def _ensure_initialized(cls):
SparkContext._ensure_initialized()
gw = SparkContext._gateway
java_import(gw.jvm, "org.apache.spark.streaming.*")
java_import(gw.jvm, "org.apache.spark.streaming.api.*")
java_import(gw.jvm, "org.apache.spark.streaming.api.java.*")
java_import(gw.jvm, "org.apache.spark.streaming.api.python.*")
# start callback server
# getattr will fallback to JVM, so we cannot test by hasattr()
if "_callback_server" not in gw.__dict__ or gw._callback_server is None:
gw.callback_server_parameters.eager_load = True
gw.callback_server_parameters.daemonize = True
gw.callback_server_parameters.daemonize_connections = True
gw.callback_server_parameters.port = 0
gw.start_callback_server(gw.callback_server_parameters)
cbport = gw._callback_server.server_socket.getsockname()[1]
gw._callback_server.port = cbport
# gateway with real port
gw._python_proxy_port = gw._callback_server.port
# get the GatewayServer object in JVM by ID
jgws = JavaObject("GATEWAY_SERVER", gw._gateway_client)
# update the port of CallbackClient with real port
gw.jvm.PythonDStream.updatePythonGatewayPort(
jgws, gw._python_proxy_port)
_py4j_cleaner = Py4jCallbackConnectionCleaner(gw)
_py4j_cleaner.start()
# register serializer for TransformFunction
# it happens before creating SparkContext when loading from checkpointing
if cls._transformerSerializer is None:
transformer_serializer = TransformFunctionSerializer()
transformer_serializer.init(SparkContext._active_spark_context,
CloudPickleSerializer(), gw)
# SPARK-12511 streaming driver with checkpointing unable to finalize leading to OOM
# There is an issue that Py4J's PythonProxyHandler.finalize blocks forever.
# (https://github.com/bartdag/py4j/pull/184)
#
# Py4j will create a PythonProxyHandler in Java for "transformer_serializer" when
# calling "registerSerializer". If we call "registerSerializer" twice, the second
# PythonProxyHandler will override the first one, then the first one will be GCed and
# trigger "PythonProxyHandler.finalize". To avoid that, we should not call
# "registerSerializer" more than once, so that "PythonProxyHandler" in Java side won't
# be GCed.
#
# TODO Once Py4J fixes this issue, we should upgrade Py4j to the latest version.
transformer_serializer.gateway.jvm.PythonDStream.registerSerializer(
transformer_serializer)
cls._transformerSerializer = transformer_serializer
else:
cls._transformerSerializer.init(SparkContext._active_spark_context,
CloudPickleSerializer(), gw)
def _ensure_initialized(cls):
SparkContext._ensure_initialized()
gw = SparkContext._gateway
java_import(gw.jvm, "org.apache.spark.streaming.*")
java_import(gw.jvm, "org.apache.spark.streaming.api.*")
java_import(gw.jvm, "org.apache.spark.streaming.api.java.*")
java_import(gw.jvm, "org.apache.spark.streaming.api.python.*")
# start callback server
# getattr will fallback to JVM, so we cannot test by hasattr()
if "_callback_server" not in gw.__dict__ or gw._callback_server is None:
gw.callback_server_parameters.eager_load = True
gw.callback_server_parameters.daemonize = True
gw.callback_server_parameters.daemonize_connections = True
gw.callback_server_parameters.port = 0
gw.start_callback_server(gw.callback_server_parameters)
cbport = gw._callback_server.server_socket.getsockname()[1]
gw._callback_server.port = cbport
# gateway with real port
gw._python_proxy_port = gw._callback_server.port
# get the GatewayServer object in JVM by ID
jgws = JavaObject("GATEWAY_SERVER", gw._gateway_client)
# update the port of CallbackClient with real port
gw.jvm.PythonDStream.updatePythonGatewayPort(jgws, gw._python_proxy_port)
_py4j_cleaner = Py4jCallbackConnectionCleaner(gw)
_py4j_cleaner.start()
# register serializer for TransformFunction
# it happens before creating SparkContext when loading from checkpointing
if cls._transformerSerializer is None:
transformer_serializer = TransformFunctionSerializer()
transformer_serializer.init(
SparkContext._active_spark_context, CloudPickleSerializer(), gw)
# SPARK-12511 streaming driver with checkpointing unable to finalize leading to OOM
# There is an issue that Py4J's PythonProxyHandler.finalize blocks forever.
# (https://github.com/bartdag/py4j/pull/184)
#
# Py4j will create a PythonProxyHandler in Java for "transformer_serializer" when
# calling "registerSerializer". If we call "registerSerializer" twice, the second
# PythonProxyHandler will override the first one, then the first one will be GCed and
# trigger "PythonProxyHandler.finalize". To avoid that, we should not call
# "registerSerializer" more than once, so that "PythonProxyHandler" in Java side won't
# be GCed.
#
# TODO Once Py4J fixes this issue, we should upgrade Py4j to the latest version.
transformer_serializer.gateway.jvm.PythonDStream.registerSerializer(
transformer_serializer)
cls._transformerSerializer = transformer_serializer
else:
cls._transformerSerializer.init(
SparkContext._active_spark_context, CloudPickleSerializer(), gw)
def _ensure_initialized(cls):
SparkContext._ensure_initialized()
gw = SparkContext._gateway
java_import(gw.jvm, "org.apache.spark.streaming.*")
java_import(gw.jvm, "org.apache.spark.streaming.api.java.*")
java_import(gw.jvm, "org.apache.spark.streaming.api.python.*")
# start callback server
# getattr will fallback to JVM, so we cannot test by hasattr()
if "_callback_server" not in gw.__dict__ or gw._callback_server is None:
gw.callback_server_parameters.eager_load = True
gw.callback_server_parameters.daemonize = True
gw.callback_server_parameters.daemonize_connections = True
gw.callback_server_parameters.port = 0
gw.start_callback_server(gw.callback_server_parameters)
cbport = gw._callback_server.server_socket.getsockname()[1]
gw._callback_server.port = cbport
# gateway with real port
gw._python_proxy_port = gw._callback_server.port
# get the GatewayServer object in JVM by ID
jgws = JavaObject("GATEWAY_SERVER", gw._gateway_client)
# update the port of CallbackClient with real port
gw.jvm.PythonDStream.updatePythonGatewayPort(
jgws, gw._python_proxy_port)
# register serializer for TransformFunction
# it happens before creating SparkContext when loading from checkpointing
cls._transformerSerializer = TransformFunctionSerializer(
SparkContext._active_spark_context, CloudPickleSerializer(), gw)
def _ensure_initialized(cls):
SparkContext._ensure_initialized()
gw = SparkContext._gateway
java_import(gw.jvm, "org.apache.spark.streaming.*")
java_import(gw.jvm, "org.apache.spark.streaming.api.java.*")
java_import(gw.jvm, "org.apache.spark.streaming.api.python.*")
from pyspark.java_gateway import ensure_callback_server_started
ensure_callback_server_started(gw)
# register serializer for TransformFunction
# it happens before creating SparkContext when loading from checkpointing
cls._transformerSerializer = TransformFunctionSerializer(
SparkContext._active_spark_context, CloudPickleSerializer(), gw)
