Fix: TypeError on calling parallel_bulk. (#601)

* Fix: TypeError on calling parallel_bulk.

Signed-off-by: dblock <[email protected]>

* Added a sample that uses a bulk function generator.

Signed-off-by: dblock <[email protected]>

---------

Signed-off-by: dblock <[email protected]>

CHANGELOG.md

@@ -7,6 +7,7 @@ Inspired from [Keep a Changelog](https://keepachangelog.com/en/1.0.0/)
 ### Deprecated
 ### Removed
 ### Fixed
+- Fix `TypeError` on `parallel_bulk` ([#601](https://github.com/opensearch-project/opensearch-py/pull/601))
 ### Security
 
 ## [2.4.1]

guides/bulk.md

@@ -1,6 +1,8 @@
 - [Bulk Indexing](#bulk-indexing)
   - [Line-Delimited JSON](#line-delimited-json)
   - [Bulk Helper](#bulk-helper)
+  - [Parallel Bulk](#parallel-bulk)
+  - [Data Generator](#data-generator)
 
 # Bulk Indexing
 
@@ -46,6 +48,8 @@ data = [
 response = client.bulk(data)
 if response["errors"]:
     print(f"There were errors!")
+    for item in response["items"]:
+        print(f"{item['index']['status']}: {item['index']['error']['type']}")
 else:
     print(f"Bulk-inserted {len(rc['items'])} items.")
 ```
@@ -69,3 +73,57 @@ response = helpers.bulk(client, docs, max_retries=3)
 print(response)
 ```
 
+## Parallel Bulk
+
+Bulk helpers support `parallel_bulk` which has options to turn off exceptions, chunk size, etc.
+
+```python
+succeeded = []
+failed = []
+for success, item in helpers.parallel_bulk(client, 
+    actions=data, 
+    chunk_size=10, 
+    raise_on_error=False,
+    raise_on_exception=False,
+    max_chunk_bytes=20 * 1024 * 1024,
+    request_timeout=60):
+    
+    if success:
+        succeeded.append(item)
+    else:
+        failed.append(item)
+
+if len(failed) > 0:
+    print(f"There were {len(failed)} errors:")
+    for item in failed:
+        print(f"{item['index']['error']}: {item['index']['exception']}")
+
+if len(succeeded) > 0:
+    print(f"Bulk-inserted {len(succeeded)} items.")
+```
+
+## Data Generator
+
+Use a data generator function with bulk helpers instead of building arrays.
+
+```python
+def _generate_data():
+    for i in range(100):
+        yield {"_index": index_name, "_id": i, "value": i}
+
+succeeded = []
+failed = []
+for success, item in helpers.parallel_bulk(client, actions=_generate_data()):
+    if success:
+        succeeded.append(item)
+    else:
+        failed.append(item)
+
+if len(failed) > 0:
+    print(f"There were {len(failed)} errors:")
+    for item in failed:
+        print(item["index"]["error"])
+
+if len(succeeded) > 0:
+    print(f"Bulk-inserted {len(succeeded)} items (streaming_bulk).")
+```

opensearchpy/helpers/actions.py

@@ -442,6 +442,8 @@ def parallel_bulk(
     max_chunk_bytes: int = 100 * 1024 * 1024,
     queue_size: int = 4,
     expand_action_callback: Any = expand_action,
+    raise_on_exception: bool = True,
+    raise_on_error: bool = True,
     ignore_status: Any = (),
     *args: Any,
     **kwargs: Any
@@ -485,7 +487,14 @@ def parallel_bulk(
         for result in pool.imap(
             lambda bulk_chunk: list(
                 _process_bulk_chunk(
-                    client, bulk_chunk[1], bulk_chunk[0], ignore_status, *args, **kwargs
+                    client,
+                    bulk_chunk[1],
+                    bulk_chunk[0],
+                    raise_on_exception,
+                    raise_on_error,
+                    ignore_status,
+                    *args,
+                    **kwargs
                 )
             ),
             _chunk_actions(

samples/bulk/bulk-helpers.py

@@ -12,6 +12,7 @@
 
 
 import os
+from typing import Any
 
 from opensearchpy import OpenSearch, helpers
 
@@ -49,8 +50,57 @@ data = []
 for i in range(100):
     data.append({"_index": index_name, "_id": i, "value": i})
 
