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kandi X-RAY | big-data Summary
An open source, systematic big data learning tutorial. spark learning hadoop hive hbase flink tutorial linux from entry to proficiency
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QUESTION
I am trying to get the second last value in each row of a data frame, meaning the first job a person has had. (Job1_latest is the most recent job and people had a different number of jobs in the past and I want to get the first one). I managed to get the last value per row with the code below:
first_job <- function(x) tail(x[!is.na(x)], 1)
first_job <- apply(data, 1, first_job)
...ANSWER
Answered 2021-May-11 at 13:56You can get the value which is next to last non-NA value.
QUESTION
Coming from Python, I started using Julia for its speed in a big-data project. When reading data from .xlsx files, the datatype in each column is "any", despite most of the data being integers or floats.
Is there any Julia-way of inferring the datatypes in a DataFrame (like df = infertype.(df)
)?
This may be difficult in Julia, given the reduced flexibility on dataypes, but any tips on how to accomplish it would be appreciated. Assume, ex-ante, I do not know which column is which, but the types can only be int, float, string or date.
ANSWER
Answered 2021-Mar-30 at 14:00You can just do:
QUESTION
I have a docker configured with Glue ETL PySpark environment, thanks to this AWS Glue tutorial. I used the "hellowrold.py":
...ANSWER
Answered 2021-Apr-30 at 09:23I would advise you to use the integration with PyCharm if possible. There you don't have the module error and you can inject arguments through the parameter option of the PyCharm run configuration.
The article that you linked also explains how to integrate with PyCharm.
Edit:
When I log into the Docker container and just run:
QUESTION
I'm using a Scala Script in Glue to access a third party vendor with a dependent library. You can see the template I'm working off here
This solution works well, but runs with the parameters stored in the clear. I'd like to move those to AWS SSM and store them as a SecureString. To accomplish this, I believe the function would have to pull a CMK from KMS, then pull the SecureString and use the CMK to decrypt it.
I poked around the internet trying to find code examples for something as simple as pulling an SSM parameter from within Scala, but I wasn't able to find anything. I've only just started using the language and I'm not very familiar with its structure, is the expectation that aws-java libraries would also work in Scala for these kinds of operation? I've tried this but am getting compilation errors in Glue. Just for example
...ANSWER
Answered 2021-Apr-26 at 17:21was able to do this with the following code snippet
QUESTION
I'm using https://github.com/springml/spark-salesforce to query against a salesforce api. It works fine for standard queries, but when I add the bulk options they've listed it hits the error I've listed below. Let me know if I'm making any basic mistakes, based on their documentation I believe this is the correct approach
Trying to use a bulk query against our API. Using the below SOQL statement
...ANSWER
Answered 2021-Apr-20 at 12:20This is a problem with stax2 librery add woodstox-core-asl-4.4.1.jar file in dependet jars in glue job configurarion and it will sove this error.
QUESTION
I have a folder that need to contain certain files that contains magic in their name so i have a list of all the files with os.listdir(sstable_dir_path) and i have a list of regexes that one of them supposed to match one of those filenames. is there any way to do so without a nested for?
...ANSWER
Answered 2021-Apr-07 at 14:54files = ['md-146-big-CompressionInfo.db',
'md-146-big-Data.db',
'md-146-big-Digest.crc32',
'md-146-big-Filter.db',
'md-146-big-Index.db',
'md-146-big-Statistics.db',
'md-146-big-Summary.db',
'md-146-big-TOC.txt']
pattern = '|'.join(map(lambda x: x.pattern, SSTABLE_FILENAMES_REGEXES))
res = [fillename for fillename in files.split() if re.fullmatch(pattern=pattern , string=fillename) ]
print(res)
QUESTION
I'm using this script to query data from a CSV file that's saved on an AWS S3 Bucket. It works well with CSV files that were originally saved in Comma Separated format but I have a lot of data saved with tab delimiter (Sep='\t') which makes the code fail.
The original data is very massive which makes it difficult to rewrite it. Is there a way to query data where we specify the delimiter/separator for the CSV file?
I used it from this post: https://towardsdatascience.com/how-i-improved-performance-retrieving-big-data-with-s3-select-2bd2850bc428 ... I'd like to thank the writer for the tutorial which helped me save a lot of time.
Here's the code:
...ANSWER
Answered 2021-Mar-23 at 23:52The InputSerialization option also allows you to specify:
RecordDelimiter - A single character used to separate individual records in the input. Instead of the default value, you can specify an arbitrary delimiter.
So you could try:
QUESTION
So, I ran a simple Deequ check in Spark, that went something like this :
...ANSWER
Answered 2021-Feb-26 at 08:29check_status
is the overal status for the Check
group you run. It depends on the CheckLevel
and the constraint status. If you look at the code :
QUESTION
I would like to access and edit individual dataframes after creating them by a for loop.
...ANSWER
Answered 2021-Feb-25 at 13:41Use a dictionary of dataframes, df_dict:
Add
QUESTION
I have an AWS EMR running Jupyterhub version 0.8.1+ that I want to check if there are any active notebooks that are running any code. I've tried the below commands but they don't seem to output what I'm looking for here since the users server is always running and notebooks can be running without any code being executed.
...ANSWER
Answered 2021-Feb-15 at 13:43To see if a notebook is "idle" for "busy" you can run curl -ks https://localhost:9443/user/jovyan/api/kernels -H "Authorization: token ${admin_token}"
With this command all you need to do is put it in a simple if statement with a grep -q
in order to get a true false idle value.
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