2013-07-16 20:21:33 -04:00
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#
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# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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2014-08-01 22:38:21 -04:00
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import numbers
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2013-05-06 19:34:30 -04:00
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import os
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2013-07-01 02:20:14 -04:00
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import signal
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2014-08-01 22:38:21 -04:00
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import select
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2013-07-01 02:20:14 -04:00
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import socket
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2013-05-06 19:34:30 -04:00
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import sys
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2013-07-01 02:20:14 -04:00
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import traceback
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2014-08-10 16:00:38 -04:00
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import time
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2014-09-13 19:22:04 -04:00
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import gc
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2015-04-16 19:20:57 -04:00
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from errno import EINTR, EAGAIN
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2013-07-01 02:20:14 -04:00
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from socket import AF_INET, SOCK_STREAM, SOMAXCONN
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2014-10-23 20:20:00 -04:00
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from signal import SIGHUP, SIGTERM, SIGCHLD, SIG_DFL, SIG_IGN, SIGINT
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2015-04-16 19:20:57 -04:00
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2013-05-06 19:34:30 -04:00
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from pyspark.worker import main as worker_main
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2018-04-13 17:28:24 -04:00
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from pyspark.serializers import read_int, write_int, write_with_length, UTF8Deserializer
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2013-05-06 19:34:30 -04:00
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2013-06-21 12:13:48 -04:00
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def compute_real_exit_code(exit_code):
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2014-07-22 01:30:53 -04:00
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# SystemExit's code can be integer or string, but os._exit only accepts integers
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if isinstance(exit_code, numbers.Integral):
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return exit_code
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else:
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return 1
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2013-06-21 12:13:48 -04:00
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2018-04-13 17:28:24 -04:00
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def worker(sock, authenticated):
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2014-08-01 22:38:21 -04:00
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"""
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Called by a worker process after the fork().
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"""
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signal.signal(SIGHUP, SIG_DFL)
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signal.signal(SIGCHLD, SIG_DFL)
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signal.signal(SIGTERM, SIG_DFL)
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2014-10-23 20:20:00 -04:00
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# restore the handler for SIGINT,
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# it's useful for debugging (show the stacktrace before exit)
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signal.signal(SIGINT, signal.default_int_handler)
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2013-05-23 14:50:24 -04:00
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2014-08-01 22:38:21 -04:00
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# Read the socket using fdopen instead of socket.makefile() because the latter
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# seems to be very slow; note that we need to dup() the file descriptor because
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# otherwise writes also cause a seek that makes us miss data on the read side.
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[SPARK-27870][SQL][PYTHON] Add a runtime buffer size configuration for Pandas UDFs
## What changes were proposed in this pull request?
This PR is an alternative approach for #24734.
This PR fixes two things:
1. Respects `spark.buffer.size` in Python workers.
2. Adds a runtime buffer size configuration for Pandas UDFs, `spark.sql.pandas.udf.buffer.size` (which falls back to `spark.buffer.size`.
## How was this patch tested?
Manually tested:
```python
import time
from pyspark.sql.functions import *
spark.conf.set('spark.sql.execution.arrow.maxRecordsPerBatch', '1')
df = spark.range(1, 31, numPartitions=1).select(col('id').alias('a'))
pandas_udf("int", PandasUDFType.SCALAR)
def fp1(x):
print("run fp1")
time.sleep(1)
return x + 100
pandas_udf("int", PandasUDFType.SCALAR)
def fp2(x, y):
print("run fp2")
time.sleep(1)
return x + y
beg_time = time.time()
result = df.select(sum(fp2(fp1('a'), col('a')))).head()
print("result: " + str(result[0]))
print("consume time: " + str(time.time() - beg_time))
```
```
consume time: 62.68265891075134
```
```python
import time
from pyspark.sql.functions import *
spark.conf.set('spark.sql.execution.arrow.maxRecordsPerBatch', '1')
spark.conf.set('spark.sql.pandas.udf.buffer.size', '4')
df = spark.range(1, 31, numPartitions=1).select(col('id').alias('a'))
pandas_udf("int", PandasUDFType.SCALAR)
def fp1(x):
print("run fp1")
time.sleep(1)
return x + 100
pandas_udf("int", PandasUDFType.SCALAR)
def fp2(x, y):
print("run fp2")
time.sleep(1)
return x + y
beg_time = time.time()
result = df.select(sum(fp2(fp1('a'), col('a')))).head()
print("result: " + str(result[0]))
print("consume time: " + str(time.time() - beg_time))
```
```
consume time: 34.00594782829285
```
Closes #24826 from HyukjinKwon/SPARK-27870.
