Java Code Examples for org.apache.spark.sql.types.DataTypes#BinaryType
The following examples show how to use
org.apache.spark.sql.types.DataTypes#BinaryType .
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Example 1
Source File: KafkaInput.java From envelope with Apache License 2.0 | 5 votes |
private DataType getExpectedFieldDataType(String fieldName) { if (Lists.newArrayList(expectedSchema.fieldNames()).contains(fieldName)) { return expectedSchema.fields()[expectedSchema.fieldIndex(fieldName)].dataType(); } else { // If the translator doesn't expect the field then provide it as binary return DataTypes.BinaryType; } }
Example 2
Source File: TestRowUtils.java From envelope with Apache License 2.0 | 5 votes |
@Test public void testToRowValueBinary() { DataType field = DataTypes.BinaryType; byte[] byteArray = "Test".getBytes(); ByteBuffer byteBuffer = ByteBuffer.wrap(byteArray); assertEquals("Invalid byte[]", byteArray, RowUtils.toRowValue(byteArray, field)); assertEquals("Invalid ByteBuffer", byteArray, RowUtils.toRowValue(byteBuffer, field)); thrown.expect(RuntimeException.class); RowUtils.toRowValue(123, field); }
Example 3
Source File: FlightDataSourceReader.java From flight-spark-source with Apache License 2.0 | 4 votes |
private DataType sparkFromArrow(FieldType fieldType) { switch (fieldType.getType().getTypeID()) { case Null: return DataTypes.NullType; case Struct: throw new UnsupportedOperationException("have not implemented Struct type yet"); case List: throw new UnsupportedOperationException("have not implemented List type yet"); case FixedSizeList: throw new UnsupportedOperationException("have not implemented FixedSizeList type yet"); case Union: throw new UnsupportedOperationException("have not implemented Union type yet"); case Int: ArrowType.Int intType = (ArrowType.Int) fieldType.getType(); int bitWidth = intType.getBitWidth(); if (bitWidth == 8) { return DataTypes.ByteType; } else if (bitWidth == 16) { return DataTypes.ShortType; } else if (bitWidth == 32) { return DataTypes.IntegerType; } else if (bitWidth == 64) { return DataTypes.LongType; } throw new UnsupportedOperationException("unknown int type with bitwidth " + bitWidth); case FloatingPoint: ArrowType.FloatingPoint floatType = (ArrowType.FloatingPoint) fieldType.getType(); FloatingPointPrecision precision = floatType.getPrecision(); switch (precision) { case HALF: case SINGLE: return DataTypes.FloatType; case DOUBLE: return DataTypes.DoubleType; } case Utf8: return DataTypes.StringType; case Binary: case FixedSizeBinary: return DataTypes.BinaryType; case Bool: return DataTypes.BooleanType; case Decimal: throw new UnsupportedOperationException("have not implemented Decimal type yet"); case Date: return DataTypes.DateType; case Time: return DataTypes.TimestampType; //note i don't know what this will do! case Timestamp: return DataTypes.TimestampType; case Interval: return DataTypes.CalendarIntervalType; case NONE: return DataTypes.NullType; } throw new IllegalStateException("Unexpected value: " + fieldType); }
Example 4
Source File: SQLHepler.java From sylph with Apache License 2.0 | 4 votes |
static DataType getSparkType(Type type) { if (type instanceof ParameterizedType && ((ParameterizedType) type).getRawType() == Map.class) { Type[] arguments = ((ParameterizedType) type).getActualTypeArguments(); return DataTypes.createMapType(getSparkType(arguments[0]), getSparkType(arguments[1])); } else if (type instanceof ParameterizedType && ((ParameterizedType) type).getRawType() == List.class) { DataType dataType = getSparkType(((ParameterizedType) type).getActualTypeArguments()[0]); return DataTypes.createArrayType(dataType); } else { if (type == String.class) { return DataTypes.StringType; } else