response = "mi_or_chd_5"
outcome = sqlc.sql("""select eid,{response} as response
from outcomes
where {response} IS NOT NULL""".format(response=response))
outcome.write.parquet(response, mode="overwrite") # Success
print…
I've got this JSON file
{
"a": 1,
"b": 2
}
which has been obtained with Python json.dump method.
Now, I want to read this file into a DataFrame in Spark, using pyspark. Following documentation, I'm doing this
sc = SparkContext()
sqlc =…
I'm trying to load an SVM file and convert it to a DataFrame so I can use the ML module (Pipeline ML) from Spark.
I've just installed a fresh Spark 1.5.0 on an Ubuntu 14.04 (no spark-env.sh configured).
My my_script.py is:
from pyspark.mllib.util…
I am currently on JRE: 1.8.0_181, Python: 3.6.4, spark: 2.3.2
I am trying to execute following code in Python:
from pyspark.sql import SparkSession
spark = SparkSession.builder.appName('Basics').getOrCreate()
This fails with following…
I have a Spark SQL DataFrame with date column, and what I'm trying to get is all the rows preceding current row in a given date range. So for example I want to have all the rows from 7 days back preceding given row. I figured out, I need to use a…
I want to filter a Pyspark DataFrame with a SQL-like IN clause, as in
sc = SparkContext()
sqlc = SQLContext(sc)
df = sqlc.sql('SELECT * from my_df WHERE field1 IN a')
where a is the tuple (1, 2, 3). I am getting this…
I would like to read in a file with the following structure with Apache Spark.
628344092\t20070220\t200702\t2007\t2007.1370
The delimiter is \t. How can I implement this while using spark.read.csv()?
The csv is much too big to use pandas because…
My current Java/Spark Unit Test approach works (detailed here) by instantiating a SparkContext using "local" and running unit tests using JUnit.
The code has to be organized to do I/O in one function and then call another with multiple RDDs.
This…
I want to filter a DataFrame using a condition related to the length of a column, this question might be very easy but I didn't find any related question in the SO.
More specific, I have a DataFrame with only one Column which of…
I was using pyspark on AWS EMR (4 r5.xlarge as 4 workers, each has one executor and 4 cores), and I got AttributeError: Can't get attribute 'new_block' on
I am a spark application with several points where I would like to persist the current state. This is usually after a large step, or caching a state that I would like to use multiple times. It appears that when I call cache on my dataframe a second…
I found PySpark has a method called drop but it seems it can only drop one column at a time. Any ideas about how to drop multiple columns at the same time?
df.drop(['col1','col2'])
TypeError Traceback (most recent…
I need the resulting data frame in the line below, to have an alias name "maxDiff" for the max('diff') column after groupBy. However, the below line does not makeany change, nor throw an error.
grpdf =…
I am writing a Spark application and want to combine a set of Key-Value pairs (K, V1), (K, V2), ..., (K, Vn) into one Key-Multivalue pair (K, [V1, V2, ..., Vn]). I feel like I should be able to do this using the reduceByKey function with something…