDecoder(PROVIDER.get());
    KinesisColumnHandle row1 = new KinesisColumnHandle("", 0, "row1", BigintType.BIGINT, "a_number", KinesisFieldDecoder.DEFAULT_FIELD_DECODER_NAME, null, false, false);
    KinesisColumnHandle row2 = new KinesisColumnHandle("", 1, "row2", VarcharType.VARCHAR, "a_string", KinesisFieldDecoder.DEFAULT_FIELD_DECODER_NAME, null, false, false);

    KinesisColumnHandle row3 = new KinesisColumnHandle("", 2, "row3", BigintType.BIGINT, "a_number", ISO8601JsonKinesisFieldDecoder.NAME, null, false, false);
    KinesisColumnHandle row4 = new KinesisColumnHandle("", 3, "row4", BigintType.BIGINT, "a_string", ISO8601JsonKinesisFieldDecoder.NAME, null, false, false);

    KinesisColumnHandle row5 = new KinesisColumnHandle("", 4, "row5", VarcharType.VARCHAR, "a_number", ISO8601JsonKinesisFieldDecoder.NAME, null, false, false);
    KinesisColumnHandle row6 = new KinesisColumnHandle("", 5, "row6", VarcharType.VARCHAR, "a_string", ISO8601JsonKinesisFieldDecoder.NAME, null, false, false);

    List<KinesisColumnHandle> columns = ImmutableList.of(row1, row2, row3, row4, row5, row6);
    Set<KinesisFieldValueProvider> providers = new HashSet<>();

    boolean valid = rowDecoder.decodeRow(json, providers, columns, buildMap(columns));
    assertTrue(valid);

    assertEquals(providers.size(), columns.size());

    // sanity checks
    DecoderTestUtil.checkIsNull(providers, row1);
    DecoderTestUtil.checkIsNull(providers, row2);
    DecoderTestUtil.checkIsNull(providers, row3);
    DecoderTestUtil.checkIsNull(providers, row4);
    DecoderTestUtil.checkIsNull(providers, row5);
    DecoderTestUtil.checkIsNull(providers, row6);
}
 
Example 7
Source File: TestMillisecondsSinceEpochJsonKinesisFieldDecoder.java    From presto-kinesis with Apache License 2.0 5 votes vote down vote up
@Test
public void testNullValues()
        throws Exception
{
    byte[] json = "{}".getBytes(StandardCharsets.UTF_8);

    JsonKinesisRowDecoder rowDecoder = new JsonKinesisRowDecoder(PROVIDER.get());
    KinesisColumnHandle row1 = new KinesisColumnHandle("", 0, "row1", BigintType.BIGINT, "a_number", KinesisFieldDecoder.DEFAULT_FIELD_DECODER_NAME, null, false, false);
    KinesisColumnHandle row2 = new KinesisColumnHandle("", 1, "row2", VarcharType.VARCHAR, "a_string", KinesisFieldDecoder.DEFAULT_FIELD_DECODER_NAME, null, false, false);

    KinesisColumnHandle row3 = new KinesisColumnHandle("", 2, "row3", BigintType.BIGINT, "a_number", MillisecondsSinceEpochJsonKinesisFieldDecoder.NAME, null, false, false);
    KinesisColumnHandle row4 = new KinesisColumnHandle("", 3, "row4", BigintType.BIGINT, "a_string", MillisecondsSinceEpochJsonKinesisFieldDecoder.NAME, null, false, false);

    KinesisColumnHandle row5 = new KinesisColumnHandle("", 4, "row5", VarcharType.VARCHAR, "a_number", MillisecondsSinceEpochJsonKinesisFieldDecoder.NAME, null, false, false);
    KinesisColumnHandle row6 = new KinesisColumnHandle("", 5, "row6", VarcharType.VARCHAR, "a_string", MillisecondsSinceEpochJsonKinesisFieldDecoder.NAME, null, false, false);

    List<KinesisColumnHandle> columns = ImmutableList.of(row1, row2, row3, row4, row5, row6);
    Set<KinesisFieldValueProvider> providers = new HashSet<>();

    boolean valid = rowDecoder.decodeRow(json, providers, columns, buildMap(columns));
    assertTrue(valid);

    assertEquals(providers.size(), columns.size());

