enhance: [StorageV2] zero copy for packed writer record batch (#43779)

The Out of Memory (OOM) error occurs because a handler retains the
entire ImportRecordBatch in memory. Consequently, even when child arrays
within the batch are flushed, the memory for the complete batch is not
released. We temporarily fixed by deep copying record batch in #43724.

The proposed fix is to split the RecordBatch into smaller sub-batches by
column group. These sub-batches will be transferred via CGO, then
reassembled before being written to storage using the Storage V2 API.
Thus we can achieve zero-copy and only transferring references in CGO.

related: #43310

Signed-off-by: shaoting-huang <shaoting.huang@zilliz.com>
This commit is contained in:
sthuang 2025-08-15 10:11:44 +08:00 committed by GitHub
parent 4663b9a243
commit c102fa8b0b
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5 changed files with 47 additions and 53 deletions

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@ -29,43 +29,6 @@
#include "common/type_c.h"
#include "monitor/scope_metric.h"
// Deep copy ArrowArray and return a copied RecordBatch
// This function creates a complete deep copy of the ArrowArray and returns it as a RecordBatch
static std::shared_ptr<arrow::RecordBatch>
ArrowArrayDeepCopyToRecordBatch(const struct ArrowArray* src,
const struct ArrowSchema* schema) {
AssertInfo(src != nullptr, "[StorageV2] Source ArrowArray is null");
AssertInfo(schema != nullptr, "[StorageV2] Source ArrowSchema is null");
auto record_batch =
arrow::ImportRecordBatch(const_cast<struct ArrowArray*>(src),
const_cast<struct ArrowSchema*>(schema))
.ValueOrDie();
// Get the default CPU memory manager for deep copy
auto memory_manager = arrow::default_cpu_memory_manager();
// For true deep copy, we'll use Arrow's CopyTo() function
std::vector<std::shared_ptr<arrow::Array>> copied_arrays;
for (int i = 0; i < record_batch->num_columns(); i++) {
auto original_array = record_batch->column(i);
auto copied_data_result =
original_array->data()->CopyTo(memory_manager);
AssertInfo(copied_data_result.ok(),
"[StorageV2] Failed to deep copy array data: {}",
copied_data_result.status().ToString());
auto copied_data = copied_data_result.ValueOrDie();
auto copied_array = arrow::MakeArray(copied_data);
copied_arrays.push_back(copied_array);
}
// Create and return a new RecordBatch with the copied arrays
return arrow::RecordBatch::Make(
record_batch->schema(), record_batch->num_rows(), copied_arrays);
}
CStatus
NewPackedWriterWithStorageConfig(struct ArrowSchema* schema,
const int64_t buffer_size,
@ -174,7 +137,8 @@ NewPackedWriter(struct ArrowSchema* schema,
CStatus
WriteRecordBatch(CPackedWriter c_packed_writer,
struct ArrowArray* array,
struct ArrowArray* arrays,
struct ArrowSchema* array_schemas,
struct ArrowSchema* schema) {
SCOPE_CGO_CALL_METRIC();
@ -183,12 +147,29 @@ WriteRecordBatch(CPackedWriter c_packed_writer,
static_cast<milvus_storage::PackedRecordBatchWriter*>(
c_packed_writer);
// Deep copy the ArrowArray and get a copied RecordBatch
auto record_batch = ArrowArrayDeepCopyToRecordBatch(array, schema);
if (record_batch == nullptr) {
auto import_schema = arrow::ImportSchema(schema);
if (!import_schema.ok()) {
return milvus::FailureCStatus(milvus::ErrorCode::FileWriteFailed,
"Failed to copy ArrowArray");
"Failed to import schema: " + import_schema.status().ToString());
}
auto arrow_schema = import_schema.ValueOrDie();
int num_fields = arrow_schema->num_fields();
std::vector<std::shared_ptr<arrow::Array>> all_arrays;
all_arrays.reserve(num_fields);
for (int i = 0; i < num_fields; i++) {
auto array = arrow::ImportArray(&arrays[i], &array_schemas[i]);
if (!array.ok()) {
return milvus::FailureCStatus(milvus::ErrorCode::FileWriteFailed,
"Failed to import array " + std::to_string(i) + ": " + array.status().ToString());
}
all_arrays.push_back(array.ValueOrDie());
}
auto record_batch = arrow::RecordBatch::Make(
arrow_schema, all_arrays[0]->length(), all_arrays);
auto status = packed_writer->Write(record_batch);
if (!status.ok()) {
return milvus::FailureCStatus(milvus::ErrorCode::FileWriteFailed,

