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21 changes: 11 additions & 10 deletions cpp/src/arrow/compute/exec/hash_join_node.cc
Original file line numberDiff line numberDiff line change
Expand Up@@ -634,16 +634,17 @@ class HashJoinNode : public ExecNode {
Status ScheduleTaskCallback(std::function<Status(size_t)> func) {
auto executor = plan_->exec_context()->executor();
if (executor) {
ARROW_ASSIGN_OR_RAISE(auto task_fut, executor->Submit([this, func] {
size_t thread_index = thread_indexer_();
Status status = func(thread_index);
if (!status.ok()) {
StopProducing();
ErrorIfNotOk(status);
return;
}
}));
return task_group_.AddTask(task_fut);
return task_group_.AddTask([this, executor, func] {
return DeferNotOk(executor->Submit([this, func] {
size_t thread_index = thread_indexer_();
Status status = func(thread_index);
if (!status.ok()) {
StopProducing();
ErrorIfNotOk(status);
return;
}
}));
});
} else {
// We should not get here in serial execution mode
ARROW_DCHECK(false);
Expand Down
29 changes: 16 additions & 13 deletions python/pyarrow/_exec_plan.pyx
Original file line numberDiff line numberDiff line change
Expand Up@@ -27,7 +27,7 @@ from cython.operator cimport dereference as deref, preincrement as inc
from pyarrow.includes.common cimport *
from pyarrow.includes.libarrow cimport *
from pyarrow.includes.libarrow_dataset cimport *
from pyarrow.lib cimport (Table, pyarrow_unwrap_table, pyarrow_wrap_table)
from pyarrow.lib cimport (Table, check_status, pyarrow_unwrap_table, pyarrow_wrap_table)
from pyarrow.lib import tobytes
from pyarrow._compute cimport Expression, _true
from pyarrow._dataset cimport Dataset
Expand DownExpand Up@@ -56,29 +56,29 @@ cdef execplan(inputs, output_type, vector[CDeclaration] plan, c_bool use_threads
"""
cdef:
CExecutor *c_executor
shared_ptr[CThreadPool] c_executor_sptr
shared_ptr[CExecContext] c_exec_context
shared_ptr[CExecPlan] c_exec_plan
vector[CDeclaration] c_decls
vector[CExecNode*] _empty
vector[CExecNode*] c_final_node_vec
CExecNode *c_node
CTable* c_table
shared_ptr[CTable] c_in_table
shared_ptr[CTable] c_out_table
shared_ptr[CSourceNodeOptions] c_sourceopts
shared_ptr[CTableSourceNodeOptions] c_tablesourceopts
shared_ptr[CScanNodeOptions] c_scanopts
shared_ptr[CExecNodeOptions] c_input_node_opts
shared_ptr[CSinkNodeOptions] c_sinkopts
shared_ptr[CAsyncExecBatchGenerator] c_async_exec_batch_gen
shared_ptr[CRecordBatchReader] c_recordbatchreader
vector[CDeclaration].iterator plan_iter
vector[CDeclaration.Input] no_c_inputs
CStatus c_plan_status

if use_threads:
c_executor = GetCpuThreadPool()
else:
c_executor_sptr = GetResultValue(CThreadPool.Make(1))
c_executor = c_executor_sptr.get()
c_executor = NULL

c_exec_context = make_shared[CExecContext](
c_default_memory_pool(), c_executor)
Expand All@@ -89,12 +89,12 @@ cdef execplan(inputs, output_type, vector[CDeclaration] plan, c_bool use_threads
# Create source nodes for each input
for ipt in inputs:
if isinstance(ipt, Table):
node_factory = "source"
c_in_table = pyarrow_unwrap_table(ipt).get()
c_sourceopts = GetResultValue(
CSourceNodeOptions.FromTable(deref(c_in_table), deref(c_exec_context).executor()))
c_input_node_opts = static_pointer_cast[CExecNodeOptions, CSourceNodeOptions](
c_sourceopts)
node_factory = "table_source"
c_in_table = pyarrow_unwrap_table(ipt)
c_tablesourceopts = make_shared[CTableSourceNodeOptions](
c_in_table, 1 << 20)
c_input_node_opts = static_pointer_cast[CExecNodeOptions, CTableSourceNodeOptions](
c_tablesourceopts)
elif isinstance(ipt, Dataset):
node_factory = "scan"
c_in_dataset = (<Dataset>ipt).unwrap()
Expand DownExpand Up@@ -157,7 +157,9 @@ cdef execplan(inputs, output_type, vector[CDeclaration] plan, c_bool use_threads
else:
raise TypeError("Unsupported output type")

deref(c_exec_plan).StopProducing()
with nogil:
c_plan_status = deref(c_exec_plan).finished().status()
check_status(c_plan_status)

return output

Expand DownExpand Up@@ -345,6 +347,7 @@ def _perform_join(join_type, left_operand not None, left_keys,

result_table = execplan([left_operand, right_operand],
plan=c_decl_plan,
output_type=output_type)
output_type=output_type,
use_threads=use_threads)

return result_table
12 changes: 9 additions & 3 deletions python/pyarrow/includes/libarrow.pxd
Original file line numberDiff line numberDiff line change
Expand Up@@ -81,6 +81,11 @@ cdef extern from "arrow/config.h" namespace "arrow" nogil:
CRuntimeInfo GetRuntimeInfo()


cdef extern from "arrow/util/future.h" namespace "arrow" nogil:
cdef cppclass CFuture_Void" arrow::Future<>":
CStatus status()


cdef extern from "arrow/api.h" namespace "arrow" nogil:
cdef enum Type" arrow::Type::type":
_Type_NA" arrow::Type::NA"
Expand DownExpand Up@@ -2442,9 +2447,8 @@ cdef extern from "arrow/compute/exec/options.h" namespace "arrow::compute" nogil
cdef cppclass CExecNodeOptions "arrow::compute::ExecNodeOptions":
pass

cdef cppclass CSourceNodeOptions "arrow::compute::SourceNodeOptions"(CExecNodeOptions):
@staticmethod
CResult[shared_ptr[CSourceNodeOptions]] FromTable(const CTable& table, CExecutor*)
cdef cppclass CTableSourceNodeOptions "arrow::compute::TableSourceNodeOptions"(CExecNodeOptions):
CTableSourceNodeOptions(shared_ptr[CTable] table, int64_t max_batch_size)

cdef cppclass CSinkNodeOptions "arrow::compute::SinkNodeOptions"(CExecNodeOptions):
pass
Expand DownExpand Up@@ -2497,6 +2501,8 @@ cdef extern from "arrow/compute/exec/exec_plan.h" namespace "arrow::compute" nog
CStatus Validate()
CStatus StopProducing()

