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23 changes: 23 additions & 0 deletions cpp/src/arrow/compute/exec.cc
Original file line numberDiff line numberDiff line change
Expand Up@@ -33,6 +33,7 @@
#include "arrow/chunked_array.h"
#include "arrow/compute/exec_internal.h"
#include "arrow/compute/function.h"
#include "arrow/compute/function_internal.h"
#include "arrow/compute/kernel.h"
#include "arrow/compute/registry.h"
#include "arrow/datum.h"
Expand DownExpand Up@@ -883,6 +884,7 @@ class ScalarExecutor : public KernelExecutorImpl<ScalarKernel> {
}
}
if (kernel_->mem_allocation == MemAllocation::PREALLOCATE) {
data_preallocated_.clear();
ComputeDataPreallocate(*output_type_.type, &data_preallocated_);
}

Expand DownExpand Up@@ -966,6 +968,7 @@ class VectorExecutor : public KernelExecutorImpl<VectorKernel> {
(kernel_->null_handling != NullHandling::COMPUTED_NO_PREALLOCATE &&
kernel_->null_handling != NullHandling::OUTPUT_NOT_NULL);
if (kernel_->mem_allocation == MemAllocation::PREALLOCATE) {
data_preallocated_.clear();
ComputeDataPreallocate(*output_type_.type, &data_preallocated_);
}

Expand DownExpand Up@@ -1316,5 +1319,25 @@ Result<Datum> CallFunction(const std::string& func_name, const ExecBatch& batch,
return CallFunction(func_name, batch, /*options=*/nullptr, ctx);
}

Result<std::shared_ptr<FunctionExecutor>> GetFunctionExecutor(
const std::string& func_name, std::vector<TypeHolder> in_types,
const FunctionOptions* options, FunctionRegistry* func_registry) {
if (func_registry == NULLPTR) {
func_registry = GetFunctionRegistry();
}
ARROW_ASSIGN_OR_RAISE(std::shared_ptr<const Function> func,
func_registry->GetFunction(func_name));
ARROW_ASSIGN_OR_RAISE(auto func_exec, func->GetBestExecutor(std::move(in_types)));
ARROW_RETURN_NOT_OK(func_exec->Init(options));
return func_exec;
}

Result<std::shared_ptr<FunctionExecutor>> GetFunctionExecutor(
const std::string& func_name, const std::vector<Datum>& args,
const FunctionOptions* options, FunctionRegistry* func_registry) {
ARROW_ASSIGN_OR_RAISE(auto in_types, internal::GetFunctionArgumentTypes(args));
return GetFunctionExecutor(func_name, std::move(in_types), options, func_registry);
}

} // namespace compute
} // namespace arrow
28 changes: 25 additions & 3 deletions cpp/src/arrow/compute/exec.h
Original file line numberDiff line numberDiff line change
Expand Up@@ -47,9 +47,6 @@ class CpuInfo;

namespace compute {

class FunctionOptions;
class FunctionRegistry;

// It seems like 64K might be a good default chunksize to use for execution
// based on the experience of other query processing systems. The current
// default is not to chunk contiguous arrays, though, but this may change in
Expand DownExpand Up@@ -440,5 +437,30 @@ Result<Datum> CallFunction(const std::string& func_name, const ExecBatch& batch,

/// @}

/// \defgroup compute-function-executor One-shot calls to obtain function executors
Comment thread
rtpsw marked this conversation as resolved.
///
/// @{

/// \brief One-shot executor provider for all types of functions.
///
/// This function creates and initializes a `FunctionExecutor` appropriate
/// for the given function name, input types and function options.
ARROW_EXPORT
Result<std::shared_ptr<FunctionExecutor>> GetFunctionExecutor(
const std::string& func_name, std::vector<TypeHolder> in_types,
const FunctionOptions* options = NULLPTR, FunctionRegistry* func_registry = NULLPTR);

/// \brief One-shot executor provider for all types of functions.
///
/// This function creates and initializes a `FunctionExecutor` appropriate
/// for the given function name, input types (taken from the Datum arguments)
/// and function options.
ARROW_EXPORT
Result<std::shared_ptr<FunctionExecutor>> GetFunctionExecutor(
const std::string& func_name, const std::vector<Datum>& args,
const FunctionOptions* options = NULLPTR, FunctionRegistry* func_registry = NULLPTR);