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@ -45,7 +45,8 @@ NewPackedWriter(struct ArrowSchema* schema,
CStatus
WriteRecordBatch(CPackedWriter c_packed_writer,
struct ArrowArray* array,
struct ArrowArray* arrays,
struct ArrowSchema* array_schemas,
struct ArrowSchema* schema);
CStatus

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@ -46,11 +46,15 @@ TEST(CPackedTest, PackedWriterAndReader) {
false,
arrow::key_value_metadata(
{milvus_storage::ARROW_FIELD_ID_KEY}, {"100"}))});
auto origin_schema = arrow::schema({schema->fields()[0]->Copy()});
auto batch = arrow::RecordBatch::Make(schema, array->length(), {array});
struct ArrowSchema c_write_schema;
ASSERT_TRUE(arrow::ExportSchema(*schema, &c_write_schema).ok());
struct ArrowSchema c_origin_schema;
ASSERT_TRUE(arrow::ExportSchema(*origin_schema, &c_origin_schema).ok());
const int64_t buffer_size = 10 * 1024 * 1024;
char* path = const_cast<char*>("/tmp");
char* paths[] = {const_cast<char*>("/tmp/0")};
@ -77,7 +81,10 @@ TEST(CPackedTest, PackedWriterAndReader) {
struct ArrowSchema cschema;
ASSERT_TRUE(arrow::ExportRecordBatch(*batch, &carray, &cschema).ok());
c_status = WriteRecordBatch(c_packed_writer, &carray, &cschema);
struct ArrowArray arrays[] = {carray};
struct ArrowSchema array_schemas[] = {cschema};
c_status = WriteRecordBatch(c_packed_writer, arrays, array_schemas, &c_origin_schema);
EXPECT_EQ(c_status.error_code, 0);
c_status = CloseWriter(c_packed_writer);

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@ -114,17 +114,22 @@ func NewPackedWriter(filePaths []string, schema *arrow.Schema, bufferSize int64,
}
func (pw *PackedWriter) WriteRecordBatch(recordBatch arrow.Record) error {
cArrays := make([]CArrowArray, recordBatch.NumCols())
cSchemas := make([]CArrowSchema, recordBatch.NumCols())
for i := range recordBatch.NumCols() {
var caa cdata.CArrowArray
var cas cdata.CArrowSchema
cdata.ExportArrowArray(recordBatch.Column(int(i)), &caa, &cas)
cArrays[i] = *(*CArrowArray)(unsafe.Pointer(&caa))
cSchemas[i] = *(*CArrowSchema)(unsafe.Pointer(&cas))
}
cdata.ExportArrowRecordBatch(recordBatch, &caa, &cas)
cArr := (*C.struct_ArrowArray)(unsafe.Pointer(&caa))
var cas cdata.CArrowSchema
cdata.ExportArrowSchema(recordBatch.Schema(), &cas)
cSchema := (*C.struct_ArrowSchema)(unsafe.Pointer(&cas))
defer cdata.ReleaseCArrowSchema(&cas)
defer cdata.ReleaseCArrowArray(&caa)
status := C.WriteRecordBatch(pw.cPackedWriter, cArr, cSchema)
status := C.WriteRecordBatch(pw.cPackedWriter, &cArrays[0], &cSchemas[0], cSchema)
if err := ConsumeCStatusIntoError(&status); err != nil {
return err
}

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@ -203,6 +203,6 @@ func (s *TestArrayStructSuite) TestGetVector_ArrayStruct_FloatVector() {
}
func TestGetVectorArrayStruct(t *testing.T) {
// t.Skip("Skip integration test, need to refactor integration test framework.")
t.Skip("Skip integration test, need to refactor integration test framework.")
suite.Run(t, new(TestArrayStructSuite))
}