Ошибка PyArrow при запуске PySpark в сочетании с UDFS Panda в PyCharm - PullRequest
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Ошибка PyArrow при запуске PySpark в сочетании с UDFS Panda в PyCharm

0 голосов
/ 24 октября 2019

Ниже приведен мой код: 

from pyspark.sql import SparkSession
import pandas as pd
from pyspark.sql import functions as sf
from pyspark.sql import types as st

spark = SparkSession.builder.getOrCreate()
data = spark.createDataFrame([[x] for x in "first second third".split()], ['text'])
def foo(text: pd.Series) -> pd.Series:
    return text.transform(lambda x: x[::-1])
foo_udf = sf.pandas_udf(foo, functionType=sf.PandasUDFType.SCALAR, returnType=st.StringType())

ms = pd.Series(["firs", "second", "third"])

foo(ms)  # Works...

data.select('text', foo_udf(sf.col('text'))).show()

Этот код будет хорошо работать в ноутбуке Jupyter 

+------+---------+
|  text|foo(text)|
+------+---------+
| first|    tsrif|
|second|   dnoces|
| third|    driht|
+------+---------+

Когда я запускаю его с консоли Pycharm или в качестве программы, я получаюследующая ошибка 

[Stage 1:>                                                          (0 + 1) / 1]19/10/24 13:25:14 ERROR Executor: Exception in task 0.0 in stage 1.0 (TID 11)
java.lang.IllegalArgumentException
        at java.nio.ByteBuffer.allocate(ByteBuffer.java:334)
        at org.apache.arrow.vector.ipc.message.MessageSerializer.readMessage(MessageSerializer.java:543)
        at org.apache.arrow.vector.ipc.message.MessageChannelReader.readNext(MessageChannelReader.java:58)
        at org.apache.arrow.vector.ipc.ArrowStreamReader.readSchema(ArrowStreamReader.java:132)
        at org.apache.arrow.vector.ipc.ArrowReader.initialize(ArrowReader.java:181)
        at org.apache.arrow.vector.ipc.ArrowReader.ensureInitialized(ArrowReader.java:172)
        at org.apache.arrow.vector.ipc.ArrowReader.getVectorSchemaRoot(ArrowReader.java:65)
        at org.apache.spark.sql.execution.python.ArrowPythonRunner$$anon$1.read(ArrowPythonRunner.scala:162)
        at org.apache.spark.sql.execution.python.ArrowPythonRunner$$anon$1.read(ArrowPythonRunner.scala:122)
        at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:410)
        at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
        at org.apache.spark.sql.execution.python.ArrowEvalPythonExec$$anon$2.<init>(ArrowEvalPythonExec.scala:98)
        at org.apache.spark.sql.execution.python.ArrowEvalPythonExec.evaluate(ArrowEvalPythonExec.scala:96)
        at org.apache.spark.sql.execution.python.EvalPythonExec$$anonfun$doExecute$1.apply(EvalPythonExec.scala:127)
        at org.apache.spark.sql.execution.python.EvalPythonExec$$anonfun$doExecute$1.apply(EvalPythonExec.scala:89)
        at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:801)
        at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:801)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
        at org.apache.spark.scheduler.Task.run(Task.scala:123)
        at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
        at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        at java.lang.Thread.run(Thread.java:748)
19/10/24 13:25:14 WARN TaskSetManager: Lost task 0.0 in stage 1.0 (TID 11, localhost, executor driver): java.lang.IllegalArgumentException
        at java.nio.ByteBuffer.allocate(ByteBuffer.java:334)
        at org.apache.arrow.vector.ipc.message.MessageSerializer.readMessage(MessageSerializer.java:543)
        at org.apache.arrow.vector.ipc.message.MessageChannelReader.readNext(MessageChannelReader.java:58)
        at org.apache.arrow.vector.ipc.ArrowStreamReader.readSchema(ArrowStreamReader.java:132)
        at org.apache.arrow.vector.ipc.ArrowReader.initialize(ArrowReader.java:181)
        at org.apache.arrow.vector.ipc.ArrowReader.ensureInitialized(ArrowReader.java:172)
        at org.apache.arrow.vector.ipc.ArrowReader.getVectorSchemaRoot(ArrowReader.java:65)
        at org.apache.spark.sql.execution.python.ArrowPythonRunner$$anon$1.read(ArrowPythonRunner.scala:162)
        at org.apache.spark.sql.execution.python.ArrowPythonRunner$$anon$1.read(ArrowPythonRunner.scala:122)
        at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:410)
        at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
        at org.apache.spark.sql.execution.python.ArrowEvalPythonExec$$anon$2.<init>(ArrowEvalPythonExec.scala:98)
        at org.apache.spark.sql.execution.python.ArrowEvalPythonExec.evaluate(ArrowEvalPythonExec.scala:96)
        at org.apache.spark.sql.execution.python.EvalPythonExec$$anonfun$doExecute$1.apply(EvalPythonExec.scala:127)
        at org.apache.spark.sql.execution.python.EvalPythonExec$$anonfun$doExecute$1.apply(EvalPythonExec.scala:89)
        at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:801)
        at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:801)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
        at org.apache.spark.scheduler.Task.run(Task.scala:123)
        at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
        at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        at java.lang.Thread.run(Thread.java:748)

