# About load a big data

**URL:** https://discourse.paraview.org/t/about-load-a-big-data/1480
**Category:** ParaView Support
**Created:** [March 15, 2019, 12:52pm UTC](https://discourse.paraview.org/t/about-load-a-big-data/1480 "2019-03-15T12:52:46Z")
**Posts on this page:** 2
**Page:** 1

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### Author: ![e-kolosov](https://discourse.paraview.org/user_avatar/discourse.paraview.org/e-kolosov/32/2375_2.png) [@e-kolosov](https://discourse.paraview.org/u/e-kolosov)
#### Post date: [March 15, 2019, 12:52pm UTC](https://discourse.paraview.org/t/about-load-a-big-data/1480/1 "2019-03-15T12:52:46Z")

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![load_big_data](https://discourse.paraview.org/uploads/default/original/2X/4/48cf7829763d41a24856881a2e953968620a89e0.png)  
Here we have 2.4 sec records length. What if we need to scroll 24 hours records length? The loading and processing times becomes really slow. What we should do then? The idea is to load and render data “in blocks” or “partially” that is not consume the memory intensive to allocate the whole objects. What we have in Paraview for solve this problem? Examples of the test data and python reader plugin are attached.  
[example.zip](https://discourse.paraview.org/uploads/default/original/2X/0/049446426c9e1eb4ca9b30be06a9c7d8138f8fb7.zip) (451.0 KB)

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### Author: ![DennisConklin](https://discourse.paraview.org/letter_avatar_proxy/v4/letter/d/b19c9b/32.png) [@DennisConklin](https://discourse.paraview.org/u/DennisConklin)
#### Post date: [March 15, 2019, 7:00pm UTC](https://discourse.paraview.org/t/about-load-a-big-data/1480/2 "2019-03-15T19:00:41Z")

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Evgeny,

Are you running ParaView in Parallel? Running it on 256 CPUs or something similar would help.