Hey Chris,

Which version of SOLR are you running? I was thinking of maybe trying
another version to see if it fixes the issue.

On Thu, Oct 11, 2018 at 8:11 AM Chris Ulicny <culicny@iq.media> wrote:

> We've also run into that issue of not being able to reproduce it outside of
> running production loads.
>
> However, we haven't been encountering the problem in live production quite
> as much as we used to, and I think that might be from the /get requests
> being spread out a little more evenly over the running interval which is
> due to other process changes.
>
> If I get any new information, I'll update as well.
>
> Thanks for your help.
>
> On Wed, Oct 10, 2018 at 10:53 AM sgaron cse <sgaron....@gmail.com> wrote:
>
> > I haven't found a way to reproduce the problem other that running our
> > entire set of code. I've also been trying different things to make sure
> to
> > problem is not from my end and so far I haven't managed to fix it by
> > changing my code. It has to be a race condition somewhere but I just
> can't
> > put my finger on it.
> >
> > I'll message back if I find a way to reproduce.
> >
> > On Wed, Oct 10, 2018 at 10:48 AM Erick Erickson <erickerick...@gmail.com
> >
> > wrote:
> >
> > > Well assigning a bogus version that generates a 409 error then
> > > immediately doing an RTG on the doc doesn't fail for me either 18
> > > million tries later. So I'm afraid I haven't a clue where to go from
> > > here. Unless we can somehow find a way to generate this failure I'm
> > > going to drop it for the foreseeable future.
> > >
> > > Erick
> > > On Tue, Oct 9, 2018 at 7:39 AM Erick Erickson <erickerick...@gmail.com
> >
> > > wrote:
> > > >
> > > > Hmmmm. I wonder if a version conflict or perhaps other failure can
> > > > somehow cause this. It shouldn't be very hard to add that to my test
> > > > setup, just randomly add n _version_ field value.
> > > >
> > > > Erick
> > > > On Mon, Oct 1, 2018 at 8:20 AM Erick Erickson <
> erickerick...@gmail.com
> > >
> > > wrote:
> > > > >
> > > > > Thanks. I'll be away for the rest of the week, so won't be able to
> > try
> > > > > anything more....
> > > > > On Mon, Oct 1, 2018 at 5:10 AM Chris Ulicny <culicny@iq.media>
> > wrote:
> > > > > >
> > > > > > In our case, we are heavily indexing in the collection while the
> > /get
> > > > > > requests are happening which is what we assumed was causing this
> > > very rare
> > > > > > behavior. However, we have experienced the problem for a
> collection
> > > where
> > > > > > the following happens in sequence with minutes in between them.
> > > > > >
> > > > > > 1. Document id=1 is indexed
> > > > > > 2. Document successfully retrieved with /get?id=1
> > > > > > 3. Document failed to be retrieved with /get?id=1
> > > > > > 4. Document successfully retrieved with /get?id=1
> > > > > >
> > > > > > We've haven't looked at the issue in a while, so I don't have the
> > > exact
> > > > > > timing of that sequence on hand right now. I'll try to find an
> > actual
> > > > > > example, although I'm relatively certain it was multiple minutes
> in
> > > between
> > > > > > each of those requests. However our autocommit (and soft commit)
> > > times are
> > > > > > 60s for both collections.
> > > > > >
> > > > > > I think the following two are probably the biggest differences
> for
> > > our
> > > > > > setup, besides the version difference (v6.3.0):
> > > > > >
> > > > > > > index to this collection, perhaps not at a high rate
> > > > > > > separate the machines running solr from the one doing any
> > querying
> > > or
> > > > > > indexing
> > > > > >
> > > > > > The clients are on 3 hosts separate from the solr instances. The
> > > total
> > > > > > number of threads that are making updates and making /get
> requests
> > is
> > > > > > around 120-150. About 40-50 per host. Each of our two collections
> > > gets an
> > > > > > average of 500 requests per second constantly for ~5 minutes, and
> > > then the
> > > > > > number slowly tapers off to essentially 0 after ~15 minutes.
> > > > > >
> > > > > > Every thread attempts to make the same series of requests.
> > > > > >
> > > > > > -- Update with "_version_=-1". If successful, no other requests
> are
> > > made.