19/10/24 13:25:14 ERROR TaskSetManager: Task 0 in stage 1.0 failed 1 times; aborting job
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Users/jorricks/test/myvenv/lib/python3.7/site-packages/pyspark/sql/dataframe.py", line 380, in show
    print(self._jdf.showString(n, 20, vertical))
  File "/Users/jorricks/test/myvenv/lib/python3.7/site-packages/py4j/java_gateway.py", line 1257, in __call__
    answer, self.gateway_client, self.target_id, self.name)
  File "/Users/jorricks/test/myvenv/lib/python3.7/site-packages/pyspark/sql/utils.py", line 63, in deco
    return f(*a, **kw)
  File "/Users/jorricks/test/myvenv/lib/python3.7/site-packages/py4j/protocol.py", line 328, in get_return_value
    format(target_id, ".", name), value)
py4j.protocol.Py4JJavaError: An error occurred while calling o137.showString.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 1.0 failed 1 times, most recent failure: Lost task 0.0 in stage 1.0 (TID 11, localhost, executor driver): java.lang.IllegalArgumentException
        at java.nio.ByteBuffer.allocate(ByteBuffer.java:334)
        at org.apache.arrow.vector.ipc.message.MessageSerializer.readMessage(MessageSerializer.java:543)
        at org.apache.arrow.vector.ipc.message.MessageChannelReader.readNext(MessageChannelReader.java:58)
        at org.apache.arrow.vector.ipc.ArrowStreamReader.readSchema(ArrowStreamReader.java:132)
        at org.apache.arrow.vector.ipc.ArrowReader.initialize(ArrowReader.java:181)
        at org.apache.arrow.vector.ipc.ArrowReader.ensureInitialized(ArrowReader.java:172)
        at org.apache.arrow.vector.ipc.ArrowReader.getVectorSchemaRoot(ArrowReader.java:65)
        at org.apache.spark.sql.execution.python.ArrowPythonRunner$$anon$1.read(ArrowPythonRunner.scala:162)
        at org.apache.spark.sql.execution.python.ArrowPythonRunner$$anon$1.read(ArrowPythonRunner.scala:122)
        at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:410)
        at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
        at org.apache.spark.sql.execution.python.ArrowEvalPythonExec$$anon$2.<init>(ArrowEvalPythonExec.scala:98)
        at org.apache.spark.sql.execution.python.ArrowEvalPythonExec.evaluate(ArrowEvalPythonExec.scala:96)
        at org.apache.spark.sql.execution.python.EvalPythonExec$$anonfun$doExecute$1.apply(EvalPythonExec.scala:127)
        at org.apache.spark.sql.execution.python.EvalPythonExec$$anonfun$doExecute$1.apply(EvalPythonExec.scala:89)
        at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:801)
        at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:801)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
        at org.apache.spark.scheduler.Task.run(Task.scala:123)
        at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
        at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        at java.lang.Thread.run(Thread.java:748)

