I have multiple different python versions in my laptop and I set up a single node hadoop. Now I am running a pig script (0.12.1) which calls a python streaming script (using REGISTER). How can I control which python version to use? If it is not controllable, which python will be picked up?
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I'm trying to write a parquet file using pyspark on a windows 10 machine. I have faced issues about winutils and all issue you can get but not found a solution. So my question is : as anyone managed to install pyspark 3.1.2 on windows 10 and run the following code :
from pyspark.sql import Row, SparkSession
spark = SparkSession.builder.getOrCreate()
df = spark.createDataFrame([Row(a=1, b=2.)])
df.write.parquet("test.parquet")
What I have done so far :
Run the latest virtual box windows image from here https://developer.microsoft.com/en-us/windows/downloads/virtual-machines/
Installed python 3.9.7
run pip install pyspark
Added winutils and HADOOP_HOME (I've tested several versions.)
Tried to run the python code above.
It is explicitly said that pyspark can run on all systems Spark runs on both Windows and UNIX-like systems (e.g. Linux, Mac OS) : https://spark.apache.org/docs/latest/ but I did not find anyone who managed to run it.
I manage to do this with the 3.0.1 version without any issue.
I installed Apache Super-Set in Python virtual environment. I was wondering does it make any difference if I use Super-Set in Ubuntu or on Python Virtual Environment?
I don't get your question, unless you are confusing Apache Superset with another tool going by Superset also.
Apache Superset is built on python, so in order to install it in Ubuntu you have two options:
Install python and in it install Apache Superset
Use Docker or another virtualization software similar to it to download a container with Python and Apache Superset
I installed pyspark 2.2.0 with pip, but I don't see a file named spark-env.sh nor the conf directory. I would like to define variables like SPARK_WORKER_CORES in this file. How should I proceed?
I am using Mac OSX El Capitan, python 2.7.
PySpark from PyPi (i.e. installed with pip or conda) does not contain the full PySpark functionality; it is only intended for use with a Spark installation in an already existing cluster, in which case you might want to avoid downloading the whole Spark distribution. From the docs:
The Python packaging for Spark is not intended to replace all of the
other use cases. This Python packaged version of Spark is suitable for
interacting with an existing cluster (be it Spark standalone, YARN, or
Mesos) - but does not contain the tools required to setup your own
standalone Spark cluster. You can download the full version of Spark
from the Apache Spark downloads page.
So, what you should do is download Spark as said above (PySpark is an essential component of it).
I have installed hadoop. I used hadoop-2.7.0-src.tar.gz and hadoop-2.7.0.tar.gz files. And uses apache-maven-3.1.1 to collect the hadoop tar file for windows.
After so many tries I made it run. It was difficult to install hadoop without knowing what I am doing.
Now I want to install Hive. Do I have to collect Hive files with Maven?
If yes what folders should I use to collect them?
And then I want to install sqoop.
Any information is appreciated.
I have not tried on windows but I did on Linux - Ubuntu, and I have detailed these step by step in my blog over here - Hive Install
Have a look, I think most of the steps will be necessary in the same sequence as described but nature of command may be different for windows.
I am learning python and using idle. But I wanted to know how I can execute python programs of 2.7 and 3 in the Bash terminal. Is that possible?
I'd like to be able to execute them separately.
I will often type any of the following lines in order to run my programs under the correct version.
python27 path/to/file.py
python3 path/to/file.py
python34 path/to/file.py
This requires that each of those versions be installed.