/// @}

} // namespace compute
} // namespace arrow
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ARROW-17613: [C++] Add function execution API for a preconfigured kernel by rtpsw · Pull Request #14043 · apache/arrow · GitHub
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23 changes: 23 additions & 0 deletions cpp/src/arrow/compute/exec.cc
Original file line numberDiff line numberDiff line change
Expand Up@@ -33,6 +33,7 @@
#include "arrow/chunked_array.h"
#include "arrow/compute/exec_internal.h"
#include "arrow/compute/function.h"
#include "arrow/compute/function_internal.h"
#include "arrow/compute/kernel.h"
#include "arrow/compute/registry.h"
#include "arrow/datum.h"
Expand DownExpand Up@@ -883,6 +884,7 @@ class ScalarExecutor : public KernelExecutorImpl<ScalarKernel> {
}
}
if (kernel_->mem_allocation == MemAllocation::PREALLOCATE) {
data_preallocated_.clear();
ComputeDataPreallocate(*output_type_.type, &data_preallocated_);
}

Expand DownExpand Up@@ -966,6 +968,7 @@ class VectorExecutor : public KernelExecutorImpl<VectorKernel> {
(kernel_->null_handling != NullHandling::COMPUTED_NO_PREALLOCATE &&
kernel_->null_handling != NullHandling::OUTPUT_NOT_NULL);
if (kernel_->mem_allocation == MemAllocation::PREALLOCATE) {
data_preallocated_.clear();
ComputeDataPreallocate(*output_type_.type, &data_preallocated_);
}

Expand DownExpand Up@@ -1316,5 +1319,25 @@ Result<Datum> CallFunction(const std::string& func_name, const ExecBatch& batch,
return CallFunction(func_name, batch, /*options=*/nullptr, ctx);
}

Result<std::shared_ptr<FunctionExecutor>> GetFunctionExecutor(
const std::string& func_name, std::vector<TypeHolder> in_types,
const FunctionOptions* options, FunctionRegistry* func_registry) {
if (func_registry == NULLPTR) {
func_registry = GetFunctionRegistry();
}
ARROW_ASSIGN_OR_RAISE(std::shared_ptr<const Function> func,
func_registry->GetFunction(func_name));
ARROW_ASSIGN_OR_RAISE(auto func_exec, func->GetBestExecutor(std::move(in_types)));
ARROW_RETURN_NOT_OK(func_exec->Init(options));
return func_exec;
}

Result<std::shared_ptr<FunctionExecutor>> GetFunctionExecutor(
const std::string& func_name, const std::vector<Datum>& args,
const FunctionOptions* options, FunctionRegistry* func_registry) {
ARROW_ASSIGN_OR_RAISE(auto in_types, internal::GetFunctionArgumentTypes(args));
return GetFunctionExecutor(func_name, std::move(in_types), options, func_registry);
}

} // namespace compute
} // namespace arrow
28 changes: 25 additions & 3 deletions cpp/src/arrow/compute/exec.h
Original file line numberDiff line numberDiff line change
Expand Up@@ -47,9 +47,6 @@ class CpuInfo;

namespace compute {

class FunctionOptions;
class FunctionRegistry;

// It seems like 64K might be a good default chunksize to use for execution
// based on the experience of other query processing systems. The current
// default is not to chunk contiguous arrays, though, but this may change in
Expand DownExpand Up@@ -440,5 +437,30 @@ Result<Datum> CallFunction(const std::string& func_name, const ExecBatch& batch,

/// @}

/// \defgroup compute-function-executor One-shot calls to obtain function executors
Comment thread
rtpsw marked this conversation as resolved.
///
/// @{

/// \brief One-shot executor provider for all types of functions.
///
/// This function creates and initializes a `FunctionExecutor` appropriate
/// for the given function name, input types and function options.
ARROW_EXPORT
Result<std::shared_ptr<FunctionExecutor>> GetFunctionExecutor(
const std::string& func_name, std::vector<TypeHolder> in_types,
const FunctionOptions* options = NULLPTR, FunctionRegistry* func_registry = NULLPTR);

/// \brief One-shot executor provider for all types of functions.
///
/// This function creates and initializes a `FunctionExecutor` appropriate
/// for the given function name, input types (taken from the Datum arguments)
/// and function options.
ARROW_EXPORT
Result<std::shared_ptr<FunctionExecutor>> GetFunctionExecutor(
const std::string& func_name, const std::vector<Datum>& args,
const FunctionOptions* options = NULLPTR, FunctionRegistry* func_registry = NULLPTR);

