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CLI Client for ReductStore v0.8.0 has been released

· One min read

Hey, I've released version 0.8.0 of Reduct CLI, the Python package for managing data stored in ReductStore. This release includes two new features that will be particularly helpful for our public datasets hosted on ReductStore, where metadata can be used to provide important context for the data.

  1. The rcli export folder command now has a new option --with-metadata, which exports meta information about a record and its labels into a JSON file along with the content of the record.

  2. The rcli export commands now accept integers for --start and --stop options, which means you can specify a time interval in Unix time or use it as a range of record IDs if you don't care about time:

     # Export records with ID from 0 to 5 
    rcli export folder instance/bucket ./export_path --start 0 --stop 5

I hope these new features make it even easier to work with ReductStore and manage your data. As always, if you have any questions or feedback, please don't hesitate to reach out!

Thanks for using ReductStore!

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CLI Client for ReductStore v0.7.0 has been released

· 2 min read

Hey everyone,

I'm happy to announce that we have released Reduct CLI client v0.7.0 with some minor improvements and bug fixes. We started using the tool in real applications and faced some problems exporting data from a ReductStore instance when the connection is slow and we have many entries to download asynchronously.

First of all, it wasn't very convenient to count all needed entries in the rcli export command. Now we can use wildcards:

rcli export folder instance/bucket ./export_path  --entries=sensor-*
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CLI Client for ReductStore v0.5.0 has been released

· 2 min read

Hello everyone,

We're excited to announce the release of version 0.5.0 of the Reduct CLI! This release brings a number of new features to improve data export and mirroring. Here are the highlights:

Limit parallel tasks

We added a global option --parallel to limit the number of entries to be exported or mirrored in parallel. This can be useful when a bucket has a large number of entries and the network connection is slow. Usage example:

rcli export --parallel 5 folder server_1/bucket_1 . 
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