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 .
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Example 1
| Source File: TestJsonDecoder.java From presto-kinesis with Apache License 2.0 | 6 votes |
|
@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 |
|
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 |
|
@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 |
|
@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 |
|
@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 |
|
@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 |
|
@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 |
|
@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 |
|
@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 |
|
@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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
@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 |
|
@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 |
|
@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 |
|
@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 |
|
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;
}
}