/// @}

} // namespace compute
} // namespace arrow
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23 changes: 23 additions & 0 deletions cpp/src/arrow/compute/exec.cc
Original file line numberDiff line numberDiff line change
Expand Up@@ -33,6 +33,7 @@
#include "arrow/chunked_array.h"
#include "arrow/compute/exec_internal.h"
#include "arrow/compute/function.h"
#include "arrow/compute/function_internal.h"
#include "arrow/compute/kernel.h"
#include "arrow/compute/registry.h"
#include "arrow/datum.h"
Expand DownExpand Up@@ -883,6 +884,7 @@ class ScalarExecutor : public KernelExecutorImpl<ScalarKernel> {
}
}
if (kernel_->mem_allocation == MemAllocation::PREALLOCATE) {
data_preallocated_.clear();
ComputeDataPreallocate(*output_type_.type, &data_preallocated_);
}

Expand DownExpand Up@@ -966,6 +968,7 @@ class VectorExecutor : public KernelExecutorImpl<VectorKernel> {
(kernel_->null_handling != NullHandling::COMPUTED_NO_PREALLOCATE &&
kernel_->null_handling != NullHandling::OUTPUT_NOT_NULL);
if (kernel_->mem_allocation == MemAllocation::PREALLOCATE) {
data_preallocated_.clear();
ComputeDataPreallocate(*output_type_.type, &data_preallocated_);
}

Expand DownExpand Up@@ -1316,5 +1319,25 @@ Result<Datum> CallFunction(const std::string& func_name, const ExecBatch& batch,
return CallFunction(func_name, batch, /*options=*/nullptr, ctx);
}

Result<std::shared_ptr<FunctionExecutor>> GetFunctionExecutor(
const std::string& func_name, std::vector<TypeHolder> in_types,
const FunctionOptions* options, FunctionRegistry* func_registry) {
if (func_registry == NULLPTR) {
func_registry = GetFunctionRegistry();
}
ARROW_ASSIGN_OR_RAISE(std::shared_ptr<const Function> func,
func_registry->GetFunction(func_name));
ARROW_ASSIGN_OR_RAISE(auto func_exec, func->GetBestExecutor(std::move(in_types)));
ARROW_RETURN_NOT_OK(func_exec->Init(options));
return func_exec;
}

Result<std::shared_ptr<FunctionExecutor>> GetFunctionExecutor(
const std::string& func_name, const std::vector<Datum>& args,
const FunctionOptions* options, FunctionRegistry* func_registry) {
ARROW_ASSIGN_OR_RAISE(auto in_types, internal::GetFunctionArgumentTypes(args));
return GetFunctionExecutor(func_name, std::move(in_types), options, func_registry);
}

} // namespace compute
} // namespace arrow
28 changes: 25 additions & 3 deletions cpp/src/arrow/compute/exec.h
Original file line numberDiff line numberDiff line change
Expand Up@@ -47,9 +47,6 @@ class CpuInfo;

namespace compute {

class FunctionOptions;
class FunctionRegistry;

// It seems like 64K might be a good default chunksize to use for execution
// based on the experience of other query processing systems. The current
// default is not to chunk contiguous arrays, though, but this may change in
Expand DownExpand Up@@ -440,5 +437,30 @@ Result<Datum> CallFunction(const std::string& func_name, const ExecBatch& batch,

/// @}

/// \defgroup compute-function-executor One-shot calls to obtain function executors
Comment thread
rtpsw marked this conversation as resolved.
///
/// @{

/// \brief One-shot executor provider for all types of functions.
///
/// This function creates and initializes a `FunctionExecutor` appropriate
/// for the given function name, input types and function options.
ARROW_EXPORT
Result<std::shared_ptr<FunctionExecutor>> GetFunctionExecutor(
const std::string& func_name, std::vector<TypeHolder> in_types,
const FunctionOptions* options = NULLPTR, FunctionRegistry* func_registry = NULLPTR);

/// \brief One-shot executor provider for all types of functions.
///
/// This function creates and initializes a `FunctionExecutor` appropriate
/// for the given function name, input types (taken from the Datum arguments)
/// and function options.
ARROW_EXPORT
Result<std::shared_ptr<FunctionExecutor>> GetFunctionExecutor(
const std::string& func_name, const std::vector<Datum>& args,
const FunctionOptions* options = NULLPTR, FunctionRegistry* func_registry = NULLPTR);

