Table locking & column preallocation

ci/scripts/copyright.py

@@ -462,4 +462,6 @@ def checkCopyright_main():
 }
 
 if __name__ == "__main__":
+    import logging
+    logging.basicConfig(level=logging.DEBUG)
     sys.exit(checkCopyright_main())

docs/source/developer_guide/guides/4_source_cpp_stage.md

@@ -69,6 +69,7 @@ RabbitMQSourceStage(const std::string& host,
                     const std::string& exchange_type        = "fanout"s,
                     const std::string& queue_name           = ""s,
                     std::chrono::milliseconds poll_interval = 100ms);
+
 ~RabbitMQSourceStage() override = default;
 ```
 

examples/developer_guide/2_1_real_world_phishing/recipient_features_stage.py

@@ -17,6 +17,7 @@
 
 import mrc
 
+from morpheus._lib.common import TypeId
 from morpheus.cli.register_stage import register_stage
 from morpheus.config import Config
 from morpheus.config import PipelineModes
@@ -48,6 +49,17 @@ def __init__(self, config: Config, sep_token: str = '[SEP]'):
         else:
             raise ValueError("sep_token cannot be an empty string")
 
+        # This stage adds new columns to the DataFrame, as an optimization we define the columns that are needed,
+        # ensuring that these columns are pre-allocated with null values. This action is performed by Morpheus for any
+        # stage defining this attribute.
+        self._needed_columns.update({
+            'to_count': TypeId.INT32,
+            'bcc_count': TypeId.INT32,
+            'cc_count': TypeId.INT32,
+            'total_recipients': TypeId.INT32,
+            'data': TypeId.STRING
+        })
+
     @property
     def name(self) -> str:
         return "recipient-features"
@@ -59,18 +71,17 @@ def supports_cpp_node(self) -> bool:
         return False
 
     def on_data(self, message: MessageMeta) -> MessageMeta:
-        # Get the DataFrame from the incoming message
-        df = message.df
-
-        df['to_count'] = df['To'].str.count('@')
-        df['bcc_count'] = df['BCC'].str.count('@')
-        df['cc_count'] = df['CC'].str.count('@')
-        df['total_recipients'] = df['to_count'] + df['bcc_count'] + df['cc_count']
-
-        # Attach features to string data
-        df['data'] = (df['to_count'].astype(str) + '[SEP]' + df['bcc_count'].astype(str) + '[SEP]' +
-                      df['cc_count'].astype(str) + '[SEP]' + df['total_recipients'].astype(str) + '[SEP]' +
-                      df['Message'])
+        # Open the DataFrame from the incoming message for in-place modification
+        with message.mutable_dataframe() as df:
+            df['to_count'] = df['To'].str.count('@')
+            df['bcc_count'] = df['BCC'].str.count('@')
+            df['cc_count'] = df['CC'].str.count('@')
+            df['total_recipients'] = df['to_count'] + df['bcc_count'] + df['cc_count']
+
+            # Attach features to string data
+            df['data'] = (df['to_count'].astype(str) + self._sep_token + df['bcc_count'].astype(str) + self._sep_token +
+                          df['cc_count'].astype(str) + self._sep_token + df['total_recipients'].astype(str) +
+                          self._sep_token + df['Message'])
 
         # Return the message for the next stage
         return message

examples/developer_guide/2_2_rabbitmq/rabbitmq_source_stage.py

@@ -26,14 +26,15 @@
 from morpheus.cli.register_stage import register_stage
 from morpheus.config import Config
 from morpheus.messages.message_meta import MessageMeta
+from morpheus.pipeline.preallocator_mixin import PreallocatorMixin
 from morpheus.pipeline.single_output_source import SingleOutputSource
 from morpheus.pipeline.stream_pair import StreamPair
 
 logger = logging.getLogger(__name__)
 
 
 @register_stage("from-rabbitmq")
-class RabbitMQSourceStage(SingleOutputSource):
+class RabbitMQSourceStage(PreallocatorMixin, SingleOutputSource):
     """
     Source stage used to load messages from a RabbitMQ queue.
 

examples/developer_guide/4_rabbitmq_cpp_stage/rabbitmq_source_stage.py

@@ -27,14 +27,15 @@
 from morpheus.cli.register_stage import register_stage
 from morpheus.config import Config
 from morpheus.messages.message_meta import MessageMeta
+from morpheus.pipeline.preallocator_mixin import PreallocatorMixin
 from morpheus.pipeline.single_output_source import SingleOutputSource
 from morpheus.pipeline.stream_pair import StreamPair
 
 logger = logging.getLogger(__name__)
 
 
 @register_stage("from-rabbitmq")
-class RabbitMQSourceStage(SingleOutputSource):