Authored-by: HyukjinKwon <gurwls223@apache.org>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
2019-06-15 07:56:22 -04:00
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buffer_size = int(os.environ.get("SPARK_BUFFER_SIZE", 65536))
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infile = os.fdopen(os.dup(sock.fileno()), "rb", buffer_size)
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outfile = os.fdopen(os.dup(sock.fileno()), "wb", buffer_size)
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2018-04-13 17:28:24 -04:00
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if not authenticated:
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client_secret = UTF8Deserializer().loads(infile)
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if os.environ["PYTHON_WORKER_FACTORY_SECRET"] == client_secret:
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write_with_length("ok".encode("utf-8"), outfile)
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outfile.flush()
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else:
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write_with_length("err".encode("utf-8"), outfile)
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outfile.flush()
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sock.close()
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return 1
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2014-08-01 22:38:21 -04:00
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exit_code = 0
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try:
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worker_main(infile, outfile)
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except SystemExit as exc:
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2014-09-13 19:22:04 -04:00
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exit_code = compute_real_exit_code(exc.code)
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2014-08-01 22:38:21 -04:00
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finally:
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2015-03-12 04:34:38 -04:00
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try:
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outfile.flush()
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except Exception:
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pass
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2014-10-25 04:20:39 -04:00
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return exit_code
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2013-05-06 19:34:30 -04:00
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def manager():
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# Create a new process group to corral our children
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os.setpgid(0, 0)
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# Create a listening socket on the AF_INET loopback interface
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2013-07-01 02:20:14 -04:00
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listen_sock = socket.socket(AF_INET, SOCK_STREAM)
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2013-05-06 19:34:30 -04:00
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listen_sock.bind(('127.0.0.1', 0))
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2014-08-01 22:38:21 -04:00
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listen_sock.listen(max(1024, SOMAXCONN))
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2013-05-06 19:34:30 -04:00
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listen_host, listen_port = listen_sock.getsockname()
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2015-04-16 19:20:57 -04:00
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# re-open stdin/stdout in 'wb' mode
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stdin_bin = os.fdopen(sys.stdin.fileno(), 'rb', 4)
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stdout_bin = os.fdopen(sys.stdout.fileno(), 'wb', 4)
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write_int(listen_port, stdout_bin)
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stdout_bin.flush()
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2013-05-06 19:34:30 -04:00
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2014-08-01 22:38:21 -04:00
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def shutdown(code):
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signal.signal(SIGTERM, SIG_DFL)
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# Send SIGHUP to notify workers of shutdown
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os.kill(0, SIGHUP)
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2018-03-08 06:38:34 -05:00
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sys.exit(code)
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2013-05-06 19:34:30 -04:00
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2014-08-01 22:38:21 -04:00
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def handle_sigterm(*args):
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shutdown(1)
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signal.signal(SIGTERM, handle_sigterm) # Gracefully exit on SIGTERM
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signal.signal(SIGHUP, SIG_IGN) # Don't die on SIGHUP
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2015-04-16 19:20:57 -04:00
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signal.signal(SIGCHLD, SIG_IGN)
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2013-05-06 19:34:30 -04:00
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2014-09-13 19:22:04 -04:00
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reuse = os.environ.get("SPARK_REUSE_WORKER")
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2013-05-06 19:34:30 -04:00
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# Initialization complete
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2013-05-10 18:48:48 -04:00
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try:
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2014-08-01 22:38:21 -04:00
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while True:
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2013-05-10 18:48:48 -04:00
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try:
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2014-08-10 16:00:38 -04:00
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ready_fds = select.select([0, listen_sock], [], [], 1)[0]
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2014-08-01 22:38:21 -04:00
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except select.error as ex:
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if ex[0] == EINTR:
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continue
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else:
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2013-05-10 18:48:48 -04:00
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raise
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2014-08-10 16:00:38 -04:00
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2014-08-01 22:38:21 -04:00
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if 0 in ready_fds:
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2014-08-03 18:52:00 -04:00
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try:
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2015-04-16 19:20:57 -04:00
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worker_pid = read_int(stdin_bin)
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2014-08-03 18:52:00 -04:00
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except EOFError:
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# Spark told us to exit by closing stdin
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shutdown(0)