Driver stacktrace:
        at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1889)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1877)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1876)
        at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
        at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
        at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1876)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:926)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:926)
        at scala.Option.foreach(Option.scala:257)
        at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:926)
        at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2110)
        at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2059)
        at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2048)
        at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
        at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:737)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:2061)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:2082)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:2101)
        at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:365)
        at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:38)
        at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collectFromPlan(Dataset.scala:3389)
        at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2550)
        at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2550)
        at org.apache.spark.sql.Dataset$$anonfun$52.apply(Dataset.scala:3370)
        at org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:78)
        at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:125)
        at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:73)
        at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3369)
        at org.apache.spark.sql.Dataset.head(Dataset.scala:2550)
        at org.apache.spark.sql.Dataset.take(Dataset.scala:2764)
        at org.apache.spark.sql.Dataset.getRows(Dataset.scala:254)
        at org.apache.spark.sql.Dataset.showString(Dataset.scala:291)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
        at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
        at py4j.Gateway.invoke(Gateway.java:282)
        at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
        at py4j.commands.CallCommand.execute(CallCommand.java:79)
        at py4j.GatewayConnection.run(GatewayConnection.java:238)
        at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.IllegalArgumentException
        at java.nio.ByteBuffer.allocate(ByteBuffer.java:334)
        at org.apache.arrow.vector.ipc.message.MessageSerializer.readMessage(MessageSerializer.java:543)
        at org.apache.arrow.vector.ipc.message.MessageChannelReader.readNext(MessageChannelReader.java:58)
        at org.apache.arrow.vector.ipc.ArrowStreamReader.readSchema(ArrowStreamReader.java:132)
        at org.apache.arrow.vector.ipc.ArrowReader.initialize(ArrowReader.java:181)
        at org.apache.arrow.vector.ipc.ArrowReader.ensureInitialized(ArrowReader.java:172)
        at org.apache.arrow.vector.ipc.ArrowReader.getVectorSchemaRoot(ArrowReader.java:65)
        at org.apache.spark.sql.execution.python.ArrowPythonRunner$$anon$1.read(ArrowPythonRunner.scala:162)
        at org.apache.spark.sql.execution.python.ArrowPythonRunner$$anon$1.read(ArrowPythonRunner.scala:122)
        at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:410)
        at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
        at org.apache.spark.sql.execution.python.ArrowEvalPythonExec$$anon$2.<init>(ArrowEvalPythonExec.scala:98)
        at org.apache.spark.sql.execution.python.ArrowEvalPythonExec.evaluate(ArrowEvalPythonExec.scala:96)
        at org.apache.spark.sql.execution.python.EvalPythonExec$$anonfun$doExecute$1.apply(EvalPythonExec.scala:127)
        at org.apache.spark.sql.execution.python.EvalPythonExec$$anonfun$doExecute$1.apply(EvalPythonExec.scala:89)
        at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:801)
        at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:801)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
        at org.apache.spark.scheduler.Task.run(Task.scala:123)
        at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
        at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        ... 1 more

Теперь я ожидаю, что это происходит из-за рабочих, запущенных в python2.7 вместо 3.7. Однако я не могу понять, из-за чего возникает проблема. Например, если это связано с переменными пути. Переменные пути для рабочей среды в ноутбуке jupyter: 

