Elasticsearch Sink Module

docker/conda/environments/cuda11.8_dev.yml

@@ -43,6 +43,7 @@ dependencies:
     - dill
     - docker-py=5.0
     - docutils
+    - elasticsearch==8.9.0
     - faker=12.3.0
     - feedparser=6.0.10
     - flake8

docs/source/modules/core/write_to_elasticsearch.md

@@ -0,0 +1,45 @@
+<!--
+SPDX-FileCopyrightText: Copyright (c) 2022-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-License-Identifier: Apache-2.0
+
+Licensed 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.
+-->
+
+## Write to Elasticsearch Module
+
+This module reads an input data stream, converts each row of data to a document format suitable for Elasticsearch, and writes the documents to the specified Elasticsearch index using the Elasticsearch bulk API.
+
+### Configurable Parameters
+
+| Parameter               | Type         | Description                                                                                             | Example Value                 | Default Value |
+|-------------------------|--------------|---------------------------------------------------------------------------------------------------------|-------------------------------|---------------|
+| `index`                 | str          | Elasticsearch index.                                                                                   | "my_index"                    | `[Required]`             |
+| `connection_kwargs`     | dict         | Elasticsearch connection kwargs configuration.                                                        | {"hosts": ["host": "localhost", ...}    | `[Required]`             |
+| `raise_on_exception`    | bool         | Raise or suppress exceptions when writing to Elasticsearch.                                           | true                          | `false`         |
+| `pickled_func_config`   | str          | Pickled custom function configuration to update connection_kwargs as needed for the client connection. | See below     | None          |
+| `refresh_period_secs`   | int          | Time in seconds to refresh the client connection.                                                      | 3600                          | `2400`          |
+
+### Example JSON Configuration
+
+```json
+{
+  "index": "test_index",
+  "connection_kwargs": {"hosts": [{"host": "localhost", "port": 9200, "scheme": "http"}]},
+  "raise_on_exception": true,
+  "pickled_func_config": {
+    "pickled_func_str": "pickled function as a string",
+    "encoding": "latin1"
+  },
+  "refresh_period_secs": 2400
+}
+```

