csvtools | GNU-alike tools for parsing RFC 4180 CSVs at high speed | Parser library
kandi X-RAY | csvtools Summary
kandi X-RAY | csvtools Summary
As our data gets bigger, CSV files grow in size. The CSV format is not exactly pipe-friendly due to embedded newlines and quoted separators. onyxfish/csvkit offers a great set of utilties for most tasks you would want to perform on CSV's in a gnu toolset kind of way. However, it is not fast. For reasonable data sets, this doesn't matter, but for CSVs of more than a few MBs, you start to feel the pain. This repository contains gnu-alike tools for parsing RFC 4180 CSVs at high speed.
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QUESTION
currently we need to merge massive files (multiple GB-CSV files). As it is right now I've written a java code to dynamically update the data. Sadly the performance is extremely low. Due to our provided architecture we're forced to use either this or a bash-script. We can't install any packages, so csvtools is out of reach as well. We can only use native Ubuntu-functions.
What we have: 2 csv-files with an unknown schema. We only know that the first entry is always the ID which is the primary key. The 2 compared files itself have always the same schema. It is required to either update old entries with the 2nd file, and insert non-existent KV.
Example 1:
example1.csv
...ANSWER
Answered 2020-Dec-14 at 15:36Resolved it myself. Since the ID is always the first column I use it as a blacklist.
QUESTION
I've a large CSV file with about 500 rows and 10 columns that I need to search quite fluidly via several criteria at the heart of an application, and then populate a list quickly via the results of different cells (which will change rapidly as the user plays with it.
Would it be better to search the csv file directly, or create some sort of datastructure and import the csv to it?
My guess is the latter.
If I am correct, how would CSVTools cover the import in XamarinForms (I've seen very little documentation), and which data structure would work the best? I've seen a bit of information that dictionaries would be a terrible choice, but what does that leave me?
Every cell of the table will need to be searchable via several criteria such as the first two letters of a string, a math comparison, alphabetical order, and whether a bool is true or false.
I know I can iterate through it all, but due to the size of the table I would imagine there is something better suited available.
I am truly open to all suggestions, especially if I am doing this in an entirely incorrect way due to inexperience.
Thanks!
...ANSWER
Answered 2018-Aug-21 at 17:51Josh, I was in the very same position as you a while back.
I made the decision to import my CSV into a SQLite Database. SQLite is easy to query and sort, and there's simply a lot more support for it than CSV in C#. It's a one-time transition and the most difficult part is switching over. From my experience working in CSV in Python (obviously going to be different from C#) , CSVs are far more annoying to manipulate than SQLite documents.
Here's a good program you can use to import your CSV to SQLite.
SQLite-net-pcl is a good library you can use to access SQLite in Xamarin.
Best of luck Josh!
QUESTION
I would like injecting a method 'toCSV' to parse a class into CSV String. My function take two paramters :
- Seq[String] : header
- Seq[Seq[Any]] : fields
My macro :
...ANSWER
Answered 2017-Dec-27 at 02:40This is probably a bit hacky but it seems to work: explicitly map your names
to string literals
QUESTION
I am attempting to pull data from a csv file and read the entries into my database.
Traceback:
...ANSWER
Answered 2017-Feb-07 at 22:37Django is not accepting the date format from your CSV. It's expecting to read dates in the "YYYY-MM-DD" format, and your CSV has them in the "M/D/YYYY" format.
You have a couple of options to correct this:
- Change the date format of your CSV, to comply with what Django is expecting
- Change the expected date format in your settings. For info: https://docs.djangoproject.com/en/1.8/ref/settings/#date-input-formats
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