public long GetInt64(int columnIndex)
{
CheckType(columnIndex, KuduTypeFlags.Int64 | KuduTypeFlags.UnixtimeMicros);
CheckValue(columnIndex);
ReadOnlySpan <byte> data = GetRowAllocColumn(columnIndex, 8);
return(KuduEncoder.DecodeInt64(data));
}
/// <summary>
/// Increments the column at the given index, returning false if the
/// value is already the maximum.
/// </summary>
/// <param name="index">The column index to increment.</param>
internal bool IncrementColumn(int index)
{
if (!IsSet(index))
{
throw new ArgumentException($"Column index {index} has not been set.");
}
ColumnSchema column = Schema.GetColumn(index);
if (column.IsFixedSize)
{
KuduType type = column.Type;
Span <byte> data = GetRowAllocColumn(index, column.Size);
switch (type)
{
case KuduType.Bool:
{
bool isFalse = data[0] == 0;
data[0] = 1;
return(isFalse);
}
case KuduType.Int8:
{
sbyte existing = KuduEncoder.DecodeInt8(data);
if (existing == sbyte.MaxValue)
{
return(false);
}
KuduEncoder.EncodeInt8(data, (sbyte)(existing + 1));
return(true);
}
case KuduType.Int16:
{
short existing = KuduEncoder.DecodeInt16(data);
if (existing == short.MaxValue)
{
return(false);
}
KuduEncoder.EncodeInt16(data, (short)(existing + 1));
return(true);
}
case KuduType.Int32:
{
int existing = KuduEncoder.DecodeInt32(data);
if (existing == int.MaxValue)
{
return(false);
}
KuduEncoder.EncodeInt32(data, existing + 1);
return(true);
}
case KuduType.Date:
{
int existing = KuduEncoder.DecodeInt32(data);
if (existing == EpochTime.MaxDateValue)
{
return(false);
}
KuduEncoder.EncodeInt32(data, existing + 1);
return(true);
}
case KuduType.Int64:
case KuduType.UnixtimeMicros:
{
long existing = KuduEncoder.DecodeInt64(data);
if (existing == long.MaxValue)
{
return(false);
}
KuduEncoder.EncodeInt64(data, existing + 1);
return(true);
}
case KuduType.Float:
{
float existing = KuduEncoder.DecodeFloat(data);
float incremented = existing.NextUp();
if (existing == incremented)
{
return(false);
}
KuduEncoder.EncodeFloat(data, incremented);
return(true);
}
case KuduType.Double:
{
double existing = KuduEncoder.DecodeDouble(data);
double incremented = existing.NextUp();
if (existing == incremented)
{
return(false);
}
KuduEncoder.EncodeDouble(data, incremented);
return(true);
}
case KuduType.Decimal32:
{
int existing = KuduEncoder.DecodeInt32(data);
int precision = column.TypeAttributes !.Precision.GetValueOrDefault();
if (existing == DecimalUtil.MaxDecimal32(precision))
{
return(false);
}
KuduEncoder.EncodeInt32(data, existing + 1);
return(true);
}
case KuduType.Decimal64:
{
long existing = KuduEncoder.DecodeInt64(data);
int precision = column.TypeAttributes !.Precision.GetValueOrDefault();
if (existing == DecimalUtil.MaxDecimal64(precision))
{
return(false);
}
KuduEncoder.EncodeInt64(data, existing + 1);
return(true);
}
case KuduType.Decimal128:
{
KuduInt128 existing = KuduEncoder.DecodeInt128(data);
int precision = column.TypeAttributes !.Precision.GetValueOrDefault();
if (existing == DecimalUtil.MaxDecimal128(precision))
{
return(false);
}
KuduEncoder.EncodeInt128(data, existing + 1);
return(true);
}
default:
throw new Exception($"Unsupported data type {type}");
}
}
else
{
// Column is either string, binary, or varchar.
ReadOnlySpan <byte> data = GetVarLengthColumn(index);
var incremented = new byte[data.Length + 1];
data.CopyTo(incremented);
WriteBinary(index, incremented);
return(true);
}
}
// Used to convert the rowwise data to the newer columnar format,
// to avoid virtual calls on ResultSet.