CFuture_Void finished()

vector[CExecNode*] sinks() const
vector[CExecNode*] sources() const

Expand Down
, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all
 blocks
(function() {
function addCopyButtons() {
document.querySelectorAll('pre code').forEach(function(codeBlock) {
if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;
codeBlock.parentElement.setAttribute('data-copy-added', 'true');
var btn = document.createElement('button');
btn.textContent = 'Copy';
btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';
btn.onmouseover = function() { this.style.opacity = '1'; };
btn.onmouseout = function() { this.style.opacity = '0.7'; };
btn.onclick = function() {
navigator.clipboard.writeText(codeBlock.textContent).then(function() {
btn.textContent = 'Copied!';
setTimeout(function() { btn.textContent = 'Copy'; }, 1500);
});
};
codeBlock.parentElement.style.position = 'relative';
codeBlock.parentElement.appendChild(btn);
});
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addCopyButtons();
// Re-run on dynamic content
var observer = new MutationObserver(addCopyButtons);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
ARROW-16417: [C++][Python] Segfault in test_exec_plan.py / test_joins by westonpace · Pull Request #13036 · apache/arrow · GitHub
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21 changes: 11 additions & 10 deletions cpp/src/arrow/compute/exec/hash_join_node.cc
Original file line numberDiff line numberDiff line change
Expand Up@@ -634,16 +634,17 @@ class HashJoinNode : public ExecNode {
Status ScheduleTaskCallback(std::function<Status(size_t)> func) {
auto executor = plan_->exec_context()->executor();
if (executor) {
ARROW_ASSIGN_OR_RAISE(auto task_fut, executor->Submit([this, func] {
size_t thread_index = thread_indexer_();
Status status = func(thread_index);
if (!status.ok()) {
StopProducing();
ErrorIfNotOk(status);
return;
}
}));
return task_group_.AddTask(task_fut);
return task_group_.AddTask([this, executor, func] {
return DeferNotOk(executor->Submit([this, func] {
size_t thread_index = thread_indexer_();
Status status = func(thread_index);
if (!status.ok()) {
StopProducing();
ErrorIfNotOk(status);
return;
}
}));
});
} else {
// We should not get here in serial execution mode
ARROW_DCHECK(false);
Expand Down
29 changes: 16 additions & 13 deletions python/pyarrow/_exec_plan.pyx
Original file line numberDiff line numberDiff line change
Expand Up@@ -27,7 +27,7 @@ from cython.operator cimport dereference as deref, preincrement as inc
from pyarrow.includes.common cimport *
from pyarrow.includes.libarrow cimport *
from pyarrow.includes.libarrow_dataset cimport *
from pyarrow.lib cimport (Table, pyarrow_unwrap_table, pyarrow_wrap_table)
from pyarrow.lib cimport (Table, check_status, pyarrow_unwrap_table, pyarrow_wrap_table)
from pyarrow.lib import tobytes
from pyarrow._compute cimport Expression, _true
from pyarrow._dataset cimport Dataset
Expand DownExpand Up@@ -56,29 +56,29 @@ cdef execplan(inputs, output_type, vector[CDeclaration] plan, c_bool use_threads
"""
cdef:
CExecutor *c_executor
shared_ptr[CThreadPool] c_executor_sptr
shared_ptr[CExecContext] c_exec_context
shared_ptr[CExecPlan] c_exec_plan
vector[CDeclaration] c_decls
vector[CExecNode*] _empty
vector[CExecNode*] c_final_node_vec
CExecNode *c_node
CTable* c_table
shared_ptr[CTable] c_in_table
shared_ptr[CTable] c_out_table
shared_ptr[CSourceNodeOptions] c_sourceopts
shared_ptr[CTableSourceNodeOptions] c_tablesourceopts
shared_ptr[CScanNodeOptions] c_scanopts
shared_ptr[CExecNodeOptions] c_input_node_opts
shared_ptr[CSinkNodeOptions] c_sinkopts
shared_ptr[CAsyncExecBatchGenerator] c_async_exec_batch_gen
shared_ptr[CRecordBatchReader] c_recordbatchreader
vector[CDeclaration].iterator plan_iter
vector[CDeclaration.Input] no_c_inputs
CStatus c_plan_status

if use_threads:
c_executor = GetCpuThreadPool()
else:
c_executor_sptr = GetResultValue(CThreadPool.Make(1))
c_executor = c_executor_sptr.get()
c_executor = NULL

c_exec_context = make_shared[CExecContext](
c_default_memory_pool(), c_executor)
Expand All@@ -89,12 +89,12 @@ cdef execplan(inputs, output_type, vector[CDeclaration] plan, c_bool use_threads
# Create source nodes for each input
for ipt in inputs:
if isinstance(ipt, Table):
node_factory = "source"
c_in_table = pyarrow_unwrap_table(ipt).get()
c_sourceopts = GetResultValue(
CSourceNodeOptions.FromTable(deref(c_in_table), deref(c_exec_context).executor()))
c_input_node_opts = static_pointer_cast[CExecNodeOptions, CSourceNodeOptions](
c_sourceopts)
node_factory = "table_source"
c_in_table = pyarrow_unwrap_table(ipt)
c_tablesourceopts = make_shared[CTableSourceNodeOptions](
c_in_table, 1 << 20)
c_input_node_opts = static_pointer_cast[CExecNodeOptions, CTableSourceNodeOptions](
c_tablesourceopts)
elif isinstance(ipt, Dataset):
node_factory = "scan"
c_in_dataset = (<Dataset>ipt).unwrap()
Expand DownExpand Up@@ -157,7 +157,9 @@ cdef execplan(inputs, output_type, vector[CDeclaration] plan, c_bool use_threads
else:
raise TypeError("Unsupported output type")

deref(c_exec_plan).StopProducing()
with nogil:
c_plan_status = deref(c_exec_plan).finished().status()
check_status(c_plan_status)

return output

Expand DownExpand Up@@ -345,6 +347,7 @@ def _perform_join(join_type, left_operand not None, left_keys,

