Hi Hyukjin
Thanks for the links.
At this point I sort of got my eclipse, pyDev, spark, unitTests working. In
my unit test I can run from the cmd line or from with in eclipse a simple
unit test. The test creates a data frame from a text file and calls
df.show()
The last challenge is that it appea
FYI, there is a PR and JIRA for virtualEnv support in PySpark
https://issues.apache.org/jira/browse/SPARK-13587
https://github.com/apache/spark/pull/13599
2018-04-06 7:48 GMT+08:00 Andy Davidson :
> FYI
>
> http://www.learn4master.com/algorithms/pyspark-unit-test-
> set-up-sparkcontext
>
> From
FYI
http://www.learn4master.com/algorithms/pyspark-unit-test-set-up-sparkcontext
From: Andrew Davidson
Date: Wednesday, April 4, 2018 at 5:36 PM
To: "user @spark"
Subject: how to set up pyspark eclipse, pyDev, virtualenv? syntaxError:
yield from walk(
> I am having a heck of a time setting
Thanks for your answers.
The suggested method works when the number of Data Frames is small.
However, I am trying to union >30 Data Frames, and the time to create the
plan is taking longer than the execution, which should not be the case.
Thanks!
--
Cesar
On Thu, Apr 5, 2018 at 1:29 PM, Andy Da
Hi Ceasar
I have used Brandson approach in the past with out any problem
Andy
From: Brandon Geise
Date: Thursday, April 5, 2018 at 11:23 AM
To: Cesar , "user @spark"
Subject: Re: Union of multiple data frames
> Maybe something like
>
> var finalDF = spark.sqlContext.emptyDataFrame
> for
Maybe something like
var finalDF = spark.sqlContext.emptyDataFrame
for (df <- dfs){
finalDF = finalDF.union(df)
}
Where dfs is a Seq of dataframes.
From: Cesar
Date: Thursday, April 5, 2018 at 2:17 PM
To: user
Subject: Union of multiple data frames
The following code
The following code works for small n, but not for large n (>20):
val dfUnion = Seq(df1,df2,df3,...dfn).reduce(_ union _)
dfUnion.show()
By not working, I mean that Spark takes a lot of time to create the
execution plan.
*Is there a more optimal way to perform a union of multiple data frames?*
Hi,
I'm building a monitoring system for Apache Spark and want to set up
default alerts (threshold or anomaly) on 2-3 key metrics everyone who uses
Spark typically wants to alert on, but I don't yet have production-grade
experience with Spark.
Importantly, alert rules have to be generally useful,
Hi,
If I have more than one writeStream in a code, which operates on the same
readStream data, why does it produce only the first writeStream? I want the
second one to be also printed on the console.
How to do that?
from pyspark.sql import SparkSession
from pyspark.sql.functions import split, co
Hi,
Why are inner queries not allowed in Spark Streaming? Spark assumes the
inner query to be a separate stream altogether and expects it to be
triggered with a separate writeStream.start().
Why so?
Error: pyspark.sql.utils.StreamingQueryException: 'Queries with streaming
sources must be execute
Hi,
I want to save an aggregate to a file without using any window, watermark
or groupBy. So, my aggregation is at entire column level.
df = spark.sql("select avg(col1) as aver from ds")
Now, the challenge is as follows -
1) If I use outputMode = Append, but "*Append output mode not supported
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