    // sanity checks
    DecoderTestUtil.checkIsNull(providers, row1);
    DecoderTestUtil.checkIsNull(providers, row2);
    DecoderTestUtil.checkIsNull(providers, row3);
    DecoderTestUtil.checkIsNull(providers, row4);
    DecoderTestUtil.checkIsNull(providers, row5);
    DecoderTestUtil.checkIsNull(providers, row6);
}
 
Example 8
Source File: TestSecondsSinceEpochJsonKinesisFieldDecoder.java    From presto-kinesis with Apache License 2.0 5 votes vote down vote up
@Test
public void testNullValues()
        throws Exception
{
    byte[] json = "{}".getBytes(StandardCharsets.UTF_8);

    JsonKinesisRowDecoder rowDecoder = new JsonKinesisRowDecoder(PROVIDER.get());
    KinesisColumnHandle row1 = new KinesisColumnHandle("", 0, "row1", BigintType.BIGINT, "a_number", KinesisFieldDecoder.DEFAULT_FIELD_DECODER_NAME, null, false, false);
    KinesisColumnHandle row2 = new KinesisColumnHandle("", 1, "row2", VarcharType.VARCHAR, "a_string", KinesisFieldDecoder.DEFAULT_FIELD_DECODER_NAME, null, false, false);

    KinesisColumnHandle row3 = new KinesisColumnHandle("", 2, "row3", BigintType.BIGINT, "a_number", SecondsSinceEpochJsonKinesisFieldDecoder.NAME, null, false, false);
    KinesisColumnHandle row4 = new KinesisColumnHandle("", 3, "row4", BigintType.BIGINT, "a_string", SecondsSinceEpochJsonKinesisFieldDecoder.NAME, null, false, false);

    KinesisColumnHandle row5 = new KinesisColumnHandle("", 4, "row5", VarcharType.VARCHAR, "a_number", SecondsSinceEpochJsonKinesisFieldDecoder.NAME, null, false, false);
    KinesisColumnHandle row6 = new KinesisColumnHandle("", 5, "row6", VarcharType.VARCHAR, "a_string", SecondsSinceEpochJsonKinesisFieldDecoder.NAME, null, false, false);

    List<KinesisColumnHandle> columns = ImmutableList.of(row1, row2, row3, row4, row5, row6);
    Set<KinesisFieldValueProvider> providers = new HashSet<>();

    boolean valid = rowDecoder.decodeRow(json, providers, columns, buildMap(columns));
    assertTrue(valid);

    assertEquals(providers.size(), columns.size());

    // sanity checks
    DecoderTestUtil.checkIsNull(providers, row1);
    DecoderTestUtil.checkIsNull(providers, row2);
    DecoderTestUtil.checkIsNull(providers, row3);
    DecoderTestUtil.checkIsNull(providers, row4);
    DecoderTestUtil.checkIsNull(providers, row5);
    DecoderTestUtil.checkIsNull(providers, row6);
}
 
Example 9
Source File: TestJsonDecoder.java    From presto-kinesis with Apache License 2.0 5 votes vote down vote up
@Test
public void testOtherExtracts()
        throws Exception
{
    // Test other scenarios: deeper dive into object, get JSON constructs as strings, etc.
    byte[] json = ByteStreams.toByteArray(TestJsonDecoder.class.getResourceAsStream("/decoder/json/event.json"));

    JsonKinesisRowDecoder rowDecoder = new JsonKinesisRowDecoder(PROVIDER.get());
    KinesisColumnHandle row1 = new KinesisColumnHandle("", 0, "event_source", VarcharType.VARCHAR, "source", null, null, false, false);
    KinesisColumnHandle row2 = new KinesisColumnHandle("", 1, "user", VarcharType.VARCHAR, "user/handle", null, null, false, false);
    KinesisColumnHandle row3 = new KinesisColumnHandle("", 2, "user_string", VarcharType.VARCHAR, "user", null, null, false, false);
    KinesisColumnHandle row4 = new KinesisColumnHandle("", 3, "timestamp", BigintType.BIGINT, "timestamp", null, null, false, false);
    KinesisColumnHandle row5 = new KinesisColumnHandle("", 4, "browser_name", VarcharType.VARCHAR, "environment/browser/name", null, null, false, false);
    KinesisColumnHandle row6 = new KinesisColumnHandle("", 5, "tags_array", VarcharType.VARCHAR, "tags", null, null, false, false);