result_table = execplan([left_operand, right_operand],
plan=c_decl_plan,
output_type=output_type)
output_type=output_type,
use_threads=use_threads)

return result_table
12 changes: 9 additions & 3 deletions python/pyarrow/includes/libarrow.pxd
Original file line numberDiff line numberDiff line change
Expand Up@@ -81,6 +81,11 @@ cdef extern from "arrow/config.h" namespace "arrow" nogil:
CRuntimeInfo GetRuntimeInfo()


cdef extern from "arrow/util/future.h" namespace "arrow" nogil:
cdef cppclass CFuture_Void" arrow::Future<>":
CStatus status()


cdef extern from "arrow/api.h" namespace "arrow" nogil:
cdef enum Type" arrow::Type::type":
_Type_NA" arrow::Type::NA"
Expand DownExpand Up@@ -2442,9 +2447,8 @@ cdef extern from "arrow/compute/exec/options.h" namespace "arrow::compute" nogil
cdef cppclass CExecNodeOptions "arrow::compute::ExecNodeOptions":
pass

cdef cppclass CSourceNodeOptions "arrow::compute::SourceNodeOptions"(CExecNodeOptions):
@staticmethod
CResult[shared_ptr[CSourceNodeOptions]] FromTable(const CTable& table, CExecutor*)
cdef cppclass CTableSourceNodeOptions "arrow::compute::TableSourceNodeOptions"(CExecNodeOptions):
CTableSourceNodeOptions(shared_ptr[CTable] table, int64_t max_batch_size)

cdef cppclass CSinkNodeOptions "arrow::compute::SinkNodeOptions"(CExecNodeOptions):
pass
Expand DownExpand Up@@ -2497,6 +2501,8 @@ cdef extern from "arrow/compute/exec/exec_plan.h" namespace "arrow::compute" nog
CStatus Validate()
CStatus StopProducing()

CFuture_Void finished()

vector[CExecNode*] sinks() const
vector[CExecNode*] sources() const

Expand Down
, 'i'); if (__m === '*' || __re.test(location.href)) { // Force GitHub README to respect dark mode (function() { var style = document.createElement('style'); style.textContent = ' .markdown-body { color-scheme: dark light; } .markdown-body pre { background: #161b22 !important; } .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; } .markdown-body table th, .markdown-body table td { border-color: #30363d !important; } .markdown-body img { background: #0d1117; } .markdown-body blockquote { border-left-color: #8b949e; } .markdown-body hr { border-color: #30363d; } '; document.head.appendChild(style); })(); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' ARROW-16417: [C++][Python] Segfault in test_exec_plan.py / test_joins by westonpace · Pull Request #13036 · apache/arrow · GitHub
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21 changes: 11 additions & 10 deletions cpp/src/arrow/compute/exec/hash_join_node.cc
Original file line numberDiff line numberDiff line change
Expand Up@@ -634,16 +634,17 @@ class HashJoinNode : public ExecNode {
Status ScheduleTaskCallback(std::function<Status(size_t)> func) {
auto executor = plan_->exec_context()->executor();
if (executor) {
ARROW_ASSIGN_OR_RAISE(auto task_fut, executor->Submit([this, func] {
size_t thread_index = thread_indexer_();
Status status = func(thread_index);
if (!status.ok()) {
StopProducing();
ErrorIfNotOk(status);
return;
}
}));
return task_group_.AddTask(task_fut);
return task_group_.AddTask([this, executor, func] {
return DeferNotOk(executor->Submit([this, func] {
size_t thread_index = thread_indexer_();
Status status = func(thread_index);
if (!status.ok()) {
StopProducing();
ErrorIfNotOk(status);
return;
}
}));
});
} else {
// We should not get here in serial execution mode
ARROW_DCHECK(false);
Expand Down
29 changes: 16 additions & 13 deletions python/pyarrow/_exec_plan.pyx
Original file line numberDiff line numberDiff line change
Expand Up@@ -27,7 +27,7 @@ from cython.operator cimport dereference as deref, preincrement as inc
from pyarrow.includes.common cimport *
from pyarrow.includes.libarrow cimport *
from pyarrow.includes.libarrow_dataset cimport *
from pyarrow.lib cimport (Table, pyarrow_unwrap_table, pyarrow_wrap_table)
from pyarrow.lib cimport (Table, check_status, pyarrow_unwrap_table, pyarrow_wrap_table)
from pyarrow.lib import tobytes
from pyarrow._compute cimport Expression, _true
from pyarrow._dataset cimport Dataset
Expand DownExpand Up@@ -56,29 +56,29 @@ cdef execplan(inputs, output_type, vector[CDeclaration] plan, c_bool use_threads
"""
cdef:
CExecutor *c_executor
shared_ptr[CThreadPool] c_executor_sptr
shared_ptr[CExecContext] c_exec_context
shared_ptr[CExecPlan] c_exec_plan
vector[CDeclaration] c_decls
vector[CExecNode*] _empty
vector[CExecNode*] c_final_node_vec
CExecNode *c_node
CTable* c_table
shared_ptr[CTable] c_in_table
shared_ptr[CTable] c_out_table
shared_ptr[CSourceNodeOptions] c_sourceopts
shared_ptr[CTableSourceNodeOptions] c_tablesourceopts
shared_ptr[CScanNodeOptions] c_scanopts
shared_ptr[CExecNodeOptions] c_input_node_opts
shared_ptr[CSinkNodeOptions] c_sinkopts
shared_ptr[CAsyncExecBatchGenerator] c_async_exec_batch_gen
shared_ptr[CRecordBatchReader] c_recordbatchreader
vector[CDeclaration].iterator plan_iter
vector[CDeclaration.Input] no_c_inputs
CStatus c_plan_status

if use_threads:
c_executor = GetCpuThreadPool()
else:
c_executor_sptr = GetResultValue(CThreadPool.Make(1))
c_executor = c_executor_sptr.get()
c_executor = NULL

