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https://issues.apache.org/jira/browse/DERBY-6096?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13593464#comment-13593464
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Knut Anders Hatlen commented on DERBY-6096:
-------------------------------------------

You may have better luck with smaller LOBs. LONG_CLOB_LENGTH is 18000000, which 
means the SQLClob objects inserted into BackingStoreHashtable aren't 
materialized and don't take up that much space. Using a larger number of 
smaller LOBs (so small that they don't overflow to another page) should 
increase the memory footprint, as those LOBs will come out of store fully 
materialized.
                
> DataTypeDescriptor.estimatedMemoryUsage()  has no case for BLOB or CLOB so 
> would underestimate memory usage for those types at zero
> -----------------------------------------------------------------------------------------------------------------------------------
>
>                 Key: DERBY-6096
>                 URL: https://issues.apache.org/jira/browse/DERBY-6096
>             Project: Derby
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 10.1.3.1, 10.2.2.0, 10.3.3.0, 10.4.2.0, 10.5.3.0, 
> 10.6.2.1, 10.7.1.1, 10.9.1.0, 10.10.0.0, 10.8.3.0
>            Reporter: Kathey Marsden
>
> In discussion on derby-dev regarding how much memory is used for hash joins, 
> Knut noted:
> I haven't verified, but I think HashJoinStrategy uses
> DataTypeDescriptor.estimatedMemoryUsage() to estimate how much memory
> the hash table will consume. That method has no case for BLOB or CLOB,
> so it looks as if it will return zero for LOB columns. If that's so, it
> will definitely overestimate how many rows fits in maxMemoryPerTable
> kilobytes if the rows contain LOBs.
> DataTypeDescriptor.estimatedMemoryUsage() should be updated to include BLOB 
> and CLOB and we should try verify if this theory is correct with a 
> reproduction.

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