docs/source/modules/index.md

@@ -31,10 +31,10 @@ limitations under the License.
 ./core/filter_detections.md
 ./core/from_control_message.md
 ./core/mlflow_model_writer.md
-./core/multiplexer.md
 ./core/payload_batcher.md
 ./core/serialize.md
 ./core/to_control_message.md
+./core/write_to_elasticsearch.md
 ./core/write_to_file.md
 ```
 

morpheus/cli/commands.py

@@ -675,6 +675,9 @@ def post_pipeline(ctx: click.Context, *args, **kwargs):
 add_command("preprocess", "morpheus.stages.preprocess.preprocess_nlp_stage.PreprocessNLPStage", modes=NLP_ONLY)
 add_command("serialize", "morpheus.stages.postprocess.serialize_stage.SerializeStage", modes=ALL)
 add_command("timeseries", "morpheus.stages.postprocess.timeseries_stage.TimeSeriesStage", modes=AE_ONLY)
+add_command("to-elasticsearch",
+            "morpheus.stages.output.write_to_elasticsearch_stage.WriteToElasticsearchStage",
+            modes=ALL)
 add_command("to-file", "morpheus.stages.output.write_to_file_stage.WriteToFileStage", modes=ALL)
 add_command("to-kafka", "morpheus.stages.output.write_to_kafka_stage.WriteToKafkaStage", modes=ALL)
 add_command("to-http", "morpheus.stages.output.http_client_sink_stage.HttpClientSinkStage", modes=ALL)

morpheus/controllers/elasticsearch_controller.py

@@ -0,0 +1,163 @@
+# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+#
+# Licensed 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.
+
+import logging
+import time
+
+import pandas as pd
+from elasticsearch import ConnectionError as ESConnectionError
+from elasticsearch import Elasticsearch
+from elasticsearch.helpers import parallel_bulk
+
+logger = logging.getLogger(__name__)
+
+
+class ElasticsearchController:
+    """
+    ElasticsearchController to perform read and write operations using Elasticsearch service.
+
+    Parameters
+    ----------
+    connection_kwargs : dict
+        Keyword arguments to configure the Elasticsearch connection.
+    raise_on_exception : bool, optional, default: False
+        Whether to raise exceptions on Elasticsearch errors.
+    refresh_period_secs : int, optional, default: 2400
+        The refresh period in seconds for client refreshing.
+    """
+
+    def __init__(self, connection_kwargs: dict, raise_on_exception: bool = False, refresh_period_secs: int = 2400):
+
+        self._client = None
+        self._last_refresh_time = None
+        self._raise_on_exception = raise_on_exception
+        self._refresh_period_secs = refresh_period_secs
+
+        if connection_kwargs is not None and not connection_kwargs:
+            raise ValueError("Connection kwargs cannot be none or empty.")
+
+        self._connection_kwargs = connection_kwargs
+
+        logger.debug("Creating Elasticsearch client with configuration: %s", connection_kwargs)
+
+        self.refresh_client(force=True)
+
+        logger.debug("Elasticsearch cluster info: %s", self._client.info)
+        logger.debug("Creating Elasticsearch client... Done!")
+
+    def refresh_client(self, force: bool = False) -> bool:
+        """
+        Refresh the Elasticsearch client instance.
+
+        Parameters
+        ----------
+        force : bool, optional, default: False
+            Force a client refresh.
+
+        Returns
+        -------
+        bool
+            Returns true if client is refreshed, otherwise false.
+        """
+
+        is_refreshed = False
+        time_now = time.time()
+        if force or self._client is None or time_now - self._last_refresh_time >= self._refresh_period_secs:
+            if self._client:
+                try:
+                    # Close the existing client
+                    self.close_client()
+                except Exception as ex:
+                    logger.warning("Ignoring client close error: %s", ex)
+            logger.debug("Refreshing Elasticsearch client....")
+
+            # Create Elasticsearch client
+            self._client = Elasticsearch(**self._connection_kwargs)
+
+            # Check if the client is connected
+            if self._client.ping():
+                logger.debug("Elasticsearch client is connected.")
+            else:
+                raise ESConnectionError("Elasticsearch client is not connected.")
+
+            logger.debug("Refreshing Elasticsearch client.... Done!")
+            self._last_refresh_time = time.time()
+            is_refreshed = True
+
+        return is_refreshed
+
+    def parallel_bulk_write(self, actions) -> None:
+        """
+        Perform parallel bulk writes to Elasticsearch.
+
+        Parameters
+        ----------
+        actions : list
+            List of actions to perform in parallel.
+        """
+
+        for success, info in parallel_bulk(self._client, actions=actions, raise_on_exception=self._raise_on_exception):
+            if not success:
+                logger.error("Error writing to ElasticSearch: %s", str(info))
+
+    def search_documents(self, index: str, query: dict, **kwargs) -> dict:
+        """
+        Search for documents in Elasticsearch based on the given query.
+
+        Parameters
+        ----------
+        index : str
