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[FEATURE] Tableau Hyper #49

Merged
merged 19 commits into from
Sep 4, 2024
Merged

[FEATURE] Tableau Hyper #49

merged 19 commits into from
Sep 4, 2024

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maxim-mityutko
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@maxim-mityutko maxim-mityutko commented Jun 10, 2024

Provide the capability to write into the Tableau Hyper format, that allows loading datasource data independently from the Tableau server.

Description

Writing data into hyper from List, Parquet, Dataframe.
Reading data from Hyper into Dataframe.
Publishing Hyper to the Tableau server.

Related Issue

#45

Motivation and Context

In certain scenarious loading data into the datasource by means of Tableau server may take too much time (and depending on Tableau server timeouts, may even fail). Creating Hyper files independently from Tableau allows much faster load times.

How Has This Been Tested?

Unit tests / Publishing to the Tableau server

Screenshots (if appropriate):

Types of changes

  • Bug fix (non-breaking change which fixes an issue)
  • New feature (non-breaking change which adds functionality)
  • Breaking change (fix or feature that would cause existing functionality to change)

Checklist:

  • My code follows the code style of this project.
  • My change requires a change to the documentation.
  • I have updated the documentation accordingly.
  • I have read the CONTRIBUTING document.
  • I have added tests to cover my changes.
  • All new and existing tests passed.

@maxim-mityutko maxim-mityutko self-assigned this Jun 10, 2024
@maxim-mityutko maxim-mityutko marked this pull request as ready for review August 31, 2024 00:42
@maxim-mityutko maxim-mityutko requested a review from a team as a code owner August 31, 2024 00:42
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@dannymeijer dannymeijer left a comment

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I like the code. Please have a look at the docstrings though. Would like to see every class have a docstring, and ensure docstring formats are Numpy style.

@maxim-mityutko maxim-mityutko merged commit c0e3053 into main Sep 4, 2024
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@maxim-mityutko maxim-mityutko deleted the feature-45-tableau-hyper branch September 4, 2024 12:43
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2 participants