/// @}

} // namespace compute
} // namespace arrow
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23 changes: 23 additions & 0 deletions cpp/src/arrow/compute/exec.cc
Original file line numberDiff line numberDiff line change
Expand Up@@ -33,6 +33,7 @@
#include "arrow/chunked_array.h"
#include "arrow/compute/exec_internal.h"
#include "arrow/compute/function.h"
#include "arrow/compute/function_internal.h"
#include "arrow/compute/kernel.h"
#include "arrow/compute/registry.h"
#include "arrow/datum.h"
Expand DownExpand Up@@ -883,6 +884,7 @@ class ScalarExecutor : public KernelExecutorImpl<ScalarKernel> {
}
}
if (kernel_->mem_allocation == MemAllocation::PREALLOCATE) {
data_preallocated_.clear();
ComputeDataPreallocate(*output_type_.type, &data_preallocated_);
}

Expand DownExpand Up@@ -966,6 +968,7 @@ class VectorExecutor : public KernelExecutorImpl<VectorKernel> {
(kernel_->null_handling != NullHandling::COMPUTED_NO_PREALLOCATE &&
kernel_->null_handling != NullHandling::OUTPUT_NOT_NULL);
if (kernel_->mem_allocation == MemAllocation::PREALLOCATE) {
data_preallocated_.clear();
ComputeDataPreallocate(*output_type_.type, &data_preallocated_);
}

Expand DownExpand Up@@ -1316,5 +1319,25 @@ Result<Datum> CallFunction(const std::string& func_name, const ExecBatch& batch,
return CallFunction(func_name, batch, /*options=*/nullptr, ctx);
}

Result<std::shared_ptr<FunctionExecutor>> GetFunctionExecutor(
const std::string& func_name, std::vector<TypeHolder> in_types,
const FunctionOptions* options, FunctionRegistry* func_registry) {
if (func_registry == NULLPTR) {
func_registry = GetFunctionRegistry();
}
ARROW_ASSIGN_OR_RAISE(std::shared_ptr<const Function> func,
func_registry->GetFunction(func_name));
ARROW_ASSIGN_OR_RAISE(auto func_exec, func->GetBestExecutor(std::move(in_types)));
ARROW_RETURN_NOT_OK(func_exec->Init(options));
return func_exec;
}

Result<std::shared_ptr<FunctionExecutor>> GetFunctionExecutor(
const std::string& func_name, const std::vector<Datum>& args,
const FunctionOptions* options, FunctionRegistry* func_registry) {
ARROW_ASSIGN_OR_RAISE(auto in_types, internal::GetFunctionArgumentTypes(args));
return GetFunctionExecutor(func_name, std::move(in_types), options, func_registry);
}

} // namespace compute
} // namespace arrow
28 changes: 25 additions & 3 deletions cpp/src/arrow/compute/exec.h
Original file line numberDiff line numberDiff line change
Expand Up@@ -47,9 +47,6 @@ class CpuInfo;

namespace compute {

class FunctionOptions;
class FunctionRegistry;

// It seems like 64K might be a good default chunksize to use for execution
// based on the experience of other query processing systems. The current
// default is not to chunk contiguous arrays, though, but this may change in
Expand DownExpand Up@@ -440,5 +437,30 @@ Result<Datum> CallFunction(const std::string& func_name, const ExecBatch& batch,

/// @}

/// \defgroup compute-function-executor One-shot calls to obtain function executors
Comment thread
rtpsw marked this conversation as resolved.
///
/// @{

/// \brief One-shot executor provider for all types of functions.
///
/// This function creates and initializes a `FunctionExecutor` appropriate
/// for the given function name, input types and function options.
ARROW_EXPORT
Result<std::shared_ptr<FunctionExecutor>> GetFunctionExecutor(
const std::string& func_name, std::vector<TypeHolder> in_types,
const FunctionOptions* options = NULLPTR, FunctionRegistry* func_registry = NULLPTR);

/// \brief One-shot executor provider for all types of functions.
///
/// This function creates and initializes a `FunctionExecutor` appropriate
/// for the given function name, input types (taken from the Datum arguments)
/// and function options.
ARROW_EXPORT
Result<std::shared_ptr<FunctionExecutor>> GetFunctionExecutor(
const std::string& func_name, const std::vector<Datum>& args,
const FunctionOptions* options = NULLPTR, FunctionRegistry* func_registry = NULLPTR);

