vibhatha commented on a change in pull request #12033:
URL: https://github.com/apache/arrow/pull/12033#discussion_r781820561



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File path: cpp/examples/arrow/execution_plan_documentation_examples.cc
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@@ -0,0 +1,1125 @@
+// 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 <memory>
+#include <utility>
+
+#include "arrow/array.h"
+#include "arrow/builder.h"
+
+#include <arrow/compute/api.h>
+#include <arrow/compute/api_scalar.h>
+#include <arrow/compute/api_vector.h>
+#include <arrow/compute/cast.h>
+#include <arrow/compute/exec/exec_plan.h>
+#include <arrow/compute/exec/ir_consumer.h>
+#include <arrow/compute/exec/test_util.h>
+
+#include <arrow/csv/api.h>
+
+#include <arrow/dataset/dataset.h>
+#include <arrow/dataset/dataset_writer.h>
+#include <arrow/dataset/file_base.h>
+#include <arrow/dataset/file_parquet.h>
+#include <arrow/dataset/plan.h>
+#include <arrow/dataset/scanner.h>
+
+#include <arrow/io/interfaces.h>
+#include <arrow/io/memory.h>
+#include <arrow/io/slow.h>
+#include <arrow/io/stdio.h>
+#include <arrow/io/transform.h>
+
+#include "arrow/json/api.h"
+
+#include <arrow/result.h>
+#include <arrow/status.h>
+#include <arrow/table.h>
+
+#include <arrow/ipc/api.h>
+
+#include <arrow/util/future.h>
+#include <arrow/util/range.h>
+#include <arrow/util/thread_pool.h>
+#include <arrow/util/vector.h>
+
+// Demonstrate various operators in Arrow Streaming Execution Engine
+
+#define ABORT_ON_FAILURE(expr)                     \
+  do {                                             \
+    arrow::Status status_ = (expr);                \
+    if (!status_.ok()) {                           \
+      std::cerr << status_.message() << std::endl; \
+      abort();                                     \
+    }                                              \
+  } while (0);
+
+constexpr char kSep[] = "******";
+
+#define PRINT_BLOCK(msg)                                               \
+  std::cout << "" << std::endl;                                        \
+  std::cout << "\t" << kSep << " " << msg << " " << kSep << std::endl; \
+  std::cout << "" << std::endl;
+
+namespace cp = ::arrow::compute;
+
+std::string GetDataAsCsvString() {
+  std::string data_str = R"csv(a,b
+1,null
+2,true
+null,true
+3,false
+null,true
+4,false
+5,null
+6,false
+7,false
+8,true
+)csv";
+  return data_str;
+}
+
+template <typename TYPE,
+          typename = typename 
std::enable_if<arrow::is_number_type<TYPE>::value |
+                                             
arrow::is_boolean_type<TYPE>::value |
+                                             
arrow::is_temporal_type<TYPE>::value>::type>
+arrow::Result<std::shared_ptr<arrow::Array>> GetArrayDataSample(
+    const std::vector<typename TYPE::c_type>& values) {
+  using ARROW_ARRAY_TYPE = typename arrow::TypeTraits<TYPE>::ArrayType;
+  using ARROW_BUILDER_TYPE = typename arrow::TypeTraits<TYPE>::BuilderType;
+  ARROW_BUILDER_TYPE builder;
+  ABORT_ON_FAILURE(builder.Reserve(values.size()));
+  std::shared_ptr<ARROW_ARRAY_TYPE> array;
+  ABORT_ON_FAILURE(builder.AppendValues(values));
+  ABORT_ON_FAILURE(builder.Finish(&array));
+  arrow::Result<std::shared_ptr<ARROW_ARRAY_TYPE>> result(std::move(array));
+  return result;
+}
+
+template <class TYPE>
+arrow::Result<std::shared_ptr<arrow::Array>> GetBinaryArrayDataSample(
+    const std::vector<std::string>& values) {
+  using ARROW_ARRAY_TYPE = typename arrow::TypeTraits<TYPE>::ArrayType;
+  using ARROW_BUILDER_TYPE = typename arrow::TypeTraits<TYPE>::BuilderType;
+  ARROW_BUILDER_TYPE builder;
+  ABORT_ON_FAILURE(builder.Reserve(values.size()));
+  std::shared_ptr<ARROW_ARRAY_TYPE> array;
+  ABORT_ON_FAILURE(builder.AppendValues(values));
+  ABORT_ON_FAILURE(builder.Finish(&array));
+  arrow::Result<std::shared_ptr<ARROW_ARRAY_TYPE>> result(std::move(array));
+  return result;
+}
+
+arrow::Result<std::shared_ptr<arrow::RecordBatch>> GetSampleRecordBatch(
+    const arrow::ArrayVector array_vector, const arrow::FieldVector& 
field_vector) {
+  std::shared_ptr<arrow::RecordBatch> record_batch;
+  ARROW_ASSIGN_OR_RAISE(auto struct_result,
+                        arrow::StructArray::Make(array_vector, field_vector));
+  return record_batch->FromStructArray(struct_result);
+}
+
+arrow::Result<std::shared_ptr<arrow::dataset::Dataset>> 
CreateDataSetFromCSVData() {
+  arrow::io::IOContext io_context = arrow::io::default_io_context();
+  std::shared_ptr<arrow::io::InputStream> input;
+  std::string csv_data = GetDataAsCsvString();
+  arrow::util::string_view sv = csv_data;
+  input = std::make_shared<arrow::io::BufferReader>(sv);
+
+  auto read_options = arrow::csv::ReadOptions::Defaults();
+  auto parse_options = arrow::csv::ParseOptions::Defaults();
+  auto convert_options = arrow::csv::ConvertOptions::Defaults();
+
+  // Instantiate TableReader from input stream and options
+  ARROW_ASSIGN_OR_RAISE(std::shared_ptr<arrow::csv::TableReader> table_reader,
+                        arrow::csv::TableReader::Make(io_context, input, 
read_options,
+                                                      parse_options, 
convert_options));
+
+  std::shared_ptr<arrow::csv::TableReader> reader = table_reader;
+
+  // Read table from CSV file
+  ARROW_ASSIGN_OR_RAISE(auto maybe_table, reader->Read());
+  auto ds = std::make_shared<arrow::dataset::InMemoryDataset>(maybe_table);
+  arrow::Result<std::shared_ptr<arrow::dataset::InMemoryDataset>> 
result(std::move(ds));
+  return result;
+}
+
+// (Doc section: Materialize)
+cp::Expression Materialize(std::vector<std::string> names,
+                           bool include_aug_fields = false) {
+  if (include_aug_fields) {
+    for (auto aug_name : {"__fragment_index", "__batch_index", 
"__last_in_fragment"}) {
+      names.emplace_back(aug_name);
+    }
+  }

Review comment:
       Removed and updated. 




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