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try:
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os.kill(worker_pid, signal.SIGKILL)
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except OSError:
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2014-08-06 15:58:24 -04:00
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pass # process already died
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2014-08-03 18:52:00 -04:00
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2014-08-01 22:38:21 -04:00
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if listen_sock in ready_fds:
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2014-08-10 16:00:38 -04:00
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try:
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sock, _ = listen_sock.accept()
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except OSError as e:
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if e.errno == EINTR:
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continue
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raise
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2014-08-01 22:38:21 -04:00
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# Launch a worker process
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try:
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2014-08-03 18:52:00 -04:00
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pid = os.fork()
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2014-08-10 16:00:38 -04:00
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except OSError as e:
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if e.errno in (EAGAIN, EINTR):
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time.sleep(1)
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pid = os.fork() # error here will shutdown daemon
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2014-08-01 22:38:21 -04:00
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else:
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2015-04-16 19:20:57 -04:00
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outfile = sock.makefile(mode='wb')
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2014-08-10 16:00:38 -04:00
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write_int(e.errno, outfile) # Signal that the fork failed
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outfile.flush()
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outfile.close()
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2014-08-01 22:38:21 -04:00
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sock.close()
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2014-08-10 16:00:38 -04:00
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continue
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if pid == 0:
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# in child process
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listen_sock.close()
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2019-07-30 20:10:24 -04:00
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# It should close the standard input in the child process so that
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# Python native function executions stay intact.
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#
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# Note that if we just close the standard input (file descriptor 0),
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# the lowest file descriptor (file descriptor 0) will be allocated,
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# later when other file descriptors should happen to open.
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#
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# Therefore, here we redirects it to '/dev/null' by duplicating
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# another file descriptor for '/dev/null' to the standard input (0).
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# See SPARK-26175.
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devnull = open(os.devnull, 'r')
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os.dup2(devnull.fileno(), 0)
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devnull.close()
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2014-08-10 16:00:38 -04:00
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try:
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2014-09-13 19:22:04 -04:00
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# Acknowledge that the fork was successful
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2015-04-16 19:20:57 -04:00
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outfile = sock.makefile(mode="wb")
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2014-09-13 19:22:04 -04:00
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write_int(os.getpid(), outfile)
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outfile.flush()
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outfile.close()
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2018-04-13 17:28:24 -04:00
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authenticated = False
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2014-09-13 19:22:04 -04:00
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while True:
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2018-04-13 17:28:24 -04:00
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code = worker(sock, authenticated)
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if code == 0:
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authenticated = True
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2014-10-25 04:20:39 -04:00
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if not reuse or code:
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2014-09-13 19:22:04 -04:00
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# wait for closing
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2014-10-25 04:20:39 -04:00
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try:
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while sock.recv(1024):
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pass
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except Exception:
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2014-09-13 19:22:04 -04:00
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pass
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break
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gc.collect()
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2014-08-10 16:00:38 -04:00
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except:
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traceback.print_exc()
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os._exit(1)
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else:
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os._exit(0)
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else:
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2014-08-01 22:38:21 -04:00
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sock.close()
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2014-08-10 16:00:38 -04:00
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2013-05-10 18:48:48 -04:00
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finally:
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2014-08-01 22:38:21 -04:00
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shutdown(1)
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2013-05-06 19:34:30 -04:00
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if __name__ == '__main__':
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manager()
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