// This is only used if the Kudu server is 1.11 or older.
public static ResultSet Convert(
KuduMessage message,
KuduSchema schema,
RowwiseRowBlockPB rowPb)
{
var numColumns = schema.Columns.Count;
int columnOffsetsSize = numColumns;
if (schema.HasNullableColumns)
{
columnOffsetsSize++;
}
var columnOffsets = new int[columnOffsetsSize];
int currentOffset = 0;
columnOffsets[0] = currentOffset;
// Pre-compute the columns offsets in rowData for easier lookups later.
// If the schema has nullables, we also add the offset for the null bitmap at the end.
for (int i = 1; i < columnOffsetsSize; i++)
{
ColumnSchema column = schema.GetColumn(i - 1);
int previousSize = column.Size;
columnOffsets[i] = previousSize + currentOffset;
currentOffset += previousSize;
}
var rowData = GetRowData(message, rowPb);
var indirectData = GetIndirectData(message, rowPb);
int nonNullBitmapOffset = columnOffsets[columnOffsets.Length - 1];
int rowSize = schema.RowSize;
int numRows = rowPb.NumRows;
var dataSidecarOffsets = new SidecarOffset[numColumns];
var varlenDataSidecarOffsets = new SidecarOffset[numColumns];
var nonNullBitmapSidecarOffsets = new SidecarOffset[numColumns];
int nonNullBitmapSize = KuduEncoder.BitsToBytes(numRows);
int offset = 0;
for (int i = 0; i < numColumns; i++)
{
var column = schema.GetColumn(i);
var dataSize = column.IsFixedSize
? column.Size * numRows
: (4 * numRows) + 4;
dataSidecarOffsets[i] = new SidecarOffset(offset, dataSize);
offset += dataSize;
if (column.IsNullable)
{
nonNullBitmapSidecarOffsets[i] = new SidecarOffset(offset, nonNullBitmapSize);
offset += nonNullBitmapSize;
}
else
{
nonNullBitmapSidecarOffsets[i] = new SidecarOffset(-1, 0);
}
}
var buffer = new ArrayPoolBuffer <byte>(offset + indirectData.Length);
var data = buffer.Buffer;
data.AsSpan().Clear();
var varlenData = data.AsSpan(offset);
int currentDataOffset = 0;
int currentVarlenOffset = 0;
for (int columnIndex = 0; columnIndex < numColumns; columnIndex++)
{
var column = schema.GetColumn(columnIndex);
var isFixedSize = column.IsFixedSize;
var columnarSize = isFixedSize ? column.Size : 4;
var rowwiseSize = column.Size;
var dataOffset = dataSidecarOffsets[columnIndex];
var nonNullOffset = nonNullBitmapSidecarOffsets[columnIndex].Start;
var dataOutput = data.AsSpan(dataOffset.Start, dataOffset.Length);
for (int rowIndex = 0; rowIndex < numRows; rowIndex++)
{
bool isSet = true;
var rowSlice = rowData.Slice(rowSize * rowIndex, rowSize);
if (nonNullOffset > 0)
{
isSet = !rowSlice.GetBit(nonNullBitmapOffset, columnIndex);
if (isSet)
{
data.SetBit(nonNullOffset, rowIndex);
}
}
if (isSet)
{
if (isFixedSize)
{
var rawData = rowSlice.Slice(currentDataOffset, columnarSize);
rawData.CopyTo(dataOutput);
}
else
{
var offsetData = rowSlice.Slice(currentDataOffset, 8);
var lengthData = rowSlice.Slice(currentDataOffset + 8, 8);
int start = (int)KuduEncoder.DecodeInt64(offsetData);
int length = (int)KuduEncoder.DecodeInt64(lengthData);
var indirectSlice = indirectData.Slice(start, length);
indirectSlice.CopyTo(varlenData);
varlenData = varlenData.Slice(length);
KuduEncoder.EncodeInt32(dataOutput, currentVarlenOffset);
currentVarlenOffset += length;
}
}
dataOutput = dataOutput.Slice(columnarSize);
}
currentDataOffset += rowwiseSize;
if (!isFixedSize)
{
KuduEncoder.EncodeInt32(dataOutput, currentVarlenOffset);
varlenDataSidecarOffsets[columnIndex] = new SidecarOffset(offset, currentVarlenOffset);
offset += currentVarlenOffset;
currentVarlenOffset = 0;
}
}
return(new ResultSet(
buffer,
schema,
numRows,
dataSidecarOffsets,
varlenDataSidecarOffsets,
nonNullBitmapSidecarOffsets));
}