    List<KinesisColumnHandle> columns = ImmutableList.of(row1, row2, row3, row4, row5, row6);
    Set<KinesisFieldValueProvider> providers = new HashSet<>();

    log.info("Decoding row from event JSON file");
    boolean valid = rowDecoder.decodeRow(json, providers, columns, buildMap(columns));
    assertTrue(valid);

    assertEquals(providers.size(), columns.size());

    DecoderTestUtil.checkValue(providers, row1, "otherworld");
    DecoderTestUtil.checkValue(providers, row2, "joeblow");
    DecoderTestUtil.checkValue(providers, row3, "{\"email\":\"[email protected]\",\"handle\":\"joeblow\"}");
    KinesisFieldValueProvider provider = DecoderTestUtil.findValueProvider(providers, row6);
    assertNotNull(provider);
    log.info(new String(provider.getSlice().getBytes(), StandardCharsets.UTF_8));

    DecoderTestUtil.checkValue(providers, row4, 1450214872847L);
    DecoderTestUtil.checkValue(providers, row5, "Chrome");
    DecoderTestUtil.checkValue(providers, row6, "[\"tag1\",\"tag2\",\"tag3\"]");
    log.info("DONE");
}
 
Example 10
Source File: TestJsonDecoder.java    From presto-kinesis with Apache License 2.0 5 votes vote down vote up
@Test
public void testSimple()
        throws Exception
{
    byte[] json = ByteStreams.toByteArray(TestJsonDecoder.class.getResourceAsStream("/decoder/json/message.json"));

    JsonKinesisRowDecoder rowDecoder = new JsonKinesisRowDecoder(PROVIDER.get());
    KinesisColumnHandle row1 = new KinesisColumnHandle("", 0, "row1", VarcharType.VARCHAR, "source", null, null, false, false);
    KinesisColumnHandle row2 = new KinesisColumnHandle("", 1, "row2", VarcharType.VARCHAR, "user/screen_name", null, null, false, false);
    KinesisColumnHandle row3 = new KinesisColumnHandle("", 2, "row3", BigintType.BIGINT, "id", null, null, false, false);
    KinesisColumnHandle row4 = new KinesisColumnHandle("", 3, "row4", BigintType.BIGINT, "user/statuses_count", null, null, false, false);
    KinesisColumnHandle row5 = new KinesisColumnHandle("", 4, "row5", BooleanType.BOOLEAN, "user/geo_enabled", null, null, false, false);

    List<KinesisColumnHandle> columns = ImmutableList.of(row1, row2, row3, row4, row5);
    Set<KinesisFieldValueProvider> providers = new HashSet<>();

    boolean valid = rowDecoder.decodeRow(json, providers, columns, buildMap(columns));
    assertTrue(valid);

    assertEquals(providers.size(), columns.size());

    DecoderTestUtil.checkValue(providers, row1, "<a href=\"http://twitterfeed.com\" rel=\"nofollow\">twitterfeed</a>");
    DecoderTestUtil.checkValue(providers, row2, "EKentuckyNews");
    DecoderTestUtil.checkValue(providers, row3, 493857959588286460L);
    DecoderTestUtil.checkValue(providers, row4, 7630);
    DecoderTestUtil.checkValue(providers, row5, true);
}
 