> > > > > > -- On 409 Conflict failure, it makes a /get request for the id
> > > > > > -- On doc:null failure, the client handles the error and moves on
> > > > > >
> > > > > > Combining this with the previous series of /get requests, we end
> up
> > > with
> > > > > > situations where an update fails as expected, but the subsequent
> > /get
> > > > > > request fails to retrieve the existing document:
> > > > > >
> > > > > > 1. Thread 1 updates id=1 successfully
> > > > > > 2. Thread 2 tries to update id=1, fails (409)
> > > > > > 3. Thread 2 tries to get id=1 succeeds.
> > > > > >
> > > > > > ...Minutes later...
> > > > > >
> > > > > > 4. Thread 3 tries to update id=1, fails (409)
> > > > > > 5. Thread 3 tries to get id=1, fails (doc:null)
> > > > > >
> > > > > > ...Minutes later...
> > > > > >
> > > > > > 6. Thread 4 tries to update id=1, fails (409)
> > > > > > 7. Thread 4 tries to get id=1 succeeds.
> > > > > >
> > > > > > As Steven mentioned, it happens very, very rarely. We tried to
> > > recreate it
> > > > > > in a more controlled environment, but ran into the same issue
> that
> > > you are,
> > > > > > Erick. Every simplified situation we ran produced no problems.
> > Since
> > > it's
> > > > > > not a large issue for us and happens very rarely, we stopped
> trying
> > > to
> > > > > > recreate it.
> > > > > >
> > > > > >
> > > > > > On Sun, Sep 30, 2018 at 9:16 PM Erick Erickson <
> > > erickerick...@gmail.com>
> > > > > > wrote:
> > > > > >
> > > > > > > 57 million queries later, with constant indexing going on and 9
> > > dummy
> > > > > > > collections in the mix and the main collection I'm querying
> > having
> > > 2
> > > > > > > shards, 2 replicas each, I have no errors.
> > > > > > >
> > > > > > > So unless the code doesn't look like it exercises any similar
> > path,
> > > > > > > I'm not sure what more I can test. "It works on my machine" ;)
> > > > > > >
> > > > > > > Here's my querying code, does it look like it what you're
> seeing?
> > > > > > >
> > > > > > >       while (Main.allStop.get() == false) {
> > > > > > >         try (SolrClient client = new HttpSolrClient.Builder()
> > > > > > > //("http://my-solr-server:8981/solr/eoe_shard1_replica_n4";)) {
> > > > > > >             .withBaseSolrUrl("http://localhost:8981/solr/eoe
> > ").build())
> > > {
> > > > > > >
> > > > > > >           //SolrQuery query = new SolrQuery();
> > > > > > >           String lower =
> > Integer.toString(rand.nextInt(1_000_000));
> > > > > > >           SolrDocument rsp = client.getById(lower);
> > > > > > >           if (rsp == null) {
> > > > > > >             System.out.println("Got a null response!");
> > > > > > >             Main.allStop.set(true);
> > > > > > >           }
> > > > > > >
> > > > > > >           rsp = client.getById(lower);
> > > > > > >
> > > > > > >           if (rsp.get("id").equals(lower) == false) {
> > > > > > >             System.out.println("Got an invalid response,
> looking
> > > for "
> > > > > > > + lower + " got: " + rsp.get("id"));
> > > > > > >             Main.allStop.set(true);
> > > > > > >           }
> > > > > > >           long queries = Main.eoeCounter.incrementAndGet();
> > > > > > >           if ((queries % 100_000) == 0) {
> > > > > > >             long seconds = (System.currentTimeMillis() -
> > > Main.start) /
> > > > > > > 1000;
> > > > > > >             System.out.println("Query count: " +
> > > > > > > numFormatter.format(queries) + ", rate is " +
> > > > > > > numFormatter.format(queries / seconds) + " QPS");
> > > > > > >           }
> > > > > > >         } catch (Exception cle) {
> > > > > > >           cle.printStackTrace();
> > > > > > >           Main.allStop.set(true);
> > > > > > >         }
> > > > > > >       }
> > > > > > >   }On Sat, Sep 29, 2018 at 12:46 PM Erick Erickson
> > > > > > > <erickerick...@gmail.com> wrote:
> > > > > > > >
> > > > > > > > Steve:
> > > > > > > >
> > > > > > > > bq.  Basically, one core had data in it that should belong to
> > > another
> > > > > > > > core. Here's my question about this: Is it possible that two
> > > request to
> > > > > > > the
> > > > > > > > /get API coming in at the same time would get confused and
> > > either both
> > > > > > > get
> > > > > > > > the same result or result get inverted?