/// @}

} // namespace compute
} // namespace arrow
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23 changes: 23 additions & 0 deletions cpp/src/arrow/compute/exec.cc
Original file line numberDiff line numberDiff line change
Expand Up@@ -33,6 +33,7 @@
#include "arrow/chunked_array.h"
#include "arrow/compute/exec_internal.h"
#include "arrow/compute/function.h"
#include "arrow/compute/function_internal.h"
#include "arrow/compute/kernel.h"
#include "arrow/compute/registry.h"
#include "arrow/datum.h"
Expand DownExpand Up@@ -883,6 +884,7 @@ class ScalarExecutor : public KernelExecutorImpl<ScalarKernel> {
}
}
if (kernel_->mem_allocation == MemAllocation::PREALLOCATE) {
data_preallocated_.clear();
ComputeDataPreallocate(*output_type_.type, &data_preallocated_);
}

Expand DownExpand Up@@ -966,6 +968,7 @@ class VectorExecutor : public KernelExecutorImpl<VectorKernel> {
(kernel_->null_handling != NullHandling::COMPUTED_NO_PREALLOCATE &&
kernel_->null_handling != NullHandling::OUTPUT_NOT_NULL);
if (kernel_->mem_allocation == MemAllocation::PREALLOCATE) {
data_preallocated_.clear();
ComputeDataPreallocate(*output_type_.type, &data_preallocated_);
}

Expand DownExpand Up@@ -1316,5 +1319,25 @@ Result<Datum> CallFunction(const std::string& func_name, const ExecBatch& batch,
return CallFunction(func_name, batch, /*options=*/nullptr, ctx);
}

Result<std::shared_ptr<FunctionExecutor>> GetFunctionExecutor(
const std::string& func_name, std::vector<TypeHolder> in_types,
const FunctionOptions* options, FunctionRegistry* func_registry) {
if (func_registry == NULLPTR) {
func_registry = GetFunctionRegistry();
}
ARROW_ASSIGN_OR_RAISE(std::shared_ptr<const Function> func,
func_registry->GetFunction(func_name));
ARROW_ASSIGN_OR_RAISE(auto func_exec, func->GetBestExecutor(std::move(in_types)));
ARROW_RETURN_NOT_OK(func_exec->Init(options));
return func_exec;
}

Result<std::shared_ptr<FunctionExecutor>> GetFunctionExecutor(
const std::string& func_name, const std::vector<Datum>& args,
const FunctionOptions* options, FunctionRegistry* func_registry) {
ARROW_ASSIGN_OR_RAISE(auto in_types, internal::GetFunctionArgumentTypes(args));
return GetFunctionExecutor(func_name, std::move(in_types), options, func_registry);
}

} // namespace compute
} // namespace arrow
28 changes: 25 additions & 3 deletions cpp/src/arrow/compute/exec.h
Original file line numberDiff line numberDiff line change
Expand Up@@ -47,9 +47,6 @@ class CpuInfo;

namespace compute {

class FunctionOptions;
class FunctionRegistry;

// It seems like 64K might be a good default chunksize to use for execution
// based on the experience of other query processing systems. The current
// default is not to chunk contiguous arrays, though, but this may change in
Expand DownExpand Up@@ -440,5 +437,30 @@ Result<Datum> CallFunction(const std::string& func_name, const ExecBatch& batch,

/// @}

/// \defgroup compute-function-executor One-shot calls to obtain function executors
Comment thread
rtpsw marked this conversation as resolved.
///
/// @{

/// \brief One-shot executor provider for all types of functions.
///
/// This function creates and initializes a `FunctionExecutor` appropriate
/// for the given function name, input types and function options.
ARROW_EXPORT
Result<std::shared_ptr<FunctionExecutor>> GetFunctionExecutor(
const std::string& func_name, std::vector<TypeHolder> in_types,
const FunctionOptions* options = NULLPTR, FunctionRegistry* func_registry = NULLPTR);

/// \brief One-shot executor provider for all types of functions.
///
/// This function creates and initializes a `FunctionExecutor` appropriate
/// for the given function name, input types (taken from the Datum arguments)
/// and function options.
ARROW_EXPORT
Result<std::shared_ptr<FunctionExecutor>> GetFunctionExecutor(
const std::string& func_name, const std::vector<Datum>& args,
const FunctionOptions* options = NULLPTR, FunctionRegistry* func_registry = NULLPTR);