Example 11
Source File: TypeHelper.java    From presto-kudu with Apache License 2.0 5 votes vote down vote up
public static Object getObject(Type type, RowResult row, int field) {
    if (row.isNull(field)) {
        return null;
    } else {
        if (type instanceof VarcharType) {
            return row.getString(field);
        } else if (type == TimestampType.TIMESTAMP) {
            return row.getLong(field) / 1000;
        } else if (type == BigintType.BIGINT) {
            return row.getLong(field);
        } else if (type == IntegerType.INTEGER) {
            return row.getInt(field);
        } else if (type == SmallintType.SMALLINT) {
            return row.getShort(field);
        } else if (type == TinyintType.TINYINT) {
            return row.getByte(field);
        } else if (type == DoubleType.DOUBLE) {
            return row.getDouble(field);
        } else if (type == RealType.REAL) {
            return row.getFloat(field);
        } else if (type == BooleanType.BOOLEAN) {
            return row.getBoolean(field);
        } else if (type instanceof VarbinaryType) {
            return Slices.wrappedBuffer(row.getBinary(field));
        } else if (type instanceof DecimalType) {
            return row.getDecimal(field);
        } else {
            throw new IllegalStateException("getObject not implemented for " + type);
        }
    }
}
 
Example 12
Source File: TypeHelper.java    From presto-kudu with Apache License 2.0 5 votes vote down vote up
public static Object getJavaValue(Type type, Object nativeValue) {
    if (type instanceof VarcharType) {
        return ((Slice) nativeValue).toStringUtf8();
    } else if (type == TimestampType.TIMESTAMP) {
        return ((Long) nativeValue) * 1000;
    } else if (type == BigintType.BIGINT) {
        return nativeValue;
    } else if (type == IntegerType.INTEGER) {
        return ((Long) nativeValue).intValue();
    } else if (type == SmallintType.SMALLINT) {
        return ((Long) nativeValue).shortValue();
    } else if (type == TinyintType.TINYINT) {
        return ((Long) nativeValue).byteValue();
    } else if (type == DoubleType.DOUBLE) {
        return nativeValue;
    } else if (type == RealType.REAL) {
        // conversion can result in precision lost
        return intBitsToFloat(((Long) nativeValue).intValue());
    } else if (type == BooleanType.BOOLEAN) {
        return nativeValue;
    } else if (type instanceof VarbinaryType) {
        return ((Slice) nativeValue).toByteBuffer();
    } else if (type instanceof DecimalType) {
        return nativeValue;
    } else {
        throw new IllegalStateException("Back conversion not implemented for " + type);
    }
}
 
Example 13
Source File: TypeHelper.java    From presto-kudu with Apache License 2.0 5 votes vote down vote up
public static NullableValue getColumnValue(Type type, PartialRow row, int i) {
    if (row.isNull(i)) {
        return NullableValue.asNull(type);
    } else {
        if (type instanceof VarcharType) {
            return NullableValue.of(type, utf8Slice(row.getString(i)));
        } else if (type == TimestampType.TIMESTAMP) {
            return NullableValue.of(type, row.getLong(i) / 1000);
        } else if (type == BigintType.BIGINT) {
            return NullableValue.of(type, row.getLong(i));
        } else if (type == IntegerType.INTEGER) {
            return NullableValue.of(type, row.getInt(i));
        } else if (type == SmallintType.SMALLINT) {
            return NullableValue.of(type, row.getShort(i));
        } else if (type == TinyintType.TINYINT) {
            return NullableValue.of(type, row.getByte(i));
        } else if (type == DoubleType.DOUBLE) {
            return NullableValue.of(type, row.getDouble(i));
        } else if (type == RealType.REAL) {
            return NullableValue.of(type, (long) floatToRawIntBits(row.getFloat(i)));
        } else if (type == BooleanType.BOOLEAN) {
            return NullableValue.of(type, row.getBoolean(i));
        } else if (type instanceof VarbinaryType) {
            return NullableValue.of(type, wrappedBuffer(row.getBinary(i)));
        } else if (type instanceof DecimalType) {
            return NullableValue.of(type, row.getDecimal(i));
        } else {
            throw new IllegalStateException("Handling of type " + type + " is not implemented");
        }
    }
}
 
