Make the example profile comments and the Lite file name match the code

device-detection/fiftyone_devicedetection_examples/src/fiftyone_devicedetection_examples/onpremise/gettingstarted_console.py

@@ -65,9 +65,11 @@ def run(self, data_file, logger, output):
         # https://51degrees.com/documentation/_pipeline_api__concepts__configuration__builders__index.html?utm_source=code&utm_medium=example&utm_campaign=51degrees-python&utm_content=fiftyone_devicedetection_examples-src-fiftyone_devicedetection_examples-onpremise-gettingstarted_console.py&utm_term=run
         pipeline = DeviceDetectionPipelineBuilder(
             data_file_path = data_file,
-            # We use the low memory profile as its performance is
-            # sufficient for this example. See the documentation for
-            # more detail on this and other configuration options:
+            # We use the MaxPerformance profile, which loads the whole data
+            # file into memory. The free Lite data file is about 35 MB, so
+            # that costs little memory and gives the fastest detections.
+            # See the documentation for more detail on this and other
+            # configuration options:
             # https://51degrees.com/documentation/_device_detection__features__performance_options.html?utm_source=code&utm_medium=example&utm_campaign=51degrees-python&utm_content=fiftyone_devicedetection_examples-src-fiftyone_devicedetection_examples-onpremise-gettingstarted_console.py&utm_term=run
             # https://51degrees.com/documentation/_pipeline_api__features__automatic_datafile_updates.html?utm_source=code&utm_medium=example&utm_campaign=51degrees-python&utm_content=fiftyone_devicedetection_examples-src-fiftyone_devicedetection_examples-onpremise-gettingstarted_console.py&utm_term=run
             # https://51degrees.com/documentation/_pipeline_api__features__usage_sharing.html?utm_source=code&utm_medium=example&utm_campaign=51degrees-python&utm_content=fiftyone_devicedetection_examples-src-fiftyone_devicedetection_examples-onpremise-gettingstarted_console.py&utm_term=run

ip-intelligence/fiftyone_ipintelligence/readme.md

@@ -25,7 +25,7 @@ pipeline = IpIntelligencePipelineBuilder(resource_key="YOUR_RESOURCE_KEY").build
 
 # On-premise
 pipeline = IpIntelligencePipelineBuilder(
-    data_file_path="51Degrees-LiteIpiV41.ipi",
+    data_file_path="51Degrees-LiteV41.ipi",
     licence_keys="",
     usage_sharing=False).build()
 

ip-intelligence/fiftyone_ipintelligence_examples/src/fiftyone_ipintelligence_examples/onpremise/datafileupdate_console.py

@@ -188,6 +188,9 @@ def run(self, data_file, license_key, interactive, logger, output):
             # is configured to use a temporary copy.
             data_file_path = data_file,
             create_temp_data_copy = True,
+            # The Enterprise data file is large, so the LowMemory profile
+            # reads it from disk rather than holding parts of it in memory.
+            performance_profile = "LowMemory",
             # The update listener notifies us when an update is complete.
             data_file_update_service = update_service,
             # A license key is required for automatic updates.

ip-intelligence/fiftyone_ipintelligence_examples/src/fiftyone_ipintelligence_examples/onpremise/performance_console.py

@@ -35,9 +35,12 @@
 #
 # The native engine holds the Python GIL for the duration of each lookup, so
 # threads cannot run lookups in parallel. Parallelism therefore uses worker
-# processes, each building its own pipeline. With the LowMemory profile the
-# memory mapped data file is shared between the processes by the operating
-# system, so a large enterprise data file is not duplicated per worker.
+# processes, each building its own pipeline. With the default MaxPerformance
+# profile each worker loads the whole data file into its own memory, so the
+# memory used grows with the number of workers. With -p LowMemory each worker
+# reads the data file from disk as it needs it, and the operating system's
+# file cache holds one copy for all the workers, so a large Enterprise data
+# file is not held once per worker.
 #
 # Required PyPi Dependencies:
 # - fiftyone_ipintelligence