Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/18742#discussion_r131782033
--- Diff: python/pyspark/ml/util.py ---
@@ -61,33 +66,86 @@ def _randomUID(cls):
@inherit_doc
-class MLWriter(object):
+class BaseReadWrite(object):
"""
- Utility class that can save ML instances.
+ Base class for MLWriter and MLReader. Stores information about the
SparkContext
+ and SparkSession.
- .. versionadded:: 2.0.0
+ .. versionadded:: 2.3.0
"""
- def save(self, path):
- """Save the ML instance to the input path."""
- raise NotImplementedError("MLWriter is not yet implemented for
type: %s" % type(self))
-
- def overwrite(self):
- """Overwrites if the output path already exists."""
- raise NotImplementedError("MLWriter is not yet implemented for
type: %s" % type(self))
+ def __init__(self):
+ self._sparkSession = None
def context(self, sqlContext):
"""
- Sets the SQL context to use for saving.
+ Sets the Spark SQLContext to use for saving/loading.
.. note:: Deprecated in 2.1 and will be removed in 3.0, use
session instead.
"""
- raise NotImplementedError("MLWriter is not yet implemented for
type: %s" % type(self))
+ raise NotImplementedError("Read/Write is not yet implemented for
type: %s" % type(self))
def session(self, sparkSession):
- """Sets the Spark Session to use for saving."""
+ """
+ Sets the Spark Session to use for saving/loading.
+ """
+ self._sparkSession = sparkSession
+ return self
+
+ @property
+ def sparkSession(self):
+ """
+ Returns the user-specified Spark Session or the default.
+ """
+ if self._sparkSession is None:
+ self._sparkSession = SparkSession.builder.getOrCreate()
+ return self._sparkSession
+
+ @property
+ def sc(self):
+ """
+ Returns the underlying `SparkContext`.
+ """
+ return self.sparkSession.sparkContext
+
+
+@inherit_doc
+class MLWriter(BaseReadWrite):
+ """
+ Utility class that can save ML instances.
+
+ .. versionadded:: 2.0.0
+ """
+
+ def __init__(self):
+ super(MLWriter, self).__init__()
+ self.shouldOverwrite = False
+
+ def _handleOverwrite(self, path):
+ from pyspark.ml.wrapper import JavaWrapper
+
+ _java_obj =
JavaWrapper._new_java_obj("org.apache.spark.ml.util.FileSystemOverwrite")
+ wrapper = JavaWrapper(_java_obj)
+ wrapper._call_java("handleOverwrite", path, True,
self.sc._jsc.sc())
--- End diff --
Let's do that when needed.
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