Example 14
Source File: TypeHelper.java    From presto-kudu with Apache License 2.0 5 votes vote down vote up
private static Type fromKuduClientType(org.apache.kudu.Type ktype, ColumnTypeAttributes attributes) {
    switch (ktype) {
        case STRING:
            return VarcharType.VARCHAR;
        case UNIXTIME_MICROS:
            return TimestampType.TIMESTAMP;
        case INT64:
            return BigintType.BIGINT;
        case INT32:
            return IntegerType.INTEGER;
        case INT16:
            return SmallintType.SMALLINT;
        case INT8:
            return TinyintType.TINYINT;
        case FLOAT:
            return RealType.REAL;
        case DOUBLE:
            return DoubleType.DOUBLE;
        case BOOL:
            return BooleanType.BOOLEAN;
        case BINARY:
            return VarbinaryType.VARBINARY;
        case DECIMAL:
            return DecimalType.createDecimalType(attributes.getPrecision(), attributes.getScale());
        default:
            throw new IllegalStateException("Kudu type not implemented for " + ktype);
    }
}
 
Example 15
Source File: TypeHelper.java    From presto-kudu with Apache License 2.0 5 votes vote down vote up
public static org.apache.kudu.Type toKuduClientType(Type type) {
    if (type instanceof VarcharType) {
        return org.apache.kudu.Type.STRING;
    } else if (type == TimestampType.TIMESTAMP) {
        return org.apache.kudu.Type.UNIXTIME_MICROS;
    } else if (type == BigintType.BIGINT) {
        return org.apache.kudu.Type.INT64;
    } else if (type == IntegerType.INTEGER) {
        return org.apache.kudu.Type.INT32;
    } else if (type == SmallintType.SMALLINT) {
        return org.apache.kudu.Type.INT16;
    } else if (type == TinyintType.TINYINT) {
        return org.apache.kudu.Type.INT8;
    } else if (type == RealType.REAL) {
        return org.apache.kudu.Type.FLOAT;
    } else if (type == DoubleType.DOUBLE) {
        return org.apache.kudu.Type.DOUBLE;
    } else if (type == BooleanType.BOOLEAN) {
        return org.apache.kudu.Type.BOOL;
    } else if (type instanceof VarbinaryType) {
        return org.apache.kudu.Type.BINARY;
    } else if (type instanceof DecimalType) {
        return org.apache.kudu.Type.DECIMAL;
    } else if (type == DateType.DATE) {
        return org.apache.kudu.Type.STRING;
    } else if (type instanceof CharType) {
        return org.apache.kudu.Type.STRING;
    } else {
        throw new IllegalStateException("Type mapping implemented for Presto type: " + type);
    }
}
 
Example 16
Source File: TestSecondsSinceEpochJsonKinesisFieldDecoder.java    From presto-kinesis with Apache License 2.0 4 votes vote down vote up
@Test
public void testBasicFormatting()
        throws Exception
{
    long now = System.currentTimeMillis() / 1000; // SecondsSinceEpoch is second granularity
    String nowString = SecondsSinceEpochJsonKinesisFieldDecoder.FORMATTER.print(now * 1000);

    byte[] json = format("{\"a_number\":%d,\"a_string\":\"%d\"}", now, now).getBytes(StandardCharsets.UTF_8);

    JsonKinesisRowDecoder rowDecoder = new JsonKinesisRowDecoder(PROVIDER.get());
    KinesisColumnHandle row1 = new KinesisColumnHandle("", 0, "row1", BigintType.BIGINT, "a_number", KinesisFieldDecoder.DEFAULT_FIELD_DECODER_NAME, null, false, false);
    KinesisColumnHandle row2 = new KinesisColumnHandle("", 1, "row2", VarcharType.VARCHAR, "a_string", KinesisFieldDecoder.DEFAULT_FIELD_DECODER_NAME, null, false, false);

    KinesisColumnHandle row3 = new KinesisColumnHandle("", 2, "row3", BigintType.BIGINT, "a_number", SecondsSinceEpochJsonKinesisFieldDecoder.NAME, null, false, false);
    KinesisColumnHandle row4 = new KinesisColumnHandle("", 3, "row4", BigintType.BIGINT, "a_string", SecondsSinceEpochJsonKinesisFieldDecoder.NAME, null, false, false);