+class RabbitMQSourceStage(PreallocatorMixin, SingleOutputSource):
     """
     Source stage used to load messages from a RabbitMQ queue.
 

examples/digital_fingerprinting/production/docker-compose.yml

@@ -40,6 +40,7 @@ services:
       dockerfile: ./Dockerfile
       target: jupyter
       args:
+        - MORPHEUS_CONTAINER=${MORPHEUS_CONTAINER:-nvcr.io/nvidia/morpheus/morpheus}
         - MORPHEUS_CONTAINER_VERSION=${MORPHEUS_CONTAINER_VERSION:-v23.01.00-runtime}
     deploy:
       resources:
@@ -71,6 +72,7 @@ services:
       dockerfile: ./Dockerfile
       target: runtime
       args:
+        - MORPHEUS_CONTAINER=${MORPHEUS_CONTAINER:-nvcr.io/nvidia/morpheus/morpheus}
         - MORPHEUS_CONTAINER_VERSION=${MORPHEUS_CONTAINER_VERSION:-v23.01.00-runtime}
     image: dfp_morpheus
     container_name: morpheus_pipeline

examples/digital_fingerprinting/production/morpheus/dfp/messages/multi_dfp_message.py

@@ -16,13 +16,15 @@
 import logging
 import typing
 
+import pandas as pd
+
 from morpheus.messages.message_meta import MessageMeta
 from morpheus.messages.multi_message import MultiMessage
 
 logger = logging.getLogger(__name__)
 
 
-@dataclasses.dataclass
+@dataclasses.dataclass(init=False)
 class DFPMessageMeta(MessageMeta, cpp_class=None):
     """
     This class extends MessageMeta to also hold userid corresponding to batched metadata.
@@ -37,11 +39,15 @@ class DFPMessageMeta(MessageMeta, cpp_class=None):
     """
     user_id: str
 
+    def __init__(self, df: pd.DataFrame, user_id: str) -> None:
+        super().__init__(df)
+        self.user_id = user_id
+
     def get_df(self):
         return self.df
 
     def set_df(self, df):
-        self.df = df
+        self._df = df
 
 
 @dataclasses.dataclass

examples/digital_fingerprinting/production/morpheus/dfp/stages/dfp_file_to_df.py

@@ -35,6 +35,7 @@
 from morpheus._lib.common import FileTypes
 from morpheus.config import Config
 from morpheus.io.deserializers import read_file_to_df
+from morpheus.pipeline.preallocator_mixin import PreallocatorMixin
 from morpheus.pipeline.single_port_stage import SinglePortStage
 from morpheus.pipeline.stream_pair import StreamPair
 from morpheus.utils.column_info import DataFrameInputSchema
@@ -78,7 +79,7 @@ def _single_object_to_dataframe(file_object: fsspec.core.OpenFile,
     return s3_df
 
 
-class DFPFileToDataFrameStage(SinglePortStage):
+class DFPFileToDataFrameStage(PreallocatorMixin, SinglePortStage):
 
     def __init__(self,
                  c: Config,

examples/sid_visualization/run.py

@@ -26,6 +26,7 @@
 from morpheus.config import PipelineModes
 from morpheus.io.deserializers import read_file_to_df
 from morpheus.pipeline.linear_pipeline import LinearPipeline
+from morpheus.pipeline.preallocator_mixin import PreallocatorMixin
 from morpheus.pipeline.single_output_source import SingleOutputSource
 from morpheus.pipeline.stream_pair import StreamPair
 from morpheus.stages.general.monitor_stage import MonitorStage
@@ -39,7 +40,7 @@
 from morpheus.utils.logger import configure_logging
 
 
-class NLPVizFileSource(SingleOutputSource):
+class NLPVizFileSource(PreallocatorMixin, SingleOutputSource):
     """
     Source stage is used to load messages from a file and dumping the contents into the pipeline immediately. Useful for
     testing performance and accuracy of a pipeline.

morpheus/_lib/cmake/libraries/cuda_utils.cmake

@@ -19,8 +19,7 @@ find_package(pybind11 REQUIRED)
 # Place the two cuda sources in their own target and disable IWYU for that target.
 add_library(cuda_utils_objs
   OBJECT
-    ${MORPHEUS_LIB_ROOT}/src/utilities/matx_util.cu
-    ${MORPHEUS_LIB_ROOT}/src/utilities/type_util.cu
+      ${MORPHEUS_LIB_ROOT}/src/utilities/matx_util.cu
 )
 
 set_target_properties(
@@ -51,11 +50,12 @@ target_link_libraries(cuda_utils_objs
 add_library(cuda_utils
     SHARED
     $<TARGET_OBJECTS:cuda_utils_objs>
+      ${MORPHEUS_LIB_ROOT}/src/objects/data_table.cpp
       ${MORPHEUS_LIB_ROOT}/src/objects/dev_mem_info.cpp
+      ${MORPHEUS_LIB_ROOT}/src/objects/dtype.cpp
       ${MORPHEUS_LIB_ROOT}/src/objects/table_info.cpp
       ${MORPHEUS_LIB_ROOT}/src/objects/tensor_object.cpp
       ${MORPHEUS_LIB_ROOT}/src/utilities/tensor_util.cpp
-      ${MORPHEUS_LIB_ROOT}/src/utilities/type_util_detail.cpp
 )
 
 target_include_directories(cuda_utils

morpheus/_lib/cmake/libraries/morpheus.cmake

@@ -34,6 +34,7 @@ add_library(morpheus
     ${MORPHEUS_LIB_ROOT}/src/messages/multi_tensor.cpp
