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https://issues.apache.org/jira/browse/DAFFODIL-1444?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16767701#comment-16767701
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Michael Beckerle commented on DAFFODIL-1444:
--------------------------------------------
See page:
[https://cwiki.apache.org/confluence/pages/viewpage.action?pageId=103090465]
Discusses the areas where change is needed to really fix this issue.
> Performance - schema compilation
> --------------------------------
>
> Key: DAFFODIL-1444
> URL: https://issues.apache.org/jira/browse/DAFFODIL-1444
> Project: Daffodil
> Issue Type: Improvement
> Components: Front End, Middle "End", Performance
> Reporter: Michael Beckerle
> Assignee: Steve Lawrence
> Priority: Major
> Fix For: 2.4.0
>
>
> Large DFDL schemas are very slow to compile.
> We could focus on speeding this up, and should get some low-hanging fruit
> here.
> But ultimately, a really large DFDL schema needs to be compiled in pieces.
> (DEBATABLE - focus should FIRST be on speeding up and reducing the massive
> copying that goes on. Separate compilation is a harder issue that we can
> defer.)
> This means we need to be able to reload a compiled schema just to restore
> it's parsers/unparsers and associated runtime data structures to memory so
> that another schema that depends on it can then be compiled.
> DFDL schema compilation needs to be understood in order to decompose a schema
> into separately compilable units. THere's no point in trying to compile a
> schema layer by layer - a DFDL schema containing all type definitions, for
> example, doesn't compile to anything. There have to be top level elements in
> order for DFDL schema compilation to do anything.
> So given a large data format with many top-level element types, we need the
> compiler to recognize element references to pre-compiled top-level elements,
> and avoid recompiling new instances of them if the surrounding environment is
> the same. That is, surrounding default format specification is the same.
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