    KinesisColumnHandle row5 = new KinesisColumnHandle("", 4, "row5", VarcharType.VARCHAR, "a_number", SecondsSinceEpochJsonKinesisFieldDecoder.NAME, null, false, false);
    KinesisColumnHandle row6 = new KinesisColumnHandle("", 5, "row6", VarcharType.VARCHAR, "a_string", SecondsSinceEpochJsonKinesisFieldDecoder.NAME, null, false, false);

    List<KinesisColumnHandle> columns = ImmutableList.of(row1, row2, row3, row4, row5, row6);
    Set<KinesisFieldValueProvider> providers = new HashSet<>();

    boolean valid = rowDecoder.decodeRow(json, providers, columns, buildMap(columns));
    assertTrue(valid);

    assertEquals(providers.size(), columns.size());

    // sanity checks
    DecoderTestUtil.checkValue(providers, row1, now);
    DecoderTestUtil.checkValue(providers, row2, Long.toString(now));

    // number parsed as number --> return as time stamp (millis)
    DecoderTestUtil.checkValue(providers, row3, now * 1000);
    // string parsed as number --> parse text, convert to timestamp
    DecoderTestUtil.checkValue(providers, row4, now * 1000);

    // number parsed as string --> parse text, convert to timestamp, turn into string
    DecoderTestUtil.checkValue(providers, row5, nowString);

    // string parsed as string --> parse text, convert to timestamp, turn into string
    DecoderTestUtil.checkValue(providers, row6, nowString);
}
 
Example 17
Source File: TestMillisecondsSinceEpochJsonKinesisFieldDecoder.java    From presto-kinesis with Apache License 2.0 4 votes vote down vote up
@Test
public void testBasicFormatting()
        throws Exception
{
    long now = System.currentTimeMillis();
    String nowString = MillisecondsSinceEpochJsonKinesisFieldDecoder.FORMATTER.print(now);

    byte[] json = format("{\"a_number\":%d,\"a_string\":\"%d\"}", now, now).getBytes(StandardCharsets.UTF_8);

    JsonKinesisRowDecoder rowDecoder = new JsonKinesisRowDecoder(PROVIDER.get());
    KinesisColumnHandle row1 = new KinesisColumnHandle("", 0, "row1", BigintType.BIGINT, "a_number", KinesisFieldDecoder.DEFAULT_FIELD_DECODER_NAME, null, false, false);
    KinesisColumnHandle row2 = new KinesisColumnHandle("", 1, "row2", VarcharType.VARCHAR, "a_string", KinesisFieldDecoder.DEFAULT_FIELD_DECODER_NAME, null, false, false);

    KinesisColumnHandle row3 = new KinesisColumnHandle("", 2, "row3", BigintType.BIGINT, "a_number", MillisecondsSinceEpochJsonKinesisFieldDecoder.NAME, null, false, false);
    KinesisColumnHandle row4 = new KinesisColumnHandle("", 3, "row4", BigintType.BIGINT, "a_string", MillisecondsSinceEpochJsonKinesisFieldDecoder.NAME, null, false, false);

    KinesisColumnHandle row5 = new KinesisColumnHandle("", 4, "row5", VarcharType.VARCHAR, "a_number", MillisecondsSinceEpochJsonKinesisFieldDecoder.NAME, null, false, false);
    KinesisColumnHandle row6 = new KinesisColumnHandle("", 5, "row6", VarcharType.VARCHAR, "a_string", MillisecondsSinceEpochJsonKinesisFieldDecoder.NAME, null, false, false);

    List<KinesisColumnHandle> columns = ImmutableList.of(row1, row2, row3, row4, row5, row6);
    Set<KinesisFieldValueProvider> providers = new HashSet<>();

    boolean valid = rowDecoder.decodeRow(json, providers, columns, buildMap(columns));
    assertTrue(valid);

    assertEquals(providers.size(), columns.size());

    // sanity checks
    DecoderTestUtil.checkValue(providers, row1, now);
    DecoderTestUtil.checkValue(providers, row2, Long.toString(now));

    // number parsed as number --> return as time stamp (millis)
    DecoderTestUtil.checkValue(providers, row3, now);
    // string parsed as number --> parse text, convert to timestamp
    DecoderTestUtil.checkValue(providers, row4, now);

    // number parsed as string --> parse text, convert to timestamp, turn into string
    DecoderTestUtil.checkValue(providers, row5, nowString);

