westonpace commented on a change in pull request #9095:
URL: https://github.com/apache/arrow/pull/9095#discussion_r565531144



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File path: cpp/src/arrow/csv/reader_test.cc
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@@ -0,0 +1,169 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or more contributor license agreements.  See the NOTICE file
+// distributed with this work for additional information
+// regarding copyright ownership.  The ASF licenses this file
+// to you under the Apache License, Version 2.0 (the
+// "License"); you may not use this file except in compliance
+// with the License.  You may obtain a copy of the License at
+//
+//   http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing,
+// software distributed under the License is distributed on an
+// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+// KIND, either express or implied.  See the License for the
+// specific language governing permissions and limitations
+// under the License.
+
+#include <cstdint>
+#include <string>
+#include <thread>
+#include <utility>
+#include <vector>
+
+#include <gtest/gtest.h>
+
+#include "arrow/csv/options.h"
+#include "arrow/csv/reader.h"
+#include "arrow/csv/test_common.h"
+#include "arrow/io/interfaces.h"
+#include "arrow/status.h"
+#include "arrow/table.h"
+#include "arrow/testing/gtest_util.h"
+#include "arrow/util/future.h"
+#include "arrow/util/thread_pool.h"
+
+namespace arrow {
+namespace csv {
+
+void StressTableReader(
+    
std::function<Result<std::shared_ptr<TableReader>>(std::shared_ptr<io::InputStream>)>
+        reader_factory) {
+  const int NTASKS = 100;
+  const int NROWS = 1000;
+  ASSERT_OK_AND_ASSIGN(auto table_buffer, MakeSampleCsvBuffer(NROWS));
+
+  std::vector<Future<std::shared_ptr<Table>>> task_futures(NTASKS);
+  for (int i = 0; i < NTASKS; i++) {
+    auto input = std::make_shared<io::BufferReader>(table_buffer);
+    ASSERT_OK_AND_ASSIGN(auto reader, reader_factory(input));
+    task_futures[i] = reader->ReadAsync();
+  }
+  auto combined_future = All(task_futures);
+  combined_future.Wait();
+
+  ASSERT_OK_AND_ASSIGN(std::vector<Result<std::shared_ptr<Table>>> results,
+                       combined_future.result());
+  for (auto&& result : results) {
+    ASSERT_OK_AND_ASSIGN(auto table, result);
+    ASSERT_EQ(NROWS, table->num_rows());
+  }
+}
+
+void TestNestedParallelism(
+    std::shared_ptr<internal::ThreadPool> thread_pool,
+    
std::function<Result<std::shared_ptr<TableReader>>(std::shared_ptr<io::InputStream>)>
+        reader_factory) {
+  const int NROWS = 1000;
+  ASSERT_OK_AND_ASSIGN(auto table_buffer, MakeSampleCsvBuffer(NROWS));
+  auto input = std::make_shared<io::BufferReader>(table_buffer);
+  ASSERT_OK_AND_ASSIGN(auto reader, reader_factory(input));
+
+  Future<std::shared_ptr<Table>> table_future;
+
+  auto read_task = [&reader, &table_future]() mutable {
+    table_future = reader->ReadAsync();
+    return Status::OK();
+  };
+  ASSERT_OK_AND_ASSIGN(auto future, thread_pool->Submit(read_task));
+  ASSERT_TRUE(future.Wait(1));
+
+  if (future.is_finished()) {
+    ASSERT_TRUE(table_future.Wait(1));
+    if (table_future.is_finished()) {
+      ASSERT_OK_AND_ASSIGN(auto table, table_future.result());
+      ASSERT_EQ(table->num_rows(), NROWS);
+    }
+  }
+}  // namespace csv
+
+TEST(SerialReaderTests, Stress) {
+  auto task_factory = [](std::shared_ptr<io::InputStream> input_stream) {
+    return TableReader::Make(default_memory_pool(), io::AsyncContext(), 
input_stream,
+                             ReadOptions::Defaults(), ParseOptions::Defaults(),
+                             ConvertOptions::Defaults());
+  };
+  StressTableReader(task_factory);
+}
+
+TEST(SerialReaderTests, NestedParallelism) {
+  ASSERT_OK_AND_ASSIGN(auto thread_pool, internal::ThreadPool::Make(1));
+  auto task_factory = [](std::shared_ptr<io::InputStream> input_stream) {
+    return TableReader::Make(default_memory_pool(), io::AsyncContext(), 
input_stream,
+                             ReadOptions::Defaults(), ParseOptions::Defaults(),
+                             ConvertOptions::Defaults());
+  };
+  TestNestedParallelism(thread_pool, task_factory);
+}
+
+TEST(ThreadedReaderTests, Stress) {
+  ASSERT_OK_AND_ASSIGN(auto thread_pool, internal::ThreadPool::Make(1));
+  auto task_factory = [&thread_pool](std::shared_ptr<io::InputStream> 
input_stream)
+      -> Result<std::shared_ptr<TableReader>> {
+    ReadOptions read_options = ReadOptions::Defaults();
+    read_options.use_threads = true;
+    read_options.legacy_blocking_reads = true;
+    auto table_reader = TableReader::Make(
+        default_memory_pool(), io::AsyncContext(thread_pool.get()), 
input_stream,

Review comment:
       I can open a JIRA once we settle on what the desired behavior is but 
your second comment has left me unsure.  Are we saying that the method 
shouldn't accept an AsyncContext at all?  Otherwise, if it does, how should 
that be interpreted?
   
   Do filesystems get to own their executors?  Or do caller's need to specify 
that in addition to the CPU executor?  Should these be specified every call?  
Or should executors be somewhat "global" and specified through configuration 
(similar to how the default memory pool is set).




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