c_exec_context = make_shared[CExecContext](
c_default_memory_pool(), c_executor)
Expand All@@ -89,12 +89,12 @@ cdef execplan(inputs, output_type, vector[CDeclaration] plan, c_bool use_threads
# Create source nodes for each input
for ipt in inputs:
if isinstance(ipt, Table):
node_factory = "source"
c_in_table = pyarrow_unwrap_table(ipt).get()
c_sourceopts = GetResultValue(
CSourceNodeOptions.FromTable(deref(c_in_table), deref(c_exec_context).executor()))
c_input_node_opts = static_pointer_cast[CExecNodeOptions, CSourceNodeOptions](
c_sourceopts)
node_factory = "table_source"
c_in_table = pyarrow_unwrap_table(ipt)
c_tablesourceopts = make_shared[CTableSourceNodeOptions](
c_in_table, 1 << 20)
c_input_node_opts = static_pointer_cast[CExecNodeOptions, CTableSourceNodeOptions](
c_tablesourceopts)
elif isinstance(ipt, Dataset):
node_factory = "scan"
c_in_dataset = (<Dataset>ipt).unwrap()
Expand DownExpand Up@@ -157,7 +157,9 @@ cdef execplan(inputs, output_type, vector[CDeclaration] plan, c_bool use_threads
else:
raise TypeError("Unsupported output type")

deref(c_exec_plan).StopProducing()
with nogil:
c_plan_status = deref(c_exec_plan).finished().status()
check_status(c_plan_status)

return output

Expand DownExpand Up@@ -345,6 +347,7 @@ def _perform_join(join_type, left_operand not None, left_keys,

result_table = execplan([left_operand, right_operand],
plan=c_decl_plan,
output_type=output_type)
output_type=output_type,
use_threads=use_threads)

return result_table
12 changes: 9 additions & 3 deletions python/pyarrow/includes/libarrow.pxd
Original file line numberDiff line numberDiff line change
Expand Up@@ -81,6 +81,11 @@ cdef extern from "arrow/config.h" namespace "arrow" nogil:
CRuntimeInfo GetRuntimeInfo()


cdef extern from "arrow/util/future.h" namespace "arrow" nogil:
cdef cppclass CFuture_Void" arrow::Future<>":
CStatus status()


cdef extern from "arrow/api.h" namespace "arrow" nogil:
cdef enum Type" arrow::Type::type":
_Type_NA" arrow::Type::NA"
Expand DownExpand Up@@ -2442,9 +2447,8 @@ cdef extern from "arrow/compute/exec/options.h" namespace "arrow::compute" nogil
cdef cppclass CExecNodeOptions "arrow::compute::ExecNodeOptions":
pass

cdef cppclass CSourceNodeOptions "arrow::compute::SourceNodeOptions"(CExecNodeOptions):
@staticmethod
CResult[shared_ptr[CSourceNodeOptions]] FromTable(const CTable& table, CExecutor*)
cdef cppclass CTableSourceNodeOptions "arrow::compute::TableSourceNodeOptions"(CExecNodeOptions):
CTableSourceNodeOptions(shared_ptr[CTable] table, int64_t max_batch_size)

cdef cppclass CSinkNodeOptions "arrow::compute::SinkNodeOptions"(CExecNodeOptions):
pass
Expand DownExpand Up@@ -2497,6 +2501,8 @@ cdef extern from "arrow/compute/exec/exec_plan.h" namespace "arrow::compute" nog
CStatus Validate()
CStatus StopProducing()

CFuture_Void finished()

vector[CExecNode*] sinks() const
vector[CExecNode*] sources() const

Expand Down
, 'i'); if (__m === '*' || __re.test(location.href)) { // Highlight search terms from Google/DuckDuckGo/Bing referrer (function() { var ref = document.referrer; var terms = []; if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) { var url = new URL(ref); var q = url.searchParams.get('q') || url.searchParams.get('p'); if (q) { terms = q.split(/\s+/).filter(function(t) { return t.length > 2; }); } } if (terms.length === 0) return; var style = document.createElement('style'); style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }'; document.head.appendChild(style); function highlight(node) { if (node.nodeType === 3) { // text node var text = node.textContent; var found = false; terms.forEach(function(term) { var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' ARROW-16417: [C++][Python] Segfault in test_exec_plan.py / test_joins by westonpace · Pull Request #13036 · apache/arrow · GitHub
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21 changes: 11 additions & 10 deletions cpp/src/arrow/compute/exec/hash_join_node.cc
Original file line numberDiff line numberDiff line change
Expand Up@@ -634,16 +634,17 @@ class HashJoinNode : public ExecNode {
Status ScheduleTaskCallback(std::function<Status(size_t)> func) {
auto executor = plan_->exec_context()->executor();
if (executor) {
ARROW_ASSIGN_OR_RAISE(auto task_fut, executor->Submit([this, func] {
size_t thread_index = thread_indexer_();
Status status = func(thread_index);
if (!status.ok()) {
StopProducing();
ErrorIfNotOk(status);
return;
}
}));
return task_group_.AddTask(task_fut);
return task_group_.AddTask([this, executor, func] {
return DeferNotOk(executor->Submit([this, func] {
size_t thread_index = thread_indexer_();
Status status = func(thread_index);
if (!status.ok()) {
StopProducing();
ErrorIfNotOk(status);
return;
}
}));
});
} else {
// We should not get here in serial execution mode
ARROW_DCHECK(false);
Expand Down
29 changes: 16 additions & 13 deletions python/pyarrow/_exec_plan.pyx
Original file line numberDiff line numberDiff line change
Expand Up@@ -27,7 +27,7 @@ from cython.operator cimport dereference as deref, preincrement as inc
from pyarrow.includes.common cimport *
from pyarrow.includes.libarrow cimport *
from pyarrow.includes.libarrow_dataset cimport *
from pyarrow.lib cimport (Table, pyarrow_unwrap_table, pyarrow_wrap_table)
from pyarrow.lib cimport (Table, check_status, pyarrow_unwrap_table, pyarrow_wrap_table)
from pyarrow.lib import tobytes
from pyarrow._compute cimport Expression, _true
from pyarrow._dataset cimport Dataset
Expand DownExpand Up@@ -56,29 +56,29 @@ cdef execplan(inputs, output_type, vector[CDeclaration] plan, c_bool use_threads
"""
cdef:
CExecutor *c_executor
shared_ptr[CThreadPool] c_executor_sptr
shared_ptr[CExecContext] c_exec_context
shared_ptr[CExecPlan] c_exec_plan
vector[CDeclaration] c_decls
vector[CExecNode*] _empty
vector[CExecNode*] c_final_node_vec
CExecNode *c_node
CTable* c_table
shared_ptr[CTable] c_in_table
shared_ptr[CTable] c_out_table
shared_ptr[CSourceNodeOptions] c_sourceopts
shared_ptr[CTableSourceNodeOptions] c_tablesourceopts
shared_ptr[CScanNodeOptions] c_scanopts
shared_ptr[CExecNodeOptions] c_input_node_opts
shared_ptr[CSinkNodeOptions] c_sinkopts
shared_ptr[CAsyncExecBatchGenerator] c_async_exec_batch_gen
shared_ptr[CRecordBatchReader] c_recordbatchreader
vector[CDeclaration].iterator plan_iter
vector[CDeclaration.Input] no_c_inputs
CStatus c_plan_status