> > > > > > > >
> > > > > > > > Well, that shouldn't be happening, these are all supposed to
> be
> > > > > > > thread-safe
> > > > > > > > calls.... All things are possible of course ;)
> > > > > > > >
> > > > > > > > If two replicas of the same shard have different documents,
> > that
> > > could
> > > > > > > account
> > > > > > > > for what you're seeing, meanwhile begging the question of why
> > > that is
> > > > > > > the case
> > > > > > > > since it should never be true for a quiescent index.
> > Technically
> > > there
> > > > > > > _are_
> > > > > > > > conditions where this is true on a very temporary basis,
> > commits
> > > on the
> > > > > > > leader
> > > > > > > > and follower can trigger at different wall-clock times. Say
> > your
> > > soft
> > > > > > > commit
> > > > > > > > (or hard-commit-with-opensearcher-true) is 10 seconds. It
> > should
> > > never
> > > > > > > be the
> > > > > > > > case that s1r1 and s1r2 are out of sync 10 seconds after the
> > > last update
> > > > > > > was
> > > > > > > > sent. This doesn't seem likely from what you've described
> > > though...
> > > > > > > >
> > > > > > > > Hmmmm. I guess that one other thing I can set up is to have a
> > > bunch of
> > > > > > > dummy
> > > > > > > > collections laying around. Currently I have only the active
> > one,
> > > and
> > > > > > > > if there's some
> > > > > > > > code path whereby the RTG request goes to a replica of a
> > > different
> > > > > > > > collection, my
> > > > > > > > test setup wouldn't reproduce it.
> > > > > > > >
> > > > > > > > Currently, I'm running a 2-shard, 1 replica setup, so if
> > there's
> > > some
> > > > > > > > way that the replicas
> > > > > > > > get out of sync that wouldn't show either.
> > > > > > > >
> > > > > > > > So I'm starting another run with these changes:
> > > > > > > > > opening a new connection each query
> > > > > > > > > switched so the collection I'm querying is 2x2
> > > > > > > > > added some dummy collections that are empty
> > > > > > > >
> > > > > > > > One nit, while "core" is exactly correct. When we talk about
> a
> > > core
> > > > > > > > that's part of a collection, we try to use "replica" to be
> > clear
> > > we're
> > > > > > > > talking about
> > > > > > > > a core with some added characteristics, i.e. we're in
> > > SolrCloud-land.
> > > > > > > > No big deal
> > > > > > > > of course....
> > > > > > > >
> > > > > > > > Best,
> > > > > > > > Erick
> > > > > > > > On Sat, Sep 29, 2018 at 8:28 AM Shawn Heisey <
> > > apa...@elyograg.org>
> > > > > > > wrote:
> > > > > > > > >
> > > > > > > > > On 9/28/2018 8:11 PM, sgaron cse wrote:
> > > > > > > > > > @Shawn
> > > > > > > > > > We're running two instance on one machine for two reason:
> > > > > > > > > > 1. The box has plenty of resources (48 cores / 256GB ram)
> > > and since
> > > > > > > I was
> > > > > > > > > > reading that it's not recommended to use more than 31GB
> of
> > > heap in
> > > > > > > SOLR we
> > > > > > > > > > figured 96 GB for keeping index data in OS cache + 31 GB
> of
> > > heap per
> > > > > > > > > > instance was a good idea.
> > > > > > > > >
> > > > > > > > > Do you know that these Solr instances actually DO need 31
> GB
> > > of heap,
> > > > > > > or
> > > > > > > > > are you following advice from somewhere, saying "use one
> > > quarter of
> > > > > > > your
> > > > > > > > > memory as the heap size"?  That advice is not in the Solr
> > > > > > > documentation,
> > > > > > > > > and never will be.  Figuring out the right heap size
> requires
> > > > > > > > > experimentation.
> > > > > > > > >
> > > > > > > > >
> > > > > > >
> > >
> >
> https://wiki.apache.org/solr/SolrPerformanceProblems#How_much_heap_space_do_I_need.3F
> > > > > > > > >
> > > > > > > > > How big (on disk) are each of these nine cores, and how
> many
> > > documents
> > > > > > > > > are in each one?  Which of them is in each Solr instance?