/// @}

} // namespace compute
} // namespace arrow
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23 changes: 23 additions & 0 deletions cpp/src/arrow/compute/exec.cc
Original file line numberDiff line numberDiff line change
Expand Up@@ -33,6 +33,7 @@
#include "arrow/chunked_array.h"
#include "arrow/compute/exec_internal.h"
#include "arrow/compute/function.h"
#include "arrow/compute/function_internal.h"
#include "arrow/compute/kernel.h"
#include "arrow/compute/registry.h"
#include "arrow/datum.h"
Expand DownExpand Up@@ -883,6 +884,7 @@ class ScalarExecutor : public KernelExecutorImpl<ScalarKernel> {
}
}
if (kernel_->mem_allocation == MemAllocation::PREALLOCATE) {
data_preallocated_.clear();
ComputeDataPreallocate(*output_type_.type, &data_preallocated_);
}

Expand DownExpand Up@@ -966,6 +968,7 @@ class VectorExecutor : public KernelExecutorImpl<VectorKernel> {
(kernel_->null_handling != NullHandling::COMPUTED_NO_PREALLOCATE &&
kernel_->null_handling != NullHandling::OUTPUT_NOT_NULL);
if (kernel_->mem_allocation == MemAllocation::PREALLOCATE) {
data_preallocated_.clear();
ComputeDataPreallocate(*output_type_.type, &data_preallocated_);
}

Expand DownExpand Up@@ -1316,5 +1319,25 @@ Result<Datum> CallFunction(const std::string& func_name, const ExecBatch& batch,
return CallFunction(func_name, batch, /*options=*/nullptr, ctx);
}

Result<std::shared_ptr<FunctionExecutor>> GetFunctionExecutor(
const std::string& func_name, std::vector<TypeHolder> in_types,
const FunctionOptions* options, FunctionRegistry* func_registry) {
if (func_registry == NULLPTR) {
func_registry = GetFunctionRegistry();
}
ARROW_ASSIGN_OR_RAISE(std::shared_ptr<const Function> func,
func_registry->GetFunction(func_name));
ARROW_ASSIGN_OR_RAISE(auto func_exec, func->GetBestExecutor(std::move(in_types)));
ARROW_RETURN_NOT_OK(func_exec->Init(options));
return func_exec;
}

Result<std::shared_ptr<FunctionExecutor>> GetFunctionExecutor(
const std::string& func_name, const std::vector<Datum>& args,
const FunctionOptions* options, FunctionRegistry* func_registry) {
ARROW_ASSIGN_OR_RAISE(auto in_types, internal::GetFunctionArgumentTypes(args));
return GetFunctionExecutor(func_name, std::move(in_types), options, func_registry);
}

} // namespace compute
} // namespace arrow
28 changes: 25 additions & 3 deletions cpp/src/arrow/compute/exec.h
Original file line numberDiff line numberDiff line change
Expand Up@@ -47,9 +47,6 @@ class CpuInfo;

namespace compute {

class FunctionOptions;
class FunctionRegistry;

// It seems like 64K might be a good default chunksize to use for execution
// based on the experience of other query processing systems. The current
// default is not to chunk contiguous arrays, though, but this may change in
Expand DownExpand Up@@ -440,5 +437,30 @@ Result<Datum> CallFunction(const std::string& func_name, const ExecBatch& batch,

/// @}

/// \defgroup compute-function-executor One-shot calls to obtain function executors
Comment thread
rtpsw marked this conversation as resolved.
///
/// @{

/// \brief One-shot executor provider for all types of functions.
///
/// This function creates and initializes a `FunctionExecutor` appropriate
/// for the given function name, input types and function options.
ARROW_EXPORT
Result<std::shared_ptr<FunctionExecutor>> GetFunctionExecutor(
const std::string& func_name, std::vector<TypeHolder> in_types,
const FunctionOptions* options = NULLPTR, FunctionRegistry* func_registry = NULLPTR);

/// \brief One-shot executor provider for all types of functions.
///
/// This function creates and initializes a `FunctionExecutor` appropriate
/// for the given function name, input types (taken from the Datum arguments)
/// and function options.
ARROW_EXPORT
Result<std::shared_ptr<FunctionExecutor>> GetFunctionExecutor(
const std::string& func_name, const std::vector<Datum>& args,
const FunctionOptions* options = NULLPTR, FunctionRegistry* func_registry = NULLPTR);

