jxc | JXcore-cordova easy installer | Mobile Application library
kandi X-RAY | jxc Summary
kandi X-RAY | jxc Summary
Helper module for installing jxcore-cordova plugin easily. Both Posix and Windows platforms are supported.
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QUESTION
I have a huge PySpark dataframe and I'm doing a series of Window functions over partitions defined by my key.
The issue with the key is, my partitions gets skewed by this and results in Event Timeline that looks something like this,
I know that I can use salting technique to solve this issue when I'm doing a join. But how can I solve this issue when I'm using Window functions?
I'm using functions like lag, lead etc in the Window functions. I can't do the process with salted key, because I'll get wrong results.
How to solve skewness in this case?
I'm looking for a dynamic way of repartitioning my dataframe without skewness.
Updates based on answer from @jxc
I tried creating a sample df and tried running code over that,
...ANSWER
Answered 2020-Nov-28 at 18:12To handle such skewed data, there are a couple of things you can try out.
If you are using Databricks to run your jobs and you know which column will have the skew then you can try out an option called skew hint
I recommend moving to Spark 3.0 since you will have the option to use Adaptive Query Execution (AQE) which can handle most of the issues improving your job health and potentially running them faster.
Usually, I suggest making your data more even-sized partitions before any wide operation, and Increasing the cluster size does help but I am not sure if this will work for you.
QUESTION
Thanks to @jxc I was able to get a working code in post:
Bash loop to make directory, if numerical id found in file
I'm trying to use awk
to create sub-directories in a directory which will already be created in /path/to/directory
. If the full string in $2
of file1
is found in $0
, second line (always this format) of file2
. There will be more lines in file2
then matches.
The directory will already be created in /path/to/directory
. In the example below,
SubDirectory already exists in /path/to/directory
and since 19-0000_Lname-yy-zzz
and 19-0001_Lname-yyyy-zzzzz
are found in $2
of file1
, they are created in the subDirectory. Thank you :).
I thought of, maybe these two lines:
...ANSWER
Answered 2020-Oct-28 at 16:48You may try this awk
:
QUESTION
I am currently working on java 11 migration project where jaxb2-maven-plugin has been used to for XJC task. As XJC executable is not present in the JDK 11 version, I am getting below mentioned errors.
...ANSWER
Answered 2019-Feb-27 at 18:32I've just found a workaround for problems with using jaxb2-maven-plugin with Java 11. It consists of adding extra dependencies in pom.xml and adding an extra, dummy XSD file to the project, next to proper XSD files. I've put it altogether in my blog-post here: https://artofcode.wordpress.com/2019/02/26/jaxb2-maven-plugin-2-4-and-java-11/
QUESTION
I have a dataframe with 6 columns. Here i need to assign one column values to another column. There is a need to put the values from ROW column to ItemData Column. Here all the columns are struct type not just a string name.
...ANSWER
Answered 2019-Jul-23 at 21:04Try this:
QUESTION
I have a conflict with the logging libraries, but i dont know what and where exclude.
This is my pom:
...ANSWER
Answered 2019-Nov-29 at 10:42Find the parent of slf4j dependencies in effective pom. Or you can also check in the dependency tree which can be generated by mvn dependency:tree
.
After finding the parent dependencies of slf4j, you can add exclsuions.
QUESTION
I've processed parquet file and created the following data frame in scala spark 2.4.3.
...ANSWER
Answered 2019-Nov-22 at 22:23Edit-2: adjusted to calculate the sum groupby seasons first and then the Window aggregate sum:
Edit-1: Based on the comments, the named season is not required. we can set Spring
, Summer
, Autumn
, Winter
as 0
, 25
, 50
and 75
respectively and the season will be an integer added up by year(requestDate)*100
so that we can use rangeBetween (offset=-100 for current + the previous 3 seasons) in Window aggregate functions:
Note: below are pyspark code:
QUESTION
I've been working on data cleaning task in spark 2.4.4 but got stuck in following two tasks (mentioned in question section). Following is the dataframe and questions details:
1. Mount data and read parquet file in dataframe
...ANSWER
Answered 2019-Nov-04 at 23:10Good question, ideally I would go with a udf to make things simple, but since this task is a good example of using Spark SQL higher-order functions... Might be a little verbose, so I split it into 4 steps. Let me know if it works and any questions are welcome:
Step-1: convert string into array of stringssplit the string by the pattern (?:(?!/)\p{Punct}|\s)+'))
which is consecutive
punctuation(except /
) or spaces, then filter out the items which are EMPTY (leading/trailing). A temporary column temp1
is used to save the intermediate columns.
QUESTION
I've got a DF with columns of different time cycles (1/6, 3/6, 6/6 etc.) and would like to "explode" all the columns to create a new DF in which each row is a 1/6 cycle.
...ANSWER
Answered 2019-Jul-15 at 13:41To get to your output you would have to change col a to an array and insert empty values to the c array.
QUESTION
I am currently trying to convert a file from html to docx with docx4j library.
I have already managed to convert from html to pdf with itext5 but now I am facing an exception trying to convert to docx because of jaxb.
My project uses maven so I tried to import lots of libraries ... in vain ...
...ANSWER
Answered 2019-Jun-13 at 22:31With docx4j, you have a choice of which JAXB you want to use. If you want to use the reference implementation, add:
QUESTION
I am a bit green with python and I have been fooling around with pandas and numpy for some months now. It is my first post here, so please tell me if I am missing something.
I am looking to extract atom counts from molecular formulas stored as a column in a data frame. A string would look like this
...ANSWER
Answered 2019-May-09 at 14:33Try this:
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