Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Remove support for Visio and potm files #22079

Merged
merged 3 commits into from
Feb 16, 2017

Conversation

dadoonet
Copy link
Member

@dadoonet dadoonet commented Dec 9, 2016

  • Send a non supported document to an ingest pipeline using ingest-attachment
  • If Tika is not able to parse the document because of a missing class (we are not importing all jars needed by Tika), Tika throws a Throwable which is not catch.

This commit removes extracting embedded content from Office XML docs.

So elasticsearch is not killed anymore when you run a command like:

GET _ingest/pipeline/_simulate
{
  "pipeline" : {
    "processors" : [
      {
        "attachment" : {
          "field" : "file"
        }
      }
    ]  
  },
  "docs" : [
    {
      "_source" : {
        "file" : "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"  
      }
    }
  ]
}

The good news is that it does not kill the node anymore and allows to extract the text which is in the Office document.

Closes #22077.

Copy link
Member

@jasontedor jasontedor left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Sorry @dadoonet.

@@ -127,7 +127,7 @@ public void execute(IngestDocument ingestDocument) {
}
additionalFields.put(Property.CONTENT_LENGTH.toLowerCase(), length);
}
} catch (Exception e) {
} catch (Throwable e) {
Copy link
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Let's not do this. We worked incredibly hard to remove it from the codebase, see #19231. It just hides bugs, and swallows truly fatal errors.

Copy link
Member Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Argh... Indeed...
What is the other solution then in our case? Catch the Throwable, look if it's caused by a ClassNotFound exception, then wrap it and if not a ClassNotFound, just throw the Throwable?

@dadoonet dadoonet changed the title Catch Throwable in case of major error when extracting content Catch NoClassDefFoundError in case of major error when extracting content Dec 9, 2016
@dadoonet dadoonet changed the title Catch NoClassDefFoundError in case of major error when extracting content Catch Throwable in case of missing 3rd party lib when extracting content Dec 9, 2016
@dadoonet
Copy link
Member Author

@jasontedor Can you tell me what you think of the latest changes? Thanks!

@jasontedor
Copy link
Member

Why are we doing this instead of adding the missing dependency?

@javanna
Copy link
Member

javanna commented Dec 12, 2016

I totally agree on not catching Throwable and the effort made to change that in our codebase. That said in this specific case it seems pretty awkward that the node crashes. Is it right to let it go down for a missing dependency problem triggered by some specific call? I guess there is no way to check for this earlier when the node is started?

@dadoonet
Copy link
Member Author

Why are we doing this instead of adding the missing dependency?

Well. We reduced the number of dependencies with this PR: elastic/elasticsearch-mapper-attachments#186.
IIRC we wanted to avoid some Security Manager issues with 3rd party libs and some JarHell issues.

We ended up saying that we will only support a subset of files. Here the user is sending a Word document which is supported but within the Word document he is having an embedded Visio Chart, which we don't support.
Probably we can fix the issue for Visio. But then, what will be the next problem? MP3?

I think that killing a node because a end user is sending a non supported format should be prevented.

@javanna No we can't check that on startup because it depends on the end user's request.

@rjernst
Copy link
Member

rjernst commented Dec 12, 2016

Is it right to let it go down for a missing dependency

Yes, it is. We (developers) did not setup the system correctly. We didn't find the problem because of inadequate tests. Let's fix the tests, not try to mask the problems.

The underlying issue is the OOXMLParser in tika is poorly designed (all static functions) and does not allow overriding which embedded formats are supported. If we are going to handle this by catching (instead of adding the dependency), then it should be completely local and specific to this case, not general purpose for all of tika (so we don't mask other issues). OOXMLParser is subclassable, where we can catch the NCDFE, not throwable. But such a hack should only be done after opening an issue in tika (and referencing in a comment with the hacky catch).

We also desperately need more tests, ideally each type of embedded file (and there are a limited number of these that are possible, so we should try to cover each one). I believe tika has an extensive collection of files for testing, perhaps we can reuse some of those?

@dadoonet
Copy link
Member Author

so we don't mask other issues

We don't mask it here. We fail the ingestion with an error message which tells what is happening.

throw new ElasticsearchParseException("Missing classes to parse document in field [{}]", e, field);

We just don't kill anymore the node.

Definitely I don't want to hide any error.

