sparkr | ▁▂▃▅▂▇ in Ruby
kandi X-RAY | sparkr Summary
kandi X-RAY | sparkr Summary
Sparkr is a port of spark for Ruby. It lets you create ASCII sparklines for your Ruby CLIs: .
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Top functions reviewed by kandi - BETA
- Calculate the maximum number of steps based on size
- Runs the sparkraph .
- Normalizes the given number .
- Format the number of frames
- Convert the string to a string .
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sparkr Examples and Code Snippets
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Trending Discussions on sparkr
QUESTION
For example purposes, I am using the tidyquant dataset.
...ANSWER
Answered 2021-Apr-19 at 13:56Given that you run your code to get the new data and store in a variable named AAPL, then
QUESTION
I am trying to create a new column in base a multiple conditions, but I saw that I can't use multiple when clauses with only one otherwise and I was constrained to use somthing like below:
...ANSWER
Answered 2021-Mar-18 at 14:40You can try coalesce-ing the when statements:
QUESTION
I saved a pre-trained model from spark-nlp, then I'm trying to run a Python script in Pycharm with anaconda env:
...ANSWER
Answered 2021-Mar-17 at 15:29some context first. The spark-nlp library depends on a jar file that needs to be present in the Spark classpath. There are three ways to provide this jar according to how you start the context in PySpark. a) When you start your Python app throught interpreter, you call sparknlp.start() and the jar will be automatically downloaded.
b) You pass the jar to pyspark command using the --jars switch. In this case you took the jar from the releases page and download it manually.
c) You start pyspark and pass --packages, here you need to pass a maven coordinate, example,
QUESTION
I am trying to run a simple spark program to read an avro file in PYCHARM environment. I keep getting this error which i am not able to resolve. I appreciate your help.
...ANSWER
Answered 2021-Mar-02 at 16:49There must be 3 corrections in your code:
- You don't have to separately load a schema file because any Avro data file already contains it in its header.
- The
load()method in yourspark.read.format("avro").load(list(Schema))expects a path to your Avro file, not a schema. print(df)won't give any meaningful output. Just usedf.show()if you want to glance at the data in your Avro file.
Having said that, you may have already got an idea of what must be changed in your code:
QUESTION
we are executing pyspark and spark-submit to kerberized CDH 5.15v from remote airflow docker container not managed by CDH CM node, e.g. airflow container is not in CDH env. Versions of hive, spark and java are the same as on CDH. There is a valid kerberos ticket before executing spark-submit or pyspark.
Python script:
...ANSWER
Answered 2021-Feb-18 at 19:56Details of our solution can be found here: https://community.cloudera.com/t5/Support-Questions/remote-pyspark-shell-and-spark-submit-error-java-lang/td-p/309553
QUESTION
I'm trying to use a list that containing all columns of Spark DataFrame with function last() and put that list in summarize() of grouped DF.
The list is created in this way :
...ANSWER
Answered 2021-Feb-10 at 08:44The solution I found is the following :
For create list of columns what i am trying to select i used function lapply()
QUESTION
I have the data "li" and I want to run the algorithm FPGrowth, but I don't know how
ANSWER
Answered 2021-Jan-23 at 22:03The code example from the mentioned answer works. You get two errors the first because mutate was not loaded. The second because the object tb was already loaded into Spark.
Try running the following code from a new session:
QUESTION
In Databricks (SparkR), I run the batch algorithm of the self-organizing map in parallel from the kohonen package as it gives me considerable reductions in computation time as opposed to my local machine. However, after fitting the model I would like to download/export the trained model (a list) to my local machine to continue working with the results (create plots etc.) in a way that is not available in Databricks. I know how to save & download a SparkDataFrame to csv:
ANSWER
Answered 2021-Jan-21 at 00:21If all your models can fit into the driver's memory, you can use spark.lapply. It is a distributed version of base lapply which requires a function and a list. Spark will apply the function to each element of the list (like a map) and collect the returned objects.
Here is an example of fitting kohonen models, one for each iris species:
QUESTION
I've just tried out a basic piece of code for a pyspark (version 3.0.1) streaming example on my Lubuntu 20.04 LTS system using python 3.9x.
I opened a new jupyter notebook in GoogleChrome, started with the following code (the part which doesn't throw an error yet):
...ANSWER
Answered 2020-Dec-23 at 07:16Create a checkpoint directory in /tmp/ and then set the path e.g. I have created dir "dtn2" and "checkpoint"
QUESTION
I have a small code in SparkR and I would like to transform it to pyspark. I am not familiar with this windowPartitionBy, and repartition. Could you please help me to learn what this code is doing?
...ANSWER
Answered 2020-Dec-18 at 13:44In pyspark it would be equivalent to:
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