PySpark fix / remove console execution bar
As you can see below, the progress bar of the Spark launcher triggers the outputs. Is there a configuration or flag that can be used to disable the scene progress bar? Or better, how do I fix the console log so that the progress bar disappears after completing the stages? This might just be a bug for PySpark, but I'm not sure.
(CID, (v1 / n1, v2 / n2))
[Stage 46:============================================> (19 + 4) / 24]('1', (0.020000000000000035, 4.805))
('5', (6.301249999999998, 0.125))
('10', (21.78000000000001, 3.125))
('7', (0.005000000000000009, 0.6049999999999996))
(CID, sqrt(v1 / n1 + v2 / n2))
('1', 2.19658826364888)
('5', 2.5350049309616733)
('10', 4.990490957811667)
('7', 0.7810249675906652)
(CID, (AD_MEAN, NCI_MEAN))
('7', (1.0, 5.5))
('5', (7.75, 5.3))
('10', (13.5, 6.0))
('1', (3.0, 5.0))
(CID, (AD_MEAN - NCI_MEAN))
('7', -4.5)
('5', 2.45)
('1', -2.0)
('10', 7.5)
(CID, (NUMER, DENOM))
[Stage 100:===================================================> (30 + 2) / 32]('10', (7.5, 4.990490957811667))
('5', (2.45, 2.5350049309616733))
('7', (-4.5, 0.7810249675906652))
('1', (-2.0, 2.19658826364888))
Sometimes it's even worse (scroll right):
$ spark-submit main.py
17/04/28 11:36:23 WARN Utils: Your hostname, Pandora resolves to a loopback address: 127.0.1.1; using 146.95.36.193 instead (on interface wlp3s0)
17/04/28 11:36:23 WARN Utils: Set SPARK_LOCAL_IP if you need to bind to another address
17/04/28 11:36:24 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
[Stage 0:> (0 + 2 [Stage 32:=============================> (4 + 4[Stage 37:> (0 + 0[Stage 35:=====> (4 + 2) / 12][Stage 37:> (0 + 0[Stage 35:===========> (8 + 4) / 12][Stage 37:> (0 + 0[Stage 37:=======> (1 + 3[Stage 37:=============================> (4 + 0[Stage 36:========> (13 + 4) / 24][Stage 37:=========> (4 + 0[Stage 36:==============> (21 + 3) / 24][Stage 37:=========> (4 + 1[Stage 37:====================================> (5 + 3[Stage 38:===================================> (20 + 4)[Stage 38:====================================================> (30 + 2) SORTED (t-value, CID)
[(-5.761659596980321, '7'), (-0.9105029072119708, '1'), (0.9664675480810896, '5'), (1.5028581483070664, '10')]
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2 answers
You can disable by setting
spark.ui.showConsoleProgress
= Incorrect
or
- reduce the logging level to
log4j.properties
higher thanINFO
, that is, toERROR
Relevant Spark Jiras:
spark.ui.showConsoleProgress
has always been in Spark since 1.2, but will only be documented in Spark 2.2.
Sample code:
spark.conf.set('spark.ui.showConsoleProgress', False)
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Tagar's answer didn't work for me in pyspark.
Here's a workaround I found for removing progress bars from the console:
from pyspark import SparkContext, SparkConf
from pyspark.sql.session import SparkSession
conf = SparkConf().set("spark.ui.showConsoleProgress", "false")
sc = SparkContext(appName="RandomForest", conf=conf)
spark = SparkSession(sc)
Hope this helps!
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