if use_threads:
c_executor = GetCpuThreadPool()
else:
c_executor_sptr = GetResultValue(CThreadPool.Make(1))
c_executor = c_executor_sptr.get()
c_executor = NULL

c_exec_context = make_shared[CExecContext](
c_default_memory_pool(), c_executor)
Expand All@@ -89,12 +89,12 @@ cdef execplan(inputs, output_type, vector[CDeclaration] plan, c_bool use_threads
# Create source nodes for each input
for ipt in inputs:
if isinstance(ipt, Table):
node_factory = "source"
c_in_table = pyarrow_unwrap_table(ipt).get()
c_sourceopts = GetResultValue(
CSourceNodeOptions.FromTable(deref(c_in_table), deref(c_exec_context).executor()))
c_input_node_opts = static_pointer_cast[CExecNodeOptions, CSourceNodeOptions](
c_sourceopts)
node_factory = "table_source"
c_in_table = pyarrow_unwrap_table(ipt)
c_tablesourceopts = make_shared[CTableSourceNodeOptions](
c_in_table, 1 << 20)
c_input_node_opts = static_pointer_cast[CExecNodeOptions, CTableSourceNodeOptions](
c_tablesourceopts)
elif isinstance(ipt, Dataset):
node_factory = "scan"
c_in_dataset = (<Dataset>ipt).unwrap()
Expand DownExpand Up@@ -157,7 +157,9 @@ cdef execplan(inputs, output_type, vector[CDeclaration] plan, c_bool use_threads
else:
raise TypeError("Unsupported output type")

deref(c_exec_plan).StopProducing()
with nogil:
c_plan_status = deref(c_exec_plan).finished().status()
check_status(c_plan_status)

return output

Expand DownExpand Up@@ -345,6 +347,7 @@ def _perform_join(join_type, left_operand not None, left_keys,

result_table = execplan([left_operand, right_operand],
plan=c_decl_plan,
output_type=output_type)
output_type=output_type,
use_threads=use_threads)

return result_table
12 changes: 9 additions & 3 deletions python/pyarrow/includes/libarrow.pxd
Original file line numberDiff line numberDiff line change
Expand Up@@ -81,6 +81,11 @@ cdef extern from "arrow/config.h" namespace "arrow" nogil:
CRuntimeInfo GetRuntimeInfo()


cdef extern from "arrow/util/future.h" namespace "arrow" nogil:
cdef cppclass CFuture_Void" arrow::Future<>":
CStatus status()


cdef extern from "arrow/api.h" namespace "arrow" nogil:
cdef enum Type" arrow::Type::type":
_Type_NA" arrow::Type::NA"
Expand DownExpand Up@@ -2442,9 +2447,8 @@ cdef extern from "arrow/compute/exec/options.h" namespace "arrow::compute" nogil
cdef cppclass CExecNodeOptions "arrow::compute::ExecNodeOptions":
pass

cdef cppclass CSourceNodeOptions "arrow::compute::SourceNodeOptions"(CExecNodeOptions):
@staticmethod
CResult[shared_ptr[CSourceNodeOptions]] FromTable(const CTable& table, CExecutor*)
cdef cppclass CTableSourceNodeOptions "arrow::compute::TableSourceNodeOptions"(CExecNodeOptions):
CTableSourceNodeOptions(shared_ptr[CTable] table, int64_t max_batch_size)

cdef cppclass CSinkNodeOptions "arrow::compute::SinkNodeOptions"(CExecNodeOptions):
pass
Expand DownExpand Up@@ -2497,6 +2501,8 @@ cdef extern from "arrow/compute/exec/exec_plan.h" namespace "arrow::compute" nog
CStatus Validate()
CStatus StopProducing()

CFuture_Void finished()

vector[CExecNode*] sinks() const
vector[CExecNode*] sources() const

Expand Down
, 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + ' ARROW-16417: [C++][Python] Segfault in test_exec_plan.py / test_joins by westonpace · Pull Request #13036 · apache/arrow · GitHub
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21 changes: 11 additions & 10 deletions cpp/src/arrow/compute/exec/hash_join_node.cc
Original file line numberDiff line numberDiff line change
Expand Up@@ -634,16 +634,17 @@ class HashJoinNode : public ExecNode {
Status ScheduleTaskCallback(std::function<Status(size_t)> func) {
auto executor = plan_->exec_context()->executor();
if (executor) {
ARROW_ASSIGN_OR_RAISE(auto task_fut, executor->Submit([this, func] {
size_t thread_index = thread_indexer_();
Status status = func(thread_index);
if (!status.ok()) {
StopProducing();
ErrorIfNotOk(status);
return;
}
}));
return task_group_.AddTask(task_fut);
return task_group_.AddTask([this, executor, func] {
return DeferNotOk(executor->Submit([this, func] {
size_t thread_index = thread_indexer_();
Status status = func(thread_index);
if (!status.ok()) {
StopProducing();
ErrorIfNotOk(status);
return;
}
}));
});
} else {
// We should not get here in serial execution mode
ARROW_DCHECK(false);
Expand Down
29 changes: 16 additions & 13 deletions python/pyarrow/_exec_plan.pyx
Original file line numberDiff line numberDiff line change
Expand Up@@ -27,7 +27,7 @@ from cython.operator cimport dereference as deref, preincrement as inc
from pyarrow.includes.common cimport *
from pyarrow.includes.libarrow cimport *
from pyarrow.includes.libarrow_dataset cimport *
from pyarrow.lib cimport (Table, pyarrow_unwrap_table, pyarrow_wrap_table)
from pyarrow.lib cimport (Table, check_status, pyarrow_unwrap_table, pyarrow_wrap_table)
from pyarrow.lib import tobytes
from pyarrow._compute cimport Expression, _true
from pyarrow._dataset cimport Dataset
Expand DownExpand Up@@ -56,29 +56,29 @@ cdef execplan(inputs, output_type, vector[CDeclaration] plan, c_bool use_threads
"""
cdef:
CExecutor *c_executor
shared_ptr[CThreadPool] c_executor_sptr
shared_ptr[CExecContext] c_exec_context
shared_ptr[CExecPlan] c_exec_plan
vector[CDeclaration] c_decls
vector[CExecNode*] _empty
vector[CExecNode*] c_final_node_vec
CExecNode *c_node
CTable* c_table
shared_ptr[CTable] c_in_table
shared_ptr[CTable] c_out_table
shared_ptr[CSourceNodeOptions] c_sourceopts
shared_ptr[CTableSourceNodeOptions] c_tablesourceopts
shared_ptr[CScanNodeOptions] c_scanopts
shared_ptr[CExecNodeOptions] c_input_node_opts
shared_ptr[CSinkNodeOptions] c_sinkopts
shared_ptr[CAsyncExecBatchGenerator] c_async_exec_batch_gen
shared_ptr[CRecordBatchReader] c_recordbatchreader
vector[CDeclaration].iterator plan_iter
vector[CDeclaration.Input] no_c_inputs
CStatus c_plan_status