/// @}

} // namespace compute
} // namespace arrow
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23 changes: 23 additions & 0 deletions cpp/src/arrow/compute/exec.cc
Original file line numberDiff line numberDiff line change
Expand Up@@ -33,6 +33,7 @@
#include "arrow/chunked_array.h"
#include "arrow/compute/exec_internal.h"
#include "arrow/compute/function.h"
#include "arrow/compute/function_internal.h"
#include "arrow/compute/kernel.h"
#include "arrow/compute/registry.h"
#include "arrow/datum.h"
Expand DownExpand Up@@ -883,6 +884,7 @@ class ScalarExecutor : public KernelExecutorImpl<ScalarKernel> {
}
}
if (kernel_->mem_allocation == MemAllocation::PREALLOCATE) {
data_preallocated_.clear();
ComputeDataPreallocate(*output_type_.type, &data_preallocated_);
}

Expand DownExpand Up@@ -966,6 +968,7 @@ class VectorExecutor : public KernelExecutorImpl<VectorKernel> {
(kernel_->null_handling != NullHandling::COMPUTED_NO_PREALLOCATE &&
kernel_->null_handling != NullHandling::OUTPUT_NOT_NULL);
if (kernel_->mem_allocation == MemAllocation::PREALLOCATE) {
data_preallocated_.clear();
ComputeDataPreallocate(*output_type_.type, &data_preallocated_);
}

Expand DownExpand Up@@ -1316,5 +1319,25 @@ Result<Datum> CallFunction(const std::string& func_name, const ExecBatch& batch,
return CallFunction(func_name, batch, /*options=*/nullptr, ctx);
}

Result<std::shared_ptr<FunctionExecutor>> GetFunctionExecutor(
const std::string& func_name, std::vector<TypeHolder> in_types,
const FunctionOptions* options, FunctionRegistry* func_registry) {
if (func_registry == NULLPTR) {
func_registry = GetFunctionRegistry();
}
ARROW_ASSIGN_OR_RAISE(std::shared_ptr<const Function> func,
func_registry->GetFunction(func_name));
ARROW_ASSIGN_OR_RAISE(auto func_exec, func->GetBestExecutor(std::move(in_types)));
ARROW_RETURN_NOT_OK(func_exec->Init(options));
return func_exec;
}

Result<std::shared_ptr<FunctionExecutor>> GetFunctionExecutor(
const std::string& func_name, const std::vector<Datum>& args,
const FunctionOptions* options, FunctionRegistry* func_registry) {
ARROW_ASSIGN_OR_RAISE(auto in_types, internal::GetFunctionArgumentTypes(args));
return GetFunctionExecutor(func_name, std::move(in_types), options, func_registry);
}

} // namespace compute
} // namespace arrow
28 changes: 25 additions & 3 deletions cpp/src/arrow/compute/exec.h
Original file line numberDiff line numberDiff line change
Expand Up@@ -47,9 +47,6 @@ class CpuInfo;

namespace compute {

class FunctionOptions;
class FunctionRegistry;

// It seems like 64K might be a good default chunksize to use for execution
// based on the experience of other query processing systems. The current
// default is not to chunk contiguous arrays, though, but this may change in
Expand DownExpand Up@@ -440,5 +437,30 @@ Result<Datum> CallFunction(const std::string& func_name, const ExecBatch& batch,

/// @}

/// \defgroup compute-function-executor One-shot calls to obtain function executors
Comment thread
rtpsw marked this conversation as resolved.
///
/// @{

/// \brief One-shot executor provider for all types of functions.
///
/// This function creates and initializes a `FunctionExecutor` appropriate
/// for the given function name, input types and function options.
ARROW_EXPORT
Result<std::shared_ptr<FunctionExecutor>> GetFunctionExecutor(
const std::string& func_name, std::vector<TypeHolder> in_types,
const FunctionOptions* options = NULLPTR, FunctionRegistry* func_registry = NULLPTR);

/// \brief One-shot executor provider for all types of functions.
///
/// This function creates and initializes a `FunctionExecutor` appropriate
/// for the given function name, input types (taken from the Datum arguments)
/// and function options.
ARROW_EXPORT
Result<std::shared_ptr<FunctionExecutor>> GetFunctionExecutor(
const std::string& func_name, const std::vector<Datum>& args,
const FunctionOptions* options = NULLPTR, FunctionRegistry* func_registry = NULLPTR);

