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https://issues.apache.org/jira/browse/PIO-192?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16683129#comment-16683129
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ASF GitHub Bot commented on PIO-192:
------------------------------------
marevol commented on a change in pull request #494: [PIO-192] Enhance PySpark
support
URL: https://github.com/apache/predictionio/pull/494#discussion_r232520445
##########
File path: python/pypio/pypio.py
##########
@@ -15,9 +15,35 @@
# limitations under the License.
#
+from __future__ import absolute_import
+
+import sys
+
from pypio.data import PEventStore
-from pypio.workflow import CleanupFunctions
+from pyspark.sql import SparkSession
+from pyspark.sql import utils
+
+
+def init():
+ global spark
+ spark = SparkSession.builder.getOrCreate()
+ global sc
+ sc = spark.sparkContext
+ global sqlContext
+ sqlContext = spark._wrapped
+ global p_event_store
+ p_event_store = PEventStore(spark._jsparkSession, sqlContext)
+ print("Initialized pypio")
+
+
+def find(app_name):
+ return p_event_store.find(app_name)
-p_event_store = PEventStore(spark._jsparkSession, sqlContext)
-cleanup_functions = CleanupFunctions(sqlContext)
+def save(model):
Review comment:
`save_model` would be preferred.
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> Enhance PySpark support
> -----------------------
>
> Key: PIO-192
> URL: https://issues.apache.org/jira/browse/PIO-192
> Project: PredictionIO
> Issue Type: Improvement
> Components: Core
> Affects Versions: 0.13.0
> Reporter: Takako Shimamoto
> Assignee: Takako Shimamoto
> Priority: Major
>
> h3. Summary
> Enhance the pypio, which is the Python API for PIO.
> h3. Goals
> The limitations of the current Python support always force developers to have
> access to sbt. This enhancement will get rid of the build phase.
> h3. Description
> A Python engine template requires 3 files:
> * Python code to specify for the --main-py-file option
> * template.json
> {code:json}
> {"pio": {"version": { "min": "0.14.0-SNAPSHOT" }}}
> {code}
> * engine.json
> {code:json}
> {
> "id": "default",
> "description": "Default settings",
> "engineFactory": "org.apache.predictionio.e2.engine.PythonEngine",
> "algorithms": [
> {
> "name": "default",
> "params": {
> "name": "BHPApp"
> }
> }
> ],
> "serving": {
> "params": {
> "columns": ["prediction"]
> }
> }
> }
> {code}
> h4. pypio module
> Developers can use the pypio module with jupyter notebook and Python code.
> First, import the necessary modules.
> {code:python}
> from pypio import pypio
> {code}
> Once the module in imported, the first step is to initialize the pypio module.
> {code:python}
> pypio.init()
> {code}
> Next, find data from the event store.
> {code:python}
> event_df = pypio.find('BHPApp')
> {code}
> And then, save the model.
> {code:python}
> # model is a PipelineModel, which is produced after a Pipeline’s fit() method
> runs
> pipeline = Pipeline(...)
> model = pipeline.fit(train_df)
> pypio.save(model)
> {code}
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