+            The name of the index to search.
+        query : dict
+            The DSL query for the search.
+        **kwargs
+            Additional keyword arguments that are supported by the Elasticsearch search method.
+
+        Returns
+        -------
+        dict
+            The search result returned by Elasticsearch.
+        """
+
+        try:
+            result = self._client.search(index=index, query=query, **kwargs)
+            return result
+        except Exception as exc:
+            logger.error("Error searching documents: %s", exc)
+            if self._raise_on_exception:
+                raise RuntimeError(f"Error searching documents: {exc}") from exc
+
+            return {}
+
+    def df_to_parallel_bulk_write(self, index: str, df: pd.DataFrame) -> None:
+        """
+        Converts DataFrames to actions and parallel bulk writes to Elasticsearch.
+
+        Parameters
+        ----------
+        index : str
+            The name of the index to write.
+        df : pd.DataFrame
+            DataFrame entries that require writing to Elasticsearch.
+        """
+
+        actions = [{"_index": index, "_source": row} for row in df.to_dict("records")]
+
+        self.parallel_bulk_write(actions)  # Parallel bulk upload to Elasticsearch
+
+    def close_client(self) -> None:
+        """
+        Close the Elasticsearch client connection.
+        """
+        self._client.close()

morpheus/modules/__init__.py

@@ -14,6 +14,7 @@
 """
 Morpheus module definitions, each module is automatically registered when imported
 """
+from morpheus._lib import modules
 # When segment modules are imported, they're added to the module registry.
 # To avoid flake8 warnings about unused code, the noqa flag is used during import.
 from morpheus.modules import file_batcher
@@ -26,8 +27,8 @@
 from morpheus.modules import payload_batcher
 from morpheus.modules import serialize
 from morpheus.modules import to_control_message
+from morpheus.modules import write_to_elasticsearch
 from morpheus.modules import write_to_file
-from morpheus._lib import modules
 
 __all__ = [
     "file_batcher",
@@ -41,5 +42,6 @@
     "payload_batcher",
     "serialize",
     "to_control_message",
-    "write_to_file"
+    "write_to_file",
+    "write_to_elasticsearch"
 ]

morpheus/modules/write_to_elasticsearch.py

@@ -0,0 +1,84 @@
+# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+#
+# Licensed 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.
+
+import logging
+import pickle
+
+import mrc
+from mrc.core import operators as ops
+
+from morpheus.controllers.elasticsearch_controller import ElasticsearchController
+from morpheus.messages import ControlMessage
+from morpheus.utils.module_ids import MORPHEUS_MODULE_NAMESPACE
+from morpheus.utils.module_ids import WRITE_TO_ELASTICSEARCH
+from morpheus.utils.module_utils import register_module
+
+logger = logging.getLogger(__name__)
+
+
+@register_module(WRITE_TO_ELASTICSEARCH, MORPHEUS_MODULE_NAMESPACE)
+def write_to_elasticsearch(builder: mrc.Builder):
+    """
+    This module reads input data stream, converts each row of data to a document format suitable for Elasticsearch,
+    and writes the documents to the specified Elasticsearch index using the Elasticsearch bulk API.
+
+    Parameters
+    ----------
+    builder : mrc.Builder
+        An mrc Builder object.
+    """
+
+    config = builder.get_current_module_config()
+
+    index = config.get("index", None)
+
+    if index is None:
+        raise ValueError("Index must not be None.")
+
+    connection_kwargs = config.get("connection_kwargs")
+
+    if not isinstance(connection_kwargs, dict):
+        raise ValueError(f"Expects `connection_kwargs` as a dictionary, but it is of type {type(connection_kwargs)}")
+
+    raise_on_exception = config.get("raise_on_exception", False)
+    pickled_func_config = config.get("pickled_func_config", None)
+    refresh_period_secs = config.get("refresh_period_secs", 2400)
+
+    if pickled_func_config:
+        pickled_func_str = pickled_func_config.get("pickled_func_str")
+        encoding = pickled_func_config.get("encoding")
+
+        if pickled_func_str and encoding:
+            connection_kwargs_update_func = pickle.loads(bytes(pickled_func_str, encoding))
+            connection_kwargs = connection_kwargs_update_func(connection_kwargs)
+
+    controller = ElasticsearchController(connection_kwargs=connection_kwargs,
+                                         raise_on_exception=raise_on_exception,
+                                         refresh_period_secs=refresh_period_secs)
+
+    def on_data(message: ControlMessage):
+
+        controller.refresh_client()
+
+        df = message.payload().df.to_pandas()
+
+        controller.df_to_parallel_bulk_write(index=index, df=df)
+
+        return message
+
+    node = builder.make_node(WRITE_TO_ELASTICSEARCH, ops.map(on_data), ops.on_completed(controller.close_client))
+
+    # Register input and output port for a module.
+    builder.register_module_input("input", node)
+    builder.register_module_output("output", node)