if use_threads:
c_executor = GetCpuThreadPool()
else:
c_executor_sptr = GetResultValue(CThreadPool.Make(1))
c_executor = c_executor_sptr.get()
c_executor = NULL

c_exec_context = make_shared[CExecContext](
c_default_memory_pool(), c_executor)
Expand All@@ -89,12 +89,12 @@ cdef execplan(inputs, output_type, vector[CDeclaration] plan, c_bool use_threads
# Create source nodes for each input
for ipt in inputs:
if isinstance(ipt, Table):
node_factory = "source"
c_in_table = pyarrow_unwrap_table(ipt).get()
c_sourceopts = GetResultValue(
CSourceNodeOptions.FromTable(deref(c_in_table), deref(c_exec_context).executor()))
c_input_node_opts = static_pointer_cast[CExecNodeOptions, CSourceNodeOptions](
c_sourceopts)
node_factory = "table_source"
c_in_table = pyarrow_unwrap_table(ipt)
c_tablesourceopts = make_shared[CTableSourceNodeOptions](
c_in_table, 1 << 20)
c_input_node_opts = static_pointer_cast[CExecNodeOptions, CTableSourceNodeOptions](
c_tablesourceopts)
elif isinstance(ipt, Dataset):
node_factory = "scan"
c_in_dataset = (<Dataset>ipt).unwrap()
Expand DownExpand Up@@ -157,7 +157,9 @@ cdef execplan(inputs, output_type, vector[CDeclaration] plan, c_bool use_threads
else:
raise TypeError("Unsupported output type")

deref(c_exec_plan).StopProducing()
with nogil:
c_plan_status = deref(c_exec_plan).finished().status()
check_status(c_plan_status)

return output

Expand DownExpand Up@@ -345,6 +347,7 @@ def _perform_join(join_type, left_operand not None, left_keys,

result_table = execplan([left_operand, right_operand],
plan=c_decl_plan,
output_type=output_type)
output_type=output_type,
use_threads=use_threads)

return result_table
12 changes: 9 additions & 3 deletions python/pyarrow/includes/libarrow.pxd
Original file line numberDiff line numberDiff line change
Expand Up@@ -81,6 +81,11 @@ cdef extern from "arrow/config.h" namespace "arrow" nogil:
CRuntimeInfo GetRuntimeInfo()


cdef extern from "arrow/util/future.h" namespace "arrow" nogil:
cdef cppclass CFuture_Void" arrow::Future<>":
CStatus status()


cdef extern from "arrow/api.h" namespace "arrow" nogil:
cdef enum Type" arrow::Type::type":
_Type_NA" arrow::Type::NA"
Expand DownExpand Up@@ -2442,9 +2447,8 @@ cdef extern from "arrow/compute/exec/options.h" namespace "arrow::compute" nogil
cdef cppclass CExecNodeOptions "arrow::compute::ExecNodeOptions":
pass

cdef cppclass CSourceNodeOptions "arrow::compute::SourceNodeOptions"(CExecNodeOptions):
@staticmethod
CResult[shared_ptr[CSourceNodeOptions]] FromTable(const CTable& table, CExecutor*)
cdef cppclass CTableSourceNodeOptions "arrow::compute::TableSourceNodeOptions"(CExecNodeOptions):
CTableSourceNodeOptions(shared_ptr[CTable] table, int64_t max_batch_size)

cdef cppclass CSinkNodeOptions "arrow::compute::SinkNodeOptions"(CExecNodeOptions):
pass
Expand DownExpand Up@@ -2497,6 +2501,8 @@ cdef extern from "arrow/compute/exec/exec_plan.h" namespace "arrow::compute" nog
CStatus Validate()
CStatus StopProducing()

CFuture_Void finished()