environ{'TERM': 'xterm-color',
        'SHELL': '/bin/bash',
        'TMPDIR': '/var/folders/80/_kx5k5ld0qj_sctg6ylgltpw0000gn/T/',
        'Apple_PubSub_Socket_Render': '/private/tmp/com.apple.launchd.r8oazOw4H3/Render',
        'USER': 'jorricks',
        'SSH_AUTH_SOCK': '/private/tmp/com.apple.launchd.0SJJizXCVn/Listeners',
        '__CF_USER_TEXT_ENCODING': '0x1F5:0x0:0x0',
        'VIRTUAL_ENV': '/Users/jorricks/test/myvenv',
        'PATH': '/Users/jorricks/test/myvenv/bin:/Library/Frameworks/Python.framework/Versions/3.7/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/Library/Frameworks/Python.framework/Versions/3.7/bin',
        'TERMINAL_EMULATOR': 'JetBrains-JediTerm',
        'PWD': '/Users/jorricks/test',
        'XPC_FLAGS': '0x0',
        'PS1': '(myvenv) \\h:\\W \\u\\$ ',
        'XPC_SERVICE_NAME': '0',
        'SHLVL': '1',
        'HOME': '/Users/jorricks',
        'LOGNAME': 'jorricks',
        'LC_CTYPE': 'UTF-8',
        'TOOLBOX_VERSION': '1.16.6016',
        'OLDPWD': '/Users/jorricks',
        '_': '/Users/jorricks/test/myvenv/bin/jupyter',
        '__PYVENV_LAUNCHER__': '/Library/Frameworks/Python.framework/Versions/3.7/bin/python3',
        'KERNEL_LAUNCH_TIMEOUT': '40',
        'JPY_PARENT_PID': '93474',
        'CLICOLOR': '1',
        'PAGER': 'cat',
        'GIT_PAGER': 'cat',
        'MPLBACKEND': 'module://ipykernel.pylab.backend_inline'}

, а для pycharm - 

environ{'PATH': '/Users/jorricks/test/myvenv/bin:/Library/Frameworks/Python.framework/Versions/3.7/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin',
    'PS1': '(myvenv) ',
    'PYDEVD_LOAD_VALUES_ASYNC': 'True',
    'VERSIONER_PYTHON_VERSION': '2.7',
    'LOGNAME': 'jorricks',
    'PYCHARM_MATPLOTLIB_INDEX': '0',
    'XPC_SERVICE_NAME': 'com.jetbrains.pycharm.6424.799AE757-ABE8-485C-B790-D07BEEA17121',
    'PWD': '/Users/jorricks/PycharmProjects/twitter-trending',
    'PYCHARM_HOSTED': '1',
    'TOOLBOX_VERSION': '1.16.6016',
    'PYCHARM_DISPLAY_PORT': '63342',
    'PYCHARM_MATPLOTLIB_INTERACTIVE': 'true',
    'PYTHONPATH': '/Users/jorricks/Library/Application Support/JetBrains/Toolbox/apps/PyCharm-P/ch-1/192.6817.19/PyCharm.app/Contents/helpers/pycharm_matplotlib_backend:/Users/jorricks/Library/Application Support/JetBrains/Toolbox/apps/PyCharm-P/ch-1/192.6817.19/PyCharm.app/Contents/helpers/pycharm_display:/Users/jorricks/Library/Application Support/JetBrains/Toolbox/apps/PyCharm-P/ch-1/192.6817.19/PyCharm.app/Contents/helpers/third_party/thriftpy:/Users/jorricks/Library/Application Support/JetBrains/Toolbox/apps/PyCharm-P/ch-1/192.6817.19/PyCharm.app/Contents/helpers/pydev',
    'SHELL': '/bin/bash',
    'PYTHONIOENCODING': 'UTF-8',
    'VERSIONER_PYTHON_PREFER_32_BIT': 'no',
    'USER': 'jorricks',
    'IPYTHONENABLE': 'True',
    'TMPDIR': '/var/folders/80/_kx5k5ld0qj_sctg6ylgltpw0000gn/T/',
    'SSH_AUTH_SOCK': '/private/tmp/com.apple.launchd.0SJJizXCVn/Listeners',
    'VIRTUAL_ENV': '/Users/jorricks/test/myvenv',
    'XPC_FLAGS': '0x0',
    'PYTHONUNBUFFERED': '1',
    '__CF_USER_TEXT_ENCODING': '0x1F5:0x0:0x0',
    'Apple_PubSub_Socket_Render': '/private/tmp/com.apple.launchd.r8oazOw4H3/Render',
    'LC_CTYPE': 'UTF-8',
    'HOME': '/Users/jorricks',
    '__PYVENV_LAUNCHER__': '/Users/jorricks/test/myvenv/bin/python3',
    'PYSPARK_PYTHON': '/usr/local/bin/python3',
    'PYSPARK_DRIVER_PYTHON': 'ipython3'}

Любые советы приветствуются:)!

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