> > > With that
> > > > > > > > > information, we can make a *guess* about how big your heap
> > > should be.
> > > > > > > > > Figuring out whether the guess is correct generally
> requires
> > > careful
> > > > > > > > > analysis of a GC log.
> > > > > > > > >
> > > > > > > > > > 2. We're in testing phase so we wanted a SOLR cloud
> > > configuration,
> > > > > > > we will
> > > > > > > > > > most likely have a much bigger deployment once going to
> > > production.
> > > > > > > In prod
> > > > > > > > > > right now, we currently to run a six machines Riak
> cluster.
> > > Riak is a
> > > > > > > > > > key/value document store an has SOLR built-in for search,
> > > but we are
> > > > > > > trying
> > > > > > > > > > to push the key/value aspect of Riak inside SOLR. That
> way
> > > we would
> > > > > > > have
> > > > > > > > > > one less piece to worry about in our system.
> > > > > > > > >
> > > > > > > > > Solr is not a database.  It is not intended to be a data
> > > repository.
> > > > > > > > > All of its optimizations (most of which are actually in
> > > Lucene) are
> > > > > > > > > geared towards search.  While technically it can be a
> > > key-value store,
> > > > > > > > > that is not what it was MADE for.  Software actually
> designed
> > > for that
> > > > > > > > > role is going to be much better than Solr as a key-value
> > store.
> > > > > > > > >
> > > > > > > > > > When I say null document, I mean the /get API returns:
> > {doc:
> > > null}
> > > > > > > > > >
> > > > > > > > > > The problem is definitely not always there. We also have
> > > large
> > > > > > > period of
> > > > > > > > > > time (few hours) were we have no problems. I'm just
> > extremely
> > > > > > > hesitant on
> > > > > > > > > > retrying when I get a null document because in some case,
> > > getting a
> > > > > > > null
> > > > > > > > > > document is a valid outcome. Our caching layer heavily
> rely
> > > on this
> > > > > > > for
> > > > > > > > > > example. If I was to retry every nulls I'd pay a big
> > penalty
> > > in
> > > > > > > > > > performance.
> > > > > > > > >
> > > > > > > > > I've just done a little test with the 7.5.0 techproducts
> > > example.  It
> > > > > > > > > looks like returning doc:null actually is how the RTG
> handler
> > > says it
> > > > > > > > > didn't find the document.  This seems very wrong to me,
> but I
> > > didn't
> > > > > > > > > design it, and that response needs SOME kind of format.
> > > > > > > > >
> > > > > > > > > Have you done any testing to see whether the standard
> > > searching handler
> > > > > > > > > (typically /select, but many other URL paths are possible)
> > > returns
> > > > > > > > > results when RTG doesn't?  Do you know for these failures
> > > whether the
> > > > > > > > > document has been committed or not?
> > > > > > > > >
> > > > > > > > > > As for your last comment, part of our testing phase is
> also
> > > testing
> > > > > > > the
> > > > > > > > > > limits. Our framework has auto-scaling built-in so if we
> > > have a
> > > > > > > burst of
> > > > > > > > > > request, the system will automatically spin up more
> > clients.
> > > We're
> > > > > > > pushing
> > > > > > > > > > 10% of our production system to that Test server to see
> how
> > > it will
> > > > > > > handle
> > > > > > > > > > it.
> > > > > > > > >
> > > > > > > > > To spin up another replica, Solr must copy all its index
> data
> > > from the
> > > > > > > > > leader replica.  Not only can this take a long time if the
> > > index is
> > > > > > > big,
> > > > > > > > > but it will put a lot of extra I/O load on the machine(s)
> > with
> > > the
> > > > > > > > > leader roles.  So performance will actually be WORSE before
> > it
> > > gets
> > > > > > > > > better when you spin up another replica, and if the index
> is
> > > big, that
> > > > > > > > > condition will persist for quite a while.  Copying the
> index
> > > data will
> > > > > > > > > be constrained by the speed of your network and by the
> speed
> > > of your
> > > > > > > > > disks.  Often the disks are slower than the network, but
> that
> > > is not
> > > > > > > > > always the case.
> > > > > > > > >
> > > > > > > > > Thanks,
> > > > > > > > > Shawn
> > > > > > > > >
> > > > > > >
> > >
> >
>

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