vector[CExecNode*] sinks() const
vector[CExecNode*] sources() const

Expand Down
, 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' ARROW-16417: [C++][Python] Segfault in test_exec_plan.py / test_joins by westonpace · Pull Request #13036 · apache/arrow · GitHub
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21 changes: 11 additions & 10 deletions cpp/src/arrow/compute/exec/hash_join_node.cc
Original file line numberDiff line numberDiff line change
Expand Up@@ -634,16 +634,17 @@ class HashJoinNode : public ExecNode {
Status ScheduleTaskCallback(std::function<Status(size_t)> func) {
auto executor = plan_->exec_context()->executor();
if (executor) {
ARROW_ASSIGN_OR_RAISE(auto task_fut, executor->Submit([this, func] {
size_t thread_index = thread_indexer_();
Status status = func(thread_index);
if (!status.ok()) {
StopProducing();
ErrorIfNotOk(status);
return;
}
}));
return task_group_.AddTask(task_fut);
return task_group_.AddTask([this, executor, func] {
return DeferNotOk(executor->Submit([this, func] {
size_t thread_index = thread_indexer_();
Status status = func(thread_index);
if (!status.ok()) {
StopProducing();
ErrorIfNotOk(status);
return;
}
}));
});
} else {
// We should not get here in serial execution mode
ARROW_DCHECK(false);
Expand Down
29 changes: 16 additions & 13 deletions python/pyarrow/_exec_plan.pyx
Original file line numberDiff line numberDiff line change
Expand Up@@ -27,7 +27,7 @@ from cython.operator cimport dereference as deref, preincrement as inc
from pyarrow.includes.common cimport *
from pyarrow.includes.libarrow cimport *
from pyarrow.includes.libarrow_dataset cimport *
from pyarrow.lib cimport (Table, pyarrow_unwrap_table, pyarrow_wrap_table)
from pyarrow.lib cimport (Table, check_status, pyarrow_unwrap_table, pyarrow_wrap_table)
from pyarrow.lib import tobytes
from pyarrow._compute cimport Expression, _true
from pyarrow._dataset cimport Dataset
Expand DownExpand Up@@ -56,29 +56,29 @@ cdef execplan(inputs, output_type, vector[CDeclaration] plan, c_bool use_threads
"""
cdef:
CExecutor *c_executor
shared_ptr[CThreadPool] c_executor_sptr
shared_ptr[CExecContext] c_exec_context
shared_ptr[CExecPlan] c_exec_plan
vector[CDeclaration] c_decls
vector[CExecNode*] _empty
vector[CExecNode*] c_final_node_vec
CExecNode *c_node
CTable* c_table
shared_ptr[CTable] c_in_table
shared_ptr[CTable] c_out_table
shared_ptr[CSourceNodeOptions] c_sourceopts
shared_ptr[CTableSourceNodeOptions] c_tablesourceopts
shared_ptr[CScanNodeOptions] c_scanopts
shared_ptr[CExecNodeOptions] c_input_node_opts
shared_ptr[CSinkNodeOptions] c_sinkopts
shared_ptr[CAsyncExecBatchGenerator] c_async_exec_batch_gen
shared_ptr[CRecordBatchReader] c_recordbatchreader
vector[CDeclaration].iterator plan_iter
vector[CDeclaration.Input] no_c_inputs
CStatus c_plan_status

if use_threads:
c_executor = GetCpuThreadPool()
else:
c_executor_sptr = GetResultValue(CThreadPool.Make(1))
c_executor = c_executor_sptr.get()
c_executor = NULL

c_exec_context = make_shared[CExecContext](
c_default_memory_pool(), c_executor)
Expand All@@ -89,12 +89,12 @@ cdef execplan(inputs, output_type, vector[CDeclaration] plan, c_bool use_threads
# Create source nodes for each input
for ipt in inputs:
if isinstance(ipt, Table):
node_factory = "source"
c_in_table = pyarrow_unwrap_table(ipt).get()
c_sourceopts = GetResultValue(
CSourceNodeOptions.FromTable(deref(c_in_table), deref(c_exec_context).executor()))
c_input_node_opts = static_pointer_cast[CExecNodeOptions, CSourceNodeOptions](
c_sourceopts)
node_factory = "table_source"
c_in_table = pyarrow_unwrap_table(ipt)
c_tablesourceopts = make_shared[CTableSourceNodeOptions](
c_in_table, 1 << 20)
c_input_node_opts = static_pointer_cast[CExecNodeOptions, CTableSourceNodeOptions](
c_tablesourceopts)
elif isinstance(ipt, Dataset):
node_factory = "scan"
c_in_dataset = (<Dataset>ipt).unwrap()
Expand DownExpand Up@@ -157,7 +157,9 @@ cdef execplan(inputs, output_type, vector[CDeclaration] plan, c_bool use_threads
else:
raise TypeError("Unsupported output type")

deref(c_exec_plan).StopProducing()
with nogil:
c_plan_status = deref(c_exec_plan).finished().status()
check_status(c_plan_status)

return output

Expand DownExpand Up@@ -345,6 +347,7 @@ def _perform_join(join_type, left_operand not None, left_keys,

result_table = execplan([left_operand, right_operand],
plan=c_decl_plan,
output_type=output_type)
output_type=output_type,
use_threads=use_threads)

return result_table
12 changes: 9 additions & 3 deletions python/pyarrow/includes/libarrow.pxd
Original file line numberDiff line numberDiff line change
Expand Up@@ -81,6 +81,11 @@ cdef extern from "arrow/config.h" namespace "arrow" nogil:
CRuntimeInfo GetRuntimeInfo()


cdef extern from "arrow/util/future.h" namespace "arrow" nogil:
cdef cppclass CFuture_Void" arrow::Future<>":
CStatus status()


cdef extern from "arrow/api.h" namespace "arrow" nogil:
cdef enum Type" arrow::Type::type":
_Type_NA" arrow::Type::NA"
Expand DownExpand Up@@ -2442,9 +2447,8 @@ cdef extern from "arrow/compute/exec/options.h" namespace "arrow::compute" nogil
cdef cppclass CExecNodeOptions "arrow::compute::ExecNodeOptions":
pass

cdef cppclass CSourceNodeOptions "arrow::compute::SourceNodeOptions"(CExecNodeOptions):
@staticmethod
CResult[shared_ptr[CSourceNodeOptions]] FromTable(const CTable& table, CExecutor*)
cdef cppclass CTableSourceNodeOptions "arrow::compute::TableSourceNodeOptions"(CExecNodeOptions):
CTableSourceNodeOptions(shared_ptr[CTable] table, int64_t max_batch_size)

cdef cppclass CSinkNodeOptions "arrow::compute::SinkNodeOptions"(CExecNodeOptions):
pass
Expand DownExpand Up@@ -2497,6 +2501,8 @@ cdef extern from "arrow/compute/exec/exec_plan.h" namespace "arrow::compute" nog
CStatus Validate()
CStatus StopProducing()