@javanna
Copy link
Member

javanna commented Dec 13, 2016

I think everybody agrees that we should not blindly catch Throwable in our code. We made efforts to not hide OOM errors and such, and we don't want to go back there for sure. But, maybe I didn't state it clearly, I don't think it is acceptable that a node crashes because of a missing dependency. We are currently exposing an api that can kill a node, that is a big concerning problem to me. I am not confident that this category of errors with the attachment processor can be solved by testing, cause so many things can go wrong with tika and the many formats it supports. For sure catching NoClassDefFoundError is not an elegant solution, it's far from ideal, but is there a better alternative that doesn't involve crashing a node then?

@clintongormley
Copy link

But, maybe I didn't state it clearly, I don't think it is acceptable that a node crashes because of a missing dependency. We are currently exposing an api that can kill a node, that is a big concerning problem to me.

+1

@nik9000
Copy link
Member

nik9000 commented Dec 13, 2016

I think if we should add the dependency we should add the dependency and consider that the bug that caused the thing to go down, not the lack of catch. If we don't want the dependency we should figure out some way to work around not having it. I don't think we should have a global "catch NoClassDefError" across all of our code because we don't want to hide other problems. If the way work around this is by catching the Error then I'm all for adding it, but I agree with @rjernst that we should file an issue with tika. If they intend for us to be able to run without the dependency then they should throw a friendlier exception. If they don't intend for us to be able to run without the dependency then we have more thinking to do....

@javanna
Copy link
Member

javanna commented Dec 13, 2016

I don't think we should have a global "catch NoClassDefError" across all of our code because we don't want to hide other problems.

David is introducing a catch in the AttachmentProcessor, that is not a global catch. Anyways, I do see how it is not the most elegant solution. Even if we are going to add this missing jar back and testing this case explicitly and filing an issue to tika, I wonder how long it will take for a similar error to arise due to another missing dependency which we haven't yet tested. Can we really make sure that we test all the possible situations here?

@nik9000
Copy link
Member

nik9000 commented Dec 13, 2016

David is introducing a catch in the AttachmentProcessor, that is not a global catch.

Right. I'm cool with it.

Can we really make sure that we test all the possible situations here?

That argument makes sense to me. Something along the lines of "Tika throws these instead of UnsupportedOperationException when you are missing an optional dependency." is fine reasoning for adding it. I think we should file an issue with Tika about it. I'd like to be able to remove it one day and catch something that is less likely to mask other weird stuff.

@dadoonet dadoonet changed the title Catch Throwable in case of missing 3rd party lib when extracting content Catch NoClassDefFoundError in case of missing 3rd party lib when extracting content Dec 14, 2016
@dadoonet
Copy link
Member Author

So what is the outcome on this? Do we want to merge my PR?
I opened https://issues.apache.org/jira/browse/TIKA-2208 to see if they can do anything better on their side.

@jasontedor
Copy link
Member

jasontedor commented Dec 14, 2016

I agree that taking a node down in this situation is bad, but I disagree with the conclusion that we should catch NoClassDefFoundError here. Catching NoClassDefFoundError is too blunt, it catches more than just a missing dependency for an embedded document format that we do not support (for example, a class initializer that throws can also cause a NoClassDefFoundError too; JLS 12.4.2):

  1. If the Class object for C is in an erroneous state, then initialization is not possible. Release LC and throw a NoClassDefFoundError.

Like @rjernst said, we need to work this one on the Tika side.

@dadoonet
Copy link
Member Author

I'm going to test the workaround proposed on the JIRA and will update the PR if successful.

@jasontedor
Copy link
Member

Thanks @dadoonet.

@dadoonet
Copy link
Member Author

For information, the proposed workaround does not work in our case as I explained at https://issues.apache.org/jira/browse/TIKA-2208?focusedCommentId=15753790&page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#comment-15753790

Basically, the Tika checks are made when Tika instance is created not when it is used.

I can obviously fix the current problem by adding the missing library but I think that it will hide potential other issues with missing JARs.
May be we can do something on Gradle side which checks that when we add an explicit dependency like org.apache.poi:poi-ooxml:3.15, all the needed transitive dependencies are also declared?

@dadoonet dadoonet changed the title Catch NoClassDefFoundError in case of missing 3rd party lib when extracting content Don't try to extract embedded content from Office XML docs Dec 16, 2016
@dadoonet
Copy link
Member Author

dadoonet commented Feb 3, 2017

Actually I was wrong. This PR removes support for Visio files even embedded. I'm going to update the PR soonish.

@dadoonet dadoonet changed the title Don't try to extract embedded content from Office XML docs Remove support for Visio and potm files Feb 3, 2017
Actually we never supported Visio files but we are failing hard (kill a node) when that kind of file is provided.
See elastic#22079 (comment)

This commits excludes Visio parsing from Tika so it does not fail anymore but returns empty content instead.

As a side effect, it also removes support for POTM files.

