[
https://issues.apache.org/jira/browse/FLEX-34260?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Vitaliy Parfenov updated FLEX-34260:
------------------------------------
Attachment: flex-34260-fdk4.13.png
flex-34260-fdk_mod.png
flex-34260-fdk4.13.png - memory spike with Flex SDK 4.13
flex-34260-fdk_mod.png - same data in spark DataGrid on Flex SDK 4.13 with old
DataGrid classes from SDK 4.9.1
> s:datagrid cacheAsBitmap caches an itemRenderer for every item in the
> dataProvider
> ----------------------------------------------------------------------------------
>
> Key: FLEX-34260
> URL: https://issues.apache.org/jira/browse/FLEX-34260
> Project: Apache Flex
> Issue Type: Bug
> Components: Spark: DataGrid
> Affects Versions: Apache Flex 4.11.0, Apache Flex 4.12.0
> Environment: Windows 7, FB 4.7, ie10
> Reporter: Jeff Spicer
> Labels: easytest
> Attachments: ItemRendererCachingBug.fxp, flex-34260-fdk4.13.png,
> flex-34260-fdk_mod.png
>
>
> setting cacheAsBitmap to true on a spark dataGrid allocates a lot of memory,
> noticeably when the dataProvider is long.
> My guess is it's allocating enough memory to cache an itemRenderer for each
> item in the dataprovider, whether it's showing or not.
> Steps to reproduce:
> (fxp attached)
> 1. create a spark dataGrid which has a dataProvider of length 1000
> 2. set cacheAsBitmap to true
> 3. run and profile memory usage
> a dataprovider of length 10,000 shows no significant spike in memory, using
> sdk 4.6.
> in 4.11/12, 10,000 items can cause !GCOD
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