/// @}

} // namespace compute
} // namespace arrow
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23 changes: 23 additions & 0 deletions cpp/src/arrow/compute/exec.cc
Original file line numberDiff line numberDiff line change
Expand Up@@ -33,6 +33,7 @@
#include "arrow/chunked_array.h"
#include "arrow/compute/exec_internal.h"
#include "arrow/compute/function.h"
#include "arrow/compute/function_internal.h"
#include "arrow/compute/kernel.h"
#include "arrow/compute/registry.h"
#include "arrow/datum.h"
Expand DownExpand Up@@ -883,6 +884,7 @@ class ScalarExecutor : public KernelExecutorImpl<ScalarKernel> {
}
}
if (kernel_->mem_allocation == MemAllocation::PREALLOCATE) {
data_preallocated_.clear();
ComputeDataPreallocate(*output_type_.type, &data_preallocated_);
}

Expand DownExpand Up@@ -966,6 +968,7 @@ class VectorExecutor : public KernelExecutorImpl<VectorKernel> {
(kernel_->null_handling != NullHandling::COMPUTED_NO_PREALLOCATE &&
kernel_->null_handling != NullHandling::OUTPUT_NOT_NULL);
if (kernel_->mem_allocation == MemAllocation::PREALLOCATE) {
data_preallocated_.clear();
ComputeDataPreallocate(*output_type_.type, &data_preallocated_);
}

Expand DownExpand Up@@ -1316,5 +1319,25 @@ Result<Datum> CallFunction(const std::string& func_name, const ExecBatch& batch,
return CallFunction(func_name, batch, /*options=*/nullptr, ctx);
}

Result<std::shared_ptr<FunctionExecutor>> GetFunctionExecutor(
const std::string& func_name, std::vector<TypeHolder> in_types,
const FunctionOptions* options, FunctionRegistry* func_registry) {
if (func_registry == NULLPTR) {
func_registry = GetFunctionRegistry();
}
ARROW_ASSIGN_OR_RAISE(std::shared_ptr<const Function> func,
func_registry->GetFunction(func_name));
ARROW_ASSIGN_OR_RAISE(auto func_exec, func->GetBestExecutor(std::move(in_types)));
ARROW_RETURN_NOT_OK(func_exec->Init(options));
return func_exec;
}

Result<std::shared_ptr<FunctionExecutor>> GetFunctionExecutor(
const std::string& func_name, const std::vector<Datum>& args,
const FunctionOptions* options, FunctionRegistry* func_registry) {
ARROW_ASSIGN_OR_RAISE(auto in_types, internal::GetFunctionArgumentTypes(args));
return GetFunctionExecutor(func_name, std::move(in_types), options, func_registry);
}

} // namespace compute
} // namespace arrow
28 changes: 25 additions & 3 deletions cpp/src/arrow/compute/exec.h
Original file line numberDiff line numberDiff line change
Expand Up@@ -47,9 +47,6 @@ class CpuInfo;

namespace compute {

class FunctionOptions;
class FunctionRegistry;

// It seems like 64K might be a good default chunksize to use for execution
// based on the experience of other query processing systems. The current
// default is not to chunk contiguous arrays, though, but this may change in
Expand DownExpand Up@@ -440,5 +437,30 @@ Result<Datum> CallFunction(const std::string& func_name, const ExecBatch& batch,

/// @}

/// \defgroup compute-function-executor One-shot calls to obtain function executors
Comment thread
rtpsw marked this conversation as resolved.
///
/// @{

/// \brief One-shot executor provider for all types of functions.
///
/// This function creates and initializes a `FunctionExecutor` appropriate
/// for the given function name, input types and function options.
ARROW_EXPORT
Result<std::shared_ptr<FunctionExecutor>> GetFunctionExecutor(
const std::string& func_name, std::vector<TypeHolder> in_types,
const FunctionOptions* options = NULLPTR, FunctionRegistry* func_registry = NULLPTR);

/// \brief One-shot executor provider for all types of functions.
///
/// This function creates and initializes a `FunctionExecutor` appropriate
/// for the given function name, input types (taken from the Datum arguments)
/// and function options.
ARROW_EXPORT
Result<std::shared_ptr<FunctionExecutor>> GetFunctionExecutor(
const std::string& func_name, const std::vector<Datum>& args,
const FunctionOptions* options = NULLPTR, FunctionRegistry* func_registry = NULLPTR);

/// @}

} // namespace compute
} // namespace arrow
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