Following these instructions for exporting firestore to google cloud storage I was able to produce an export folder in GCS.
After looking at the data it's kinda familiar I recognize parts of it. It's filled with stuff like this zamount �* !ÆG·zT8#z I recognize the word amount from one of my fields.
I don't understand how this export data is helpful or meaningful. If I needed to reconstitute my database from these file, how would I even start?
Clearly I'm missing something because this is borderline gibberish.
The format of a Firestore is undocumented. It's a binary representation of the document data. The only supported ways to import the data from that export is using the instructions in the related documentation using gcloud firestore import or the GCP console.
If you want an export whose format you can parse and work with programmatically, you should find a different mechanism. I'm sure there are other libraries out there that can do what you want.
Related
Could someone please guide me on how to extract a .docx file and load it onto a database using an ETL(Extract-Transform-Load) or ELT(Extract-Load-Transform) tool?
Assuming that the .docx file contains mostly unstructured data, isn't it an ELT tool I should go for instead of ETL?
The ETL and ELT tools I found this far didn't support the MS Word component. What other way is there to extract and store the content in a .docx file onto a database?
My requirement is to:
Extract the data inside the .docx file,
Convert them into meaningful data, and
Store them onto a data lake so I can perform data analysis, and take productive decisions based on those results.
It's just like how e-commerce companies convert customer reviews into meaningful data so they can take decisions to boost their sales. In my case, it's Word files I need to analyze.
I'm asking this because I've searched for so many ETL and ELT tools but couldn't find anything that supported Word files. Maybe it's because I haven't been searching for the right tool or the right way to do it?
If somebody knows a way, please guide me through the process. What should I start looking for? A tool, or a way to code the entire thing?
I've been looking for an answer for weeks now but didn't find a helpful answer. And it's starting to get really frustrating to see all the tools supporting every other component like social media, MongoDB, or whatever EXCEPT Word files.
You have to do this in 2 steps:
Extract the data from the .docx file to txt or xml
Now use SSIS to import. (Azure Data Factory if you are in the cloud)
I'm searching a way to retrieve data (csv format) from something which is not a file, let me explain.
In the company i'm in actually they quit Fileserver to Google Drive - So i'm actually trying to read information from a google spreadsheet but it didn't work nicely so far.
Any idea how to do this ? Any other idea on a way to centralise datas (CSV format) which is neither fileserver or using GDrive ?
The data source should be easily modified (no database..)
Thanks.
Importing categories as a CSV file is OK in tiki-wiki, But how to import categorized articles to the system. Tiki supports media wiki and word press importing, While my data base has another format.
Is there any module for CSV upload/import?
Is there any flexible migration-like script to import articles?
In case that both of answers are NO, would you please give me a clue to write down the proper code to import articles directly to data base.
I went through understanding database, But I think accessing to database directly should be my last choice!
For custom import jobs, you can use Tiki's profiles. The profiles are a YAML-based format. While it is not the primary use for them, it might be the easiest way to perform what you want to do.
Normally, you need to place the profile in a repository to execute it, but there is a developer option to load content from a textarea. You can simply prepare your YAML definition and paste it in there.
Categorizing elements through the database could be harder than it seems as many tables are involved.
I'd like to be able to provide an import/export to csv feature for a specific Subscription (a subset of a Collection). However, I'm not sure at all where I should start. I assume that this has to be done server-side since they need to upload a file for the importing feature, so it probably involves a Meteor.methods function on the server which I call from the client. I'm not sure how you would return a file for download or temporarily upload one (for the import feature, I don't want to keep the file around).
Any ideas on the best way to approach this with Meteor?
I'm going to pretend this is the best way, but do check out CollectionFS, a Meteor package that implements file uploads, so a logged-in user can upload files, and file handlers, in this sense, a function or series of functions automatically run on an uploaded file.
For exports, you could pipe this through CollectionFS again, or you could use FileSaver.js to just directly serve the export file.
I'm searching for a way to create complex/simple graph using Perl.
The known modules/applications I've checked are: GraphViz, Graph-Easy, aiSee etc.
Each way I walked, new problems appeared.
If my need is to create graph dependencies that
can be edited live
have a directed compass mode
work fine and are readable with massive data use
can be used through the terminal to convert from input format (GDL etc.) to output format (PNG, BMP, HTML etc.) –
what are the various applications that can handle all of these requests?
This question is a follow-up of How can I convert connection data lines to block of schemes using Perl?.
Thanks,
YoDar.
It might be an overkill for your application, but you might also want to look into PerlMagik.