if (type == int.class || type == Integer.class) { return DataTypes.IntegerType; } else if (type == long.class || type == Long.class) { return DataTypes.LongType; } else if (type == boolean.class || type == Boolean.class) { return DataTypes.BooleanType; } else if (type == double.class || type == Double.class) { return DataTypes.DoubleType; } else if (type == float.class || type == Float.class) { return DataTypes.FloatType; } else if (type == byte.class || type == Byte.class) { return DataTypes.ByteType; } else if (type == Timestamp.class) { return DataTypes.TimestampType; } else if (type == Date.class) { return DataTypes.DateType; } else if (type == byte[].class || type == Byte[].class) { return DataTypes.BinaryType; } else { throw new IllegalArgumentException("this TYPE " + type + " have't support!"); } } }
Example 5
Source File: SparkSturctTypeUtil.java From waterdrop with Apache License 2.0 | 4 votes |
private static DataType getType(String type) { DataType dataType = DataTypes.NullType; switch (type.toLowerCase()) { case "string": dataType = DataTypes.StringType; break; case "integer": dataType = DataTypes.IntegerType; break; case "long": dataType = DataTypes.LongType; break; case "double": dataType = DataTypes.DoubleType; break; case "float": dataType = DataTypes.FloatType; break; case "short": dataType = DataTypes.ShortType; break; case "date": dataType = DataTypes.DateType; break; case "timestamp": dataType = DataTypes.TimestampType; break; case "boolean": dataType = DataTypes.BooleanType; break; case "binary": dataType = DataTypes.BinaryType; break; case "byte": dataType = DataTypes.ByteType; break; default: throw new ConfigRuntimeException("Throw data type exception, unknown type: " + type); } return dataType; }
Example 6
Source File: KuduOutput.java From envelope with Apache License 2.0 | 4 votes |
private StructType schemaFor(KuduTable table) { List<StructField> fields = Lists.newArrayList(); for (ColumnSchema columnSchema : table.getSchema().getColumns()) { DataType fieldType; switch (columnSchema.getType()) { case DOUBLE: fieldType = DataTypes.DoubleType; break; case FLOAT: fieldType = DataTypes.FloatType; break; case INT8: fieldType = DataTypes.ByteType; break; case INT16: fieldType = DataTypes.ShortType; break; case INT32: fieldType = DataTypes.IntegerType; break; case INT64: fieldType = DataTypes.LongType; break; case STRING: fieldType = DataTypes.StringType; break; case BOOL: fieldType = DataTypes.BooleanType; break; case BINARY: fieldType = DataTypes.BinaryType; break; case UNIXTIME_MICROS: fieldType = DataTypes.TimestampType; break; case DECIMAL: int precision = columnSchema.getTypeAttributes().getPrecision(); int scale = columnSchema.getTypeAttributes().getScale(); fieldType = DataTypes.createDecimalType(precision, scale); break; default: throw new RuntimeException("Unsupported Kudu column type: " + columnSchema.getType()); } fields.add(DataTypes.createStructField(columnSchema.getName(), fieldType, true)); } return DataTypes.createStructType(fields); }
Example 7
Source File: AvroUtils.java From envelope with Apache License 2.0 | 4 votes |
/** * Convert Avro Types into their associated DataType. * * @param schemaType Avro Schema.Type * @return DataType representation */ public static DataType dataTypeFor(Schema schemaType) { LOG.trace("Converting Schema[{}] to DataType", schemaType); // Unwrap "optional" unions to the base type boolean isOptional = isNullable(schemaType); if (isOptional) { // if only 2 items in the union, then "unwrap," otherwise, it's a full union and should be rendered as such if (schemaType.getTypes().size() == 2) { LOG.trace("Unwrapping simple 'optional' union for {}", schemaType); for (Schema s : schemaType.getTypes()) { if (s.getType().equals(NULL)) { continue; } // Unwrap schemaType = s; break; } } } // Convert supported LogicalTypes if (null != schemaType.getLogicalType()) { LogicalType logicalType = schemaType.getLogicalType(); switch (logicalType.getName()) { case "date" : return DataTypes.DateType; case "timestamp-millis" : return DataTypes.TimestampType; case "decimal" : LogicalTypes.Decimal decimal = (LogicalTypes.Decimal) logicalType; return DataTypes.createDecimalType(decimal.getPrecision(), decimal.getScale()); default: // Pass-thru LOG.warn("Unsupported LogicalType[{}], continuing with underlying base type", logicalType.getName()); } } switch (schemaType.getType()) { case RECORD: // StructType List<StructField> structFieldList = Lists.newArrayListWithCapacity(schemaType.getFields().size()); for (Field f : schemaType.getFields()) { structFieldList.add(DataTypes.createStructField(f.name(), dataTypeFor(f.schema()), isNullable(f.schema()))); } return DataTypes.createStructType(structFieldList); case ARRAY: Schema elementType = schemaType.getElementType(); return DataTypes.createArrayType(dataTypeFor(elementType), isNullable(elementType)); case MAP: Schema valueType = schemaType.getValueType(); return DataTypes.createMapType(DataTypes.StringType, dataTypeFor(valueType), isNullable(valueType)); case UNION: // StructType of members List<StructField> unionFieldList = Lists.newArrayListWithCapacity(schemaType.getTypes().size()); int m = 0; for (Schema u : schemaType.getTypes()) { unionFieldList.add(DataTypes.createStructField("member" + m++, dataTypeFor(u), isNullable(u))); } return DataTypes.createStructType(unionFieldList); case FIXED: case BYTES: return DataTypes.BinaryType; case ENUM: case STRING: return DataTypes.StringType; case INT: return DataTypes.IntegerType; case LONG: return DataTypes.LongType; case FLOAT: return DataTypes.FloatType; case DOUBLE: return DataTypes.DoubleType; case BOOLEAN: return DataTypes.BooleanType; case NULL: return DataTypes.NullType; default: throw new RuntimeException(String.format("Unrecognized or unsupported Avro Type conversion: %s", schemaType)); } }
Example 8
Source File: ConfigurationDataTypes.java From envelope with Apache License 2.0 | 4 votes |
public static DataType getSparkDataType(String typeString) { DataType type; String prec_scale_regex_groups = "\\s*(decimal)\\s*\\(\\s*(\\d+)\\s*,\\s*(\\d+)\\s*\\)\\s*"; Pattern prec_scale_regex_pattern = Pattern.compile(prec_scale_regex_groups); Matcher prec_scale_regex_matcher = prec_scale_regex_pattern.matcher(typeString); if (prec_scale_regex_matcher.matches()) { int precision = Integer.parseInt(prec_scale_regex_matcher.group(2)); int scale = Integer.parseInt(prec_scale_regex_matcher.group(3)); type = DataTypes.createDecimalType(precision, scale); } else { switch (typeString) { case DECIMAL: type = DataTypes.createDecimalType(); break; case STRING: type = DataTypes.StringType; break; case FLOAT: type = DataTypes.FloatType; break; case DOUBLE: type = DataTypes.DoubleType; break; case BYTE: type = DataTypes.ByteType; break; case SHORT: type = DataTypes.ShortType; break; case INT: type = DataTypes.IntegerType; break; case LONG: type = DataTypes.LongType; break; case BOOLEAN: type = DataTypes.BooleanType; break; case BINARY: type = DataTypes.BinaryType; break; case DATE: type = DataTypes.DateType; break; case TIMESTAMP: type = DataTypes.TimestampType; break; default: throw new RuntimeException("Unsupported or unrecognized field type: " + typeString); } } return type; }
Example 9
Source File: AbstractGeometryUDT.java From geowave with Apache License 2.0 | 4 votes |
@Override public DataType sqlType() { return new StructType( new StructField[] {new StructField("wkb", DataTypes.BinaryType, true, Metadata.empty())}); }