Closes elastic#22077.
@dadoonet
Copy link
Member Author

dadoonet commented Feb 3, 2017

@jasontedor So I removed support for POTM files. I rebased on master and squashed everything. Could you check again this PR?

@jasontedor
Copy link
Member

I am missing in this pull request where support for POTM files was removed?

Also, please do not squash commits in the middle of review cycles. You can merge master into your branch instead of rebasing, too.

@dadoonet
Copy link
Member Author

dadoonet commented Feb 3, 2017

@jasontedor POTM is removed in the zip file. That's why you can't see it and why I opened #22958

@dadoonet
Copy link
Member Author

dadoonet commented Feb 3, 2017

I'm going to push a new commit to my branch because I just merged #22959 so you will see in a more obvious way the POTM file removal.

# Conflicts:
#	plugins/ingest-attachment/src/test/resources/org/elasticsearch/ingest/attachment/test/tika-files.zip
@dadoonet
Copy link
Member Author

dadoonet commented Feb 3, 2017

@jasontedor I merged with master so it's ready. Can you review it please?

@sergeytkachenko
Copy link

@dadoonet thank you repaired, and now we do not have such an error!

@dadoonet
Copy link
Member Author

dadoonet commented Feb 3, 2017

@sergeytkachenko Do you mean that you tried out that branch?

@sergeytkachenko
Copy link

@dadoonet Yes!
I build elasticsearch 6 and ingest-attachemnt 6 plugin with gradel from fix/22077-ingest-attachment branch.
And error has gone.
Thank you very match!

@dadoonet
Copy link
Member Author

dadoonet commented Feb 3, 2017

Thanks for testing it @sergeytkachenko.

You can apply the same fix on 5.2.0 tag and build another version of the plugin if it's a blocker for your production.

@dadoonet
Copy link
Member Author

If no one objects in the meantime, I'll merge that change tomorrow morning CET.

Copy link
Member

@jasontedor jasontedor left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

LGTM.

@dadoonet
Copy link
Member Author

Thanks @jasontedor !

@dadoonet dadoonet merged commit 6b66e29 into elastic:master Feb 16, 2017
@dadoonet dadoonet deleted the fix/22077-ingest-attachment branch February 16, 2017 15:00
dadoonet added a commit to dadoonet/elasticsearch that referenced this pull request Feb 17, 2017
* Send a non supported document to an ingest pipeline using `ingest-attachment`
* If Tika is not able to parse the document because of a missing class (we are not importing all jars needed by Tika), Tika throws a Throwable which is not catch.

This commit removes support for Visio and POTM office files.

So elasticsearch is not killed anymore when you run a command like:

```
GET _ingest/pipeline/_simulate
{
  "pipeline" : {
    "processors" : [
      {
        "attachment" : {
          "field" : "file"
        }
      }
    ]
  },
  "docs" : [
    {
      "_source" : {
        "file" : "BASE64CONTENT"
      }
    }
  ]
}
```

The good news is that it does not kill the node anymore and allows to extract the text which is in the Office document even if we have a Visio content (which is not extracted anymore).

Related to elastic#22077

Backport of elastic#22079 in 5.x branch (5.3)
dadoonet added a commit to dadoonet/elasticsearch that referenced this pull request Feb 17, 2017
* Parse a non supported document using `mapper-attachments`
* If Tika is not able to parse the document because of a missing class (we are not importing all jars needed by Tika), Tika throws a Throwable which is not catch.

This commit removes support for Visio and POTM office files.

The good news is that it does not kill the node anymore and allows to extract the text which is in the Office document even if we have a Visio content (which is not extracted anymore).

Related to elastic#22077 and elastic#22079 for mapper-attachments plugin
dadoonet added a commit that referenced this pull request Feb 20, 2017
* Parse a non supported document using `mapper-attachments`
* If Tika is not able to parse the document because of a missing class (we are not importing all jars needed by Tika), Tika throws a Throwable which is not catch.

This commit removes support for Visio and POTM office files.

The good news is that it does not kill the node anymore and allows to extract the text which is in the Office document even if we have a Visio content (which is not extracted anymore).

Related to #22077 and #22079 for mapper-attachments plugin

Backport of #23214 in 5.2 branch
@clintongormley clintongormley added :Data Management/Ingest Node Execution or management of Ingest Pipelines including GeoIP and removed :Plugin Ingest Attachment labels Feb 13, 2018
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
>bug :Data Management/Ingest Node Execution or management of Ingest Pipelines including GeoIP v6.0.0-alpha1
Projects
None yet
Development

Successfully merging this pull request may close these issues.

None yet

8 participants