    // string parsed as string --> parse text, convert to timestamp, turn into string
    DecoderTestUtil.checkValue(providers, row6, nowString);
}
 
Example 18
Source File: TestISO8601JsonKinesisFieldDecoder.java    From presto-kinesis with Apache License 2.0 4 votes vote down vote up
@Test
public void testBasicFormatting()
        throws Exception
{
    long now = System.currentTimeMillis();
    String nowString = PRINTER.print(now);

    byte[] json = format("{\"a_number\":%d,\"a_string\":\"%s\"}", now, nowString).getBytes(StandardCharsets.UTF_8);

    JsonKinesisRowDecoder rowDecoder = new JsonKinesisRowDecoder(PROVIDER.get());
    KinesisColumnHandle row1 = new KinesisColumnHandle("", 0, "row1", BigintType.BIGINT, "a_number", KinesisFieldDecoder.DEFAULT_FIELD_DECODER_NAME, null, false, false);
    KinesisColumnHandle row2 = new KinesisColumnHandle("", 1, "row2", VarcharType.VARCHAR, "a_string", KinesisFieldDecoder.DEFAULT_FIELD_DECODER_NAME, null, false, false);

    KinesisColumnHandle row3 = new KinesisColumnHandle("", 2, "row3", BigintType.BIGINT, "a_number", ISO8601JsonKinesisFieldDecoder.NAME, null, false, false);
    KinesisColumnHandle row4 = new KinesisColumnHandle("", 3, "row4", BigintType.BIGINT, "a_string", ISO8601JsonKinesisFieldDecoder.NAME, null, false, false);

    KinesisColumnHandle row5 = new KinesisColumnHandle("", 4, "row5", VarcharType.VARCHAR, "a_number", ISO8601JsonKinesisFieldDecoder.NAME, null, false, false);
    KinesisColumnHandle row6 = new KinesisColumnHandle("", 5, "row6", VarcharType.VARCHAR, "a_string", ISO8601JsonKinesisFieldDecoder.NAME, null, false, false);

    List<KinesisColumnHandle> columns = ImmutableList.of(row1, row2, row3, row4, row5, row6);
    Set<KinesisFieldValueProvider> providers = new HashSet<>();

    boolean valid = rowDecoder.decodeRow(json, providers, columns, buildMap(columns));
    assertTrue(valid);

    assertEquals(providers.size(), columns.size());

    // sanity checks
    DecoderTestUtil.checkValue(providers, row1, now);
    DecoderTestUtil.checkValue(providers, row2, nowString);

    // number parsed as number --> as is
    DecoderTestUtil.checkValue(providers, row3, now);
    // string parsed as number --> parse text, convert to timestamp
    DecoderTestUtil.checkValue(providers, row4, now);

    // number parsed as string --> parse text, convert to timestamp, turn into string
    DecoderTestUtil.checkValue(providers, row5, Long.toString(now));

    // string parsed as string --> as is
    DecoderTestUtil.checkValue(providers, row6, nowString);
}
 
Example 19
Source File: TestRFC2822JsonKinesisFieldDecoder.java    From presto-kinesis with Apache License 2.0 4 votes vote down vote up
@Test
public void testBasicFormatting()
        throws Exception
{
    long now = (System.currentTimeMillis() / 1000) * 1000; // rfc2822 is second granularity
    String nowString = FORMATTER.print(now);

    byte[] json = format("{\"a_number\":%d,\"a_string\":\"%s\"}", now, nowString).getBytes(StandardCharsets.UTF_8);

    JsonKinesisRowDecoder rowDecoder = new JsonKinesisRowDecoder(PROVIDER.get());
    KinesisColumnHandle row1 = new KinesisColumnHandle("", 0, "row1", BigintType.BIGINT, "a_number", KinesisFieldDecoder.DEFAULT_FIELD_DECODER_NAME, null, false, false);
    KinesisColumnHandle row2 = new KinesisColumnHandle("", 1, "row2", VarcharType.VARCHAR, "a_string", KinesisFieldDecoder.DEFAULT_FIELD_DECODER_NAME, null, false, false);