     ${MORPHEUS_LIB_ROOT}/src/objects/fiber_queue.cpp
     ${MORPHEUS_LIB_ROOT}/src/objects/file_types.cpp
+    ${MORPHEUS_LIB_ROOT}/src/objects/mutable_table_ctx_mgr.cpp
     ${MORPHEUS_LIB_ROOT}/src/objects/wrapped_tensor.cpp
     ${MORPHEUS_LIB_ROOT}/src/objects/python_data_table.cpp
     ${MORPHEUS_LIB_ROOT}/src/objects/rmm_tensor.cpp
@@ -44,6 +45,7 @@ add_library(morpheus
     ${MORPHEUS_LIB_ROOT}/src/stages/file_source.cpp
     ${MORPHEUS_LIB_ROOT}/src/stages/filter_detection.cpp
     ${MORPHEUS_LIB_ROOT}/src/stages/kafka_source.cpp
+    ${MORPHEUS_LIB_ROOT}/src/stages/preallocate.cpp
     ${MORPHEUS_LIB_ROOT}/src/stages/preprocess_fil.cpp
     ${MORPHEUS_LIB_ROOT}/src/stages/preprocess_nlp.cpp
     ${MORPHEUS_LIB_ROOT}/src/stages/serialize.cpp

morpheus/_lib/cudf_helpers.pyx

@@ -37,23 +37,17 @@ from cudf._lib.utils cimport table_view_from_table
 
 cdef extern from "morpheus/objects/table_info.hpp" namespace "morpheus" nogil:
 
-    cdef cppclass IDataTable:
-        IDataTable()
 
-    cdef cppclass TableInfo:
-        TableInfo()
-        TableInfo(shared_ptr[const IDataTable] parent,
-                  table_view view,
-                  vector[string] index_names,
-                  vector[string] column_names)
+    cdef cppclass TableInfoData:
+        TableInfoData()
+        TableInfoData(table_view view,
+                      vector[string] indices,
+                      vector[string] columns)
 
-        table_view get_view() const
-        vector[string] get_index_names()
-        vector[string] get_column_names() const
+        table_view table_view
+        vector[string] index_names
+        vector[string] column_names
 
-        int num_indices() const
-        int num_columns() const
-        int num_rows() const
 
 cdef public api:
     object make_table_from_table_with_metadata(table_with_metadata table, int index_col_count):
@@ -83,19 +77,8 @@ cdef public api:
 
         return cudf.DataFrame._from_data(data, index)
 
-    object make_table_from_table_info(TableInfo info, object owner):
 
-        i_names = info.get_index_names()
-        c_names = info.get_column_names()
-
-        index_names = [x.decode() for x in i_names]
-        column_names = [x.decode() for x in c_names]
-
-        data, index = data_from_table_view(info.get_view(), owner, column_names=column_names, index_names=index_names)
-
-        return cudf.DataFrame._from_data(data, index)
-
-    TableInfo make_table_info_from_table(object table, shared_ptr[const IDataTable] parent):
+    TableInfoData make_table_info_data_from_table(object table):
 
         cdef vector[string] temp_col_names = get_column_names(table, True)
 
@@ -123,4 +106,4 @@ cdef public api:
 
             column_names.push_back(str.encode(name))
 
-        return TableInfo(parent, input_table_view, index_names, column_names)
+        return TableInfoData(input_table_view, index_names, column_names)

morpheus/_lib/include/morpheus/io/serializers.hpp

@@ -55,18 +55,22 @@ void df_to_csv(const TableInfo& tbl, std::ostream& out_stream, bool include_head
  * @param tbl : A wrapper around data in the dataframe
  * @param include_index_col : Determines whether or not to include the dataframe index
  * @return std::string
+ *
+ * Note the include_index_col is currently being ignored in both versions of `df_to_json` due to a known issue in
+ * Pandas: https://github.com/pandas-dev/pandas/issues/37600
+ * Requires MutableTableInfo since there is no C++ implementation of the JSON writer
  */
-// Note the include_index_col is currently being ignored in both versions of `df_to_json` due to a known issue in
-// Pandas: https://github.com/pandas-dev/pandas/issues/37600
-std::string df_to_json(const TableInfo& tbl, bool include_index_col = true);
+std::string df_to_json(MutableTableInfo& tbl, bool include_index_col = true);
 
 /**
  * @brief Serialize a dataframe into a JSON formatted string
  * @param tbl : A wrapper around data in the dataframe
  * @param out_stream : Output stream to write the results to a destination
  * @param include_index_col : Determines whether or not to include the dataframe index
+ *
+ * Requires MutableTableInfo since there is no C++ implementation of the JSON writer
  */
-void df_to_json(const TableInfo& tbl, std::ostream& out_stream, bool include_index_col = true);
+void df_to_json(MutableTableInfo& tbl, std::ostream& out_stream, bool include_index_col = true);
 
 /** @} */  // end of group
 }  // namespace morpheus