CFuture_Void finished()

vector[CExecNode*] sinks() const
vector[CExecNode*] sources() const

Expand Down
, 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); })(); ARROW-16417: [C++][Python] Segfault in test_exec_plan.py / test_joins by westonpace · Pull Request #13036 · apache/arrow · GitHub
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21 changes: 11 additions & 10 deletions cpp/src/arrow/compute/exec/hash_join_node.cc
Original file line numberDiff line numberDiff line change
Expand Up@@ -634,16 +634,17 @@ class HashJoinNode : public ExecNode {
Status ScheduleTaskCallback(std::function<Status(size_t)> func) {
auto executor = plan_->exec_context()->executor();
if (executor) {
ARROW_ASSIGN_OR_RAISE(auto task_fut, executor->Submit([this, func] {
size_t thread_index = thread_indexer_();
Status status = func(thread_index);
if (!status.ok()) {
StopProducing();
ErrorIfNotOk(status);
return;
}
}));
return task_group_.AddTask(task_fut);
return task_group_.AddTask([this, executor, func] {
return DeferNotOk(executor->Submit([this, func] {
size_t thread_index = thread_indexer_();
Status status = func(thread_index);
if (!status.ok()) {
StopProducing();
ErrorIfNotOk(status);
return;
}
}));
});
} else {
// We should not get here in serial execution mode
ARROW_DCHECK(false);
Expand Down
29 changes: 16 additions & 13 deletions python/pyarrow/_exec_plan.pyx
Original file line numberDiff line numberDiff line change
Expand Up@@ -27,7 +27,7 @@ from cython.operator cimport dereference as deref, preincrement as inc
from pyarrow.includes.common cimport *
from pyarrow.includes.libarrow cimport *
from pyarrow.includes.libarrow_dataset cimport *
from pyarrow.lib cimport (Table, pyarrow_unwrap_table, pyarrow_wrap_table)
from pyarrow.lib cimport (Table, check_status, pyarrow_unwrap_table, pyarrow_wrap_table)
from pyarrow.lib import tobytes
from pyarrow._compute cimport Expression, _true
from pyarrow._dataset cimport Dataset
Expand DownExpand Up@@ -56,29 +56,29 @@ cdef execplan(inputs, output_type, vector[CDeclaration] plan, c_bool use_threads
"""
cdef:
CExecutor *c_executor
shared_ptr[CThreadPool] c_executor_sptr
shared_ptr[CExecContext] c_exec_context
shared_ptr[CExecPlan] c_exec_plan
vector[CDeclaration] c_decls
vector[CExecNode*] _empty
vector[CExecNode*] c_final_node_vec
CExecNode *c_node
CTable* c_table
shared_ptr[CTable] c_in_table
shared_ptr[CTable] c_out_table
shared_ptr[CSourceNodeOptions] c_sourceopts
shared_ptr[CTableSourceNodeOptions] c_tablesourceopts
shared_ptr[CScanNodeOptions] c_scanopts
shared_ptr[CExecNodeOptions] c_input_node_opts
shared_ptr[CSinkNodeOptions] c_sinkopts
shared_ptr[CAsyncExecBatchGenerator] c_async_exec_batch_gen
shared_ptr[CRecordBatchReader] c_recordbatchreader
vector[CDeclaration].iterator plan_iter
vector[CDeclaration.Input] no_c_inputs
CStatus c_plan_status

if use_threads:
c_executor = GetCpuThreadPool()
else:
c_executor_sptr = GetResultValue(CThreadPool.Make(1))
c_executor = c_executor_sptr.get()
c_executor = NULL

c_exec_context = make_shared[CExecContext](
c_default_memory_pool(), c_executor)
Expand All@@ -89,12 +89,12 @@ cdef execplan(inputs, output_type, vector[CDeclaration] plan, c_bool use_threads
# Create source nodes for each input
for ipt in inputs:
if isinstance(ipt, Table):
node_factory = "source"
c_in_table = pyarrow_unwrap_table(ipt).get()
c_sourceopts = GetResultValue(
CSourceNodeOptions.FromTable(deref(c_in_table), deref(c_exec_context).executor()))
c_input_node_opts = static_pointer_cast[CExecNodeOptions, CSourceNodeOptions](
c_sourceopts)
node_factory = "table_source"
c_in_table = pyarrow_unwrap_table(ipt)
c_tablesourceopts = make_shared[CTableSourceNodeOptions](
c_in_table, 1 << 20)
c_input_node_opts = static_pointer_cast[CExecNodeOptions, CTableSourceNodeOptions](
c_tablesourceopts)
elif isinstance(ipt, Dataset):
node_factory = "scan"
c_in_dataset = (<Dataset>ipt).unwrap()
Expand DownExpand Up@@ -157,7 +157,9 @@ cdef execplan(inputs, output_type, vector[CDeclaration] plan, c_bool use_threads
else:
raise TypeError("Unsupported output type")

deref(c_exec_plan).StopProducing()
with nogil:
c_plan_status = deref(c_exec_plan).finished().status()
check_status(c_plan_status)

return output

Expand DownExpand Up@@ -345,6 +347,7 @@ def _perform_join(join_type, left_operand not None, left_keys,

result_table = execplan([left_operand, right_operand],
plan=c_decl_plan,
output_type=output_type)
output_type=output_type,
use_threads=use_threads)

return result_table
12 changes: 9 additions & 3 deletions python/pyarrow/includes/libarrow.pxd
Original file line numberDiff line numberDiff line change
Expand Up@@ -81,6 +81,11 @@ cdef extern from "arrow/config.h" namespace "arrow" nogil:
CRuntimeInfo GetRuntimeInfo()


cdef extern from "arrow/util/future.h" namespace "arrow" nogil:
cdef cppclass CFuture_Void" arrow::Future<>":
CStatus status()


cdef extern from "arrow/api.h" namespace "arrow" nogil:
cdef enum Type" arrow::Type::type":
_Type_NA" arrow::Type::NA"
Expand DownExpand Up@@ -2442,9 +2447,8 @@ cdef extern from "arrow/compute/exec/options.h" namespace "arrow::compute" nogil
cdef cppclass CExecNodeOptions "arrow::compute::ExecNodeOptions":
pass

cdef cppclass CSourceNodeOptions "arrow::compute::SourceNodeOptions"(CExecNodeOptions):
@staticmethod
CResult[shared_ptr[CSourceNodeOptions]] FromTable(const CTable& table, CExecutor*)
cdef cppclass CTableSourceNodeOptions "arrow::compute::TableSourceNodeOptions"(CExecNodeOptions):
CTableSourceNodeOptions(shared_ptr[CTable] table, int64_t max_batch_size)

cdef cppclass CSinkNodeOptions "arrow::compute::SinkNodeOptions"(CExecNodeOptions):
pass
Expand DownExpand Up@@ -2497,6 +2501,8 @@ cdef extern from "arrow/compute/exec/exec_plan.h" namespace "arrow::compute" nog
CStatus Validate()
CStatus StopProducing()

CFuture_Void finished()

vector[CExecNode*] sinks() const
vector[CExecNode*] sources() const

Expand Down