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data_chunk.go
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data_chunk.go
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package duckdb
/*
#include <duckdb.h>
*/
import "C"
import (
"unsafe"
)
// DataChunk storage of a DuckDB table.
type DataChunk struct {
// data holds the underlying duckdb data chunk.
data C.duckdb_data_chunk
// columns is a helper slice providing direct access to all columns.
columns []vector
// columnNames holds the column names, if known.
columnNames []string
// size caches the size after initialization.
size int
}
// GetDataChunkCapacity returns the capacity of a data chunk.
func GetDataChunkCapacity() int {
return int(C.duckdb_vector_size())
}
// GetSize returns the internal size of the data chunk.
func (chunk *DataChunk) GetSize() int {
chunk.size = int(C.duckdb_data_chunk_get_size(chunk.data))
return chunk.size
}
// SetSize sets the internal size of the data chunk. Cannot exceed GetCapacity().
func (chunk *DataChunk) SetSize(size int) error {
if size > GetDataChunkCapacity() {
return getError(errAPI, errVectorSize)
}
C.duckdb_data_chunk_set_size(chunk.data, C.idx_t(size))
return nil
}
// GetValue returns a single value of a column.
func (chunk *DataChunk) GetValue(colIdx int, rowIdx int) (any, error) {
if colIdx >= len(chunk.columns) {
return nil, getError(errAPI, columnCountError(colIdx, len(chunk.columns)))
}
column := &chunk.columns[colIdx]
return column.getFn(column, C.idx_t(rowIdx)), nil
}
// SetValue writes a single value to a column in a data chunk.
// Note that this requires casting the type for each invocation.
// NOTE: Custom ENUM types must be passed as string.
func (chunk *DataChunk) SetValue(colIdx int, rowIdx int, val any) error {
if colIdx >= len(chunk.columns) {
return getError(errAPI, columnCountError(colIdx, len(chunk.columns)))
}
column := &chunk.columns[colIdx]
return column.setFn(column, C.idx_t(rowIdx), val)
}
// SetChunkValue writes a single value to a column in a data chunk.
// The difference with `chunk.SetValue` is that `SetChunkValue` does not
// require casting the value to `any` (implicitly).
// NOTE: Custom ENUM types must be passed as string.
func SetChunkValue[T any](chunk DataChunk, colIdx int, rowIdx int, val T) error {
if colIdx >= len(chunk.columns) {
return getError(errAPI, columnCountError(colIdx, len(chunk.columns)))
}
return setVectorVal(&chunk.columns[colIdx], C.idx_t(rowIdx), val)
}
func (chunk *DataChunk) initFromTypes(ptr unsafe.Pointer, types []C.duckdb_logical_type, writable bool) error {
// NOTE: initFromTypes does not initialize the column names.
columnCount := len(types)
// Initialize the callback functions to read and write values.
chunk.columns = make([]vector, columnCount)
var err error
for i := 0; i < columnCount; i++ {
if err = chunk.columns[i].init(types[i], i); err != nil {
break
}
}
if err != nil {
return err
}
logicalTypesPtr := (*C.duckdb_logical_type)(ptr)
chunk.data = C.duckdb_create_data_chunk(logicalTypesPtr, C.idx_t(columnCount))
C.duckdb_data_chunk_set_size(chunk.data, C.duckdb_vector_size())
// Initialize the vectors and their child vectors.
for i := 0; i < columnCount; i++ {
v := C.duckdb_data_chunk_get_vector(chunk.data, C.idx_t(i))
chunk.columns[i].initVectors(v, writable)
}
return nil
}
func (chunk *DataChunk) initFromDuckDataChunk(data C.duckdb_data_chunk, writable bool) error {
columnCount := int(C.duckdb_data_chunk_get_column_count(data))
chunk.columns = make([]vector, columnCount)
chunk.data = data
var err error
for i := 0; i < columnCount; i++ {
duckdbVector := C.duckdb_data_chunk_get_vector(data, C.idx_t(i))
// Initialize the callback functions to read and write values.
logicalType := C.duckdb_vector_get_column_type(duckdbVector)
err = chunk.columns[i].init(logicalType, i)
C.duckdb_destroy_logical_type(&logicalType)
if err != nil {
break
}
// Initialize the vector and its child vectors.
chunk.columns[i].initVectors(duckdbVector, writable)
}
chunk.GetSize()
return err
}
func (chunk *DataChunk) initFromDuckVector(duckdbVector C.duckdb_vector, writable bool) error {
columnCount := 1
chunk.columns = make([]vector, columnCount)
// Initialize the callback functions to read and write values.
logicalType := C.duckdb_vector_get_column_type(duckdbVector)
err := chunk.columns[0].init(logicalType, 0)
C.duckdb_destroy_logical_type(&logicalType)
if err != nil {
return err
}
// Initialize the vector and its child vectors.
chunk.columns[0].initVectors(duckdbVector, writable)
return nil
}
func (chunk *DataChunk) close() {
C.duckdb_destroy_data_chunk(&chunk.data)
}