    KinesisColumnHandle row3 = new KinesisColumnHandle("", 2, "row3", BigintType.BIGINT, "a_number", RFC2822JsonKinesisFieldDecoder.NAME, null, false, false);
    KinesisColumnHandle row4 = new KinesisColumnHandle("", 3, "row4", BigintType.BIGINT, "a_string", RFC2822JsonKinesisFieldDecoder.NAME, null, false, false);

    KinesisColumnHandle row5 = new KinesisColumnHandle("", 4, "row5", VarcharType.VARCHAR, "a_number", RFC2822JsonKinesisFieldDecoder.NAME, null, false, false);
    KinesisColumnHandle row6 = new KinesisColumnHandle("", 5, "row6", VarcharType.VARCHAR, "a_string", RFC2822JsonKinesisFieldDecoder.NAME, null, false, false);

    List<KinesisColumnHandle> columns = ImmutableList.of(row1, row2, row3, row4, row5, row6);
    Set<KinesisFieldValueProvider> providers = new HashSet<>();

    boolean valid = rowDecoder.decodeRow(json, providers, columns, map(columns));
    assertTrue(valid);

    assertEquals(providers.size(), columns.size());

    // sanity checks
    checkValue(providers, row1, now);
    checkValue(providers, row2, nowString);

    // number parsed as number --> as is
    checkValue(providers, row3, now);
    // string parsed as number --> parse text, convert to timestamp
    checkValue(providers, row4, now);

    // number parsed as string --> parse text, convert to timestamp, turn into string
    checkValue(providers, row5, Long.toString(now));

    // string parsed as string --> as is
    checkValue(providers, row6, nowString);
}
 
Example 20
Source File: ParaflowMetaDataReader.java    From paraflow with Apache License 2.0 4 votes vote down vote up
private Type getType(String typeName)
{
    log.debug("Get type " + typeName);
    typeName = typeName.toLowerCase();
    // check if type is varchar(xx)
    Pattern vcpattern = Pattern.compile("varchar\\(\\s*(\\d+)\\s*\\)");
    Matcher vcmatcher = vcpattern.matcher(typeName);
    if (vcmatcher.find()) {
        String vlen = vcmatcher.group(1);
        if (!vlen.isEmpty()) {
            return VarcharType.createVarcharType(Integer.parseInt(vlen));
        }
        return UnknownType.UNKNOWN;
    }
    // check if type is char(xx)
    Pattern cpattern = Pattern.compile("char\\(\\s*(\\d+)\\s*\\)");
    Matcher cmatcher = cpattern.matcher(typeName);
    if (cmatcher.find()) {
        String clen = cmatcher.group(1);
        if (!clen.isEmpty()) {
            return CharType.createCharType(Integer.parseInt(clen));
        }
        return UnknownType.UNKNOWN;
    }
    // check if type is decimal(precision, scale)
    Pattern dpattern = Pattern.compile("decimal\\((\\d+)\\s*,?\\s*(\\d*)\\)");
    Matcher dmatcher = dpattern.matcher(typeName);
    if (dmatcher.find()) {
        String dprecision = dmatcher.group(1);
        String dscale = dmatcher.group(2);
        if (dprecision.isEmpty()) {
            return UnknownType.UNKNOWN;
        }
        if (dscale.isEmpty()) {
            return DecimalType.createDecimalType(Integer.parseInt(dprecision));
        }
        return DecimalType.createDecimalType(Integer.parseInt(dprecision), Integer.parseInt(dscale));
    }
    switch (typeName) {
        case "boolean":
            return BooleanType.BOOLEAN;
        case "tinyint":
            return TinyintType.TINYINT;
        case "smallint":
            return SmallintType.SMALLINT;
        case "integer":
            return IntegerType.INTEGER;
        case "bigint":
            return BigintType.BIGINT;
        case "real":
            return RealType.REAL;
        case "double":
            return DoubleType.DOUBLE;
        case "date":
            return DateType.DATE;
        case "time":
            return TimeType.TIME;
        case "timestamp":
            return TimestampType.TIMESTAMP;
        default:
            return UnknownType.UNKNOWN;
    }
}