+# serialized bulk raising an exception on error
 rc = helpers.bulk(client, data)
-print(f"Bulk-inserted {rc[0]} items.")
+print(f"Bulk-inserted {rc[0]} items (bulk).")
+
+# parallel bulk with explicit error checking
+succeeded = []
+failed = []
+for success, item in helpers.parallel_bulk(
+    client,
+    actions=data,
+    chunk_size=10,
+    raise_on_error=False,
+    raise_on_exception=False,
+    max_chunk_bytes=20 * 1024 * 1024,
+    request_timeout=60,
+):
+    if success:
+        succeeded.append(item)
+    else:
+        failed.append(item)
+
+if len(failed) > 0:
+    print(f"There were {len(failed)} errors:")
+    for item in failed:
+        print(item["index"]["error"])
+
+if len(succeeded) > 0:
+    print(f"Bulk-inserted {len(succeeded)} items (parallel_bulk).")
+
+
+# streaming bulk with a data generator
+def _generate_data() -> Any:
+    for i in range(100):
+        yield {"_index": index_name, "_id": i, "value": i}
+
+
+succeeded = []
+failed = []
+for success, item in helpers.streaming_bulk(client, actions=_generate_data()):
+    if success:
+        succeeded.append(item)
+    else:
+        failed.append(item)
+
+if len(failed) > 0:
+    print(f"There were {len(failed)} errors:")
+    for item in failed:
+        print(item["index"]["error"])
+
+if len(succeeded) > 0:
+    print(f"Bulk-inserted {len(succeeded)} items (streaming_bulk).")
 
 # delete index
 client.indices.delete(index=index_name)

test_opensearchpy/test_helpers/test_actions.py

@@ -67,11 +67,62 @@ class TestParallelBulk(TestCase):
 
         self.assertEqual(50, mock_process_bulk_chunk.call_count)  # type: ignore
 
+    @mock.patch("opensearchpy.OpenSearch.bulk")
+    def test_with_all_options(self, _bulk: Any) -> None:
+        actions = ({"x": i} for i in range(100))
+        list(
+            helpers.parallel_bulk(
+                OpenSearch(),
+                actions=actions,
+                chunk_size=2,
+                raise_on_error=False,
+                raise_on_exception=False,
+                max_chunk_bytes=20 * 1024 * 1024,
+                request_timeout=160,
+                ignore_status=(123),
+            )
+        )
+
+        self.assertEqual(50, _bulk.call_count)
+        _bulk.assert_called_with(
+            '{"index":{}}\n{"x":98}\n{"index":{}}\n{"x":99}\n', request_timeout=160
+        )
+
+    @mock.patch("opensearchpy.helpers.actions._process_bulk_chunk")
+    def test_process_bulk_chunk_with_all_options(
+        self, _process_bulk_chunk: Any
+    ) -> None:
+        actions = ({"x": i} for i in range(100))
+        client = OpenSearch()
+        list(
+            helpers.parallel_bulk(
+                client,
+                actions=actions,
+                chunk_size=2,
+                raise_on_error=True,
+                raise_on_exception=True,
+                max_chunk_bytes=20 * 1024 * 1024,
+                request_timeout=160,
+                ignore_status=(123),
+            )
+        )
+
+        self.assertEqual(50, _process_bulk_chunk.call_count)
+        _process_bulk_chunk.assert_called_with(
+            client,
+            ['{"index":{}}', '{"x":98}', '{"index":{}}', '{"x":99}'],
+            [({"index": {}}, {"x": 98}), ({"index": {}}, {"x": 99})],
+            True,
+            True,
+            123,
+            request_timeout=160,
+        )
+
     @pytest.mark.skip  # type: ignore
     @mock.patch(
         "opensearchpy.helpers.actions._process_bulk_chunk",
         # make sure we spend some time in the thread
-        side_effect=lambda *a: [
+        side_effect=lambda *args, **kwargs: [
             (True, time.sleep(0.001) or threading.current_thread().ident)  # type: ignore
         ],
     )