hyperleaup

library0.1.2pypypiunverified

Create and publish Tableau Hyper files from Apache Spark DataFrames and Spark SQL. Current version 0.1.2, beta-level with monthly-ish releases on PyPI.

data aws gcp azure

pip install hyperleaup

github ↗package ↗

INSTALL

IMPORT

SIG · HYPERLEAUP

hyperleaup

datapythonv0.1.2

harness data pending

Install & Compatibility

Where this runs

No compatibility data collected yet for this library.

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

hyperleaup

✓ import hyperleaup

✗ import hyperleaup

Creates a simple Hyper file from a Spark DataFrame.

from pyspark.sql import SparkSession from hyperleaup import HyperFile spark = SparkSession.builder.appName("example").getOrCreate() df = spark.createDataFrame([(1, "a"), (2, "b")], ["id", "value"]) hyper = HyperFile() hyper.save(df, "output.hyper") print("Hyper file created successfully.")

Debug

Known issues

breakingIn v0.1.1, changed default `timestamp_with_timezone` to False to maintain backward compatibility; setting to True may be needed to avoid type mismatch errors.

fix

Explicitly set `timestamp_with_timezone=True` when creating HyperFile if your data contains timestamps with timezone.

affects: 0.1.1+

gotchaHyperleaup is tightly coupled to PySpark and Tableau Hyper API. Ensure both are installed and compatible.

fix

Run `pip install pyspark tableauhyperapi` before using hyperleaup.

affects: all

gotchaThe `LARGEFILE` creation mode is experimental and only works with Databricks File System (DBFS). Do not use on other distributed file systems.

fix

Use default creation mode unless you are on Databricks and understand the implications.

affects: 0.1.2

Upgrade

Version history

0.1.2latest on PyPI · released Sep 6, 2023

Audit

Dependencies

pysparkrequiredCore dependency for Spark DataFrame operations; version >=3.2.2

tableauhyperapirequiredRequired to create Tableau Hyper files

Agent activity

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Resources

githubhttps://github.com/goodwillpunning/hyperleaup ↗

packagehttps://pypi.org/project/hyperleaup/ ↗