I see also exploding numbers in a quick local test on 1.1.0, thousands of
segments are created, but I'm not sure if this behavior is expected or not.
But that does not look like it should. It slows down bulk indexing
significantly.

Issuing an optimize just stalls...

curl '0:9200/test/_optimize?max_num_segments=1'

Does anyone see something similar?

Stack trace excerpt:

"elasticsearch[Doctor Strange][optimize][T#1]" #81 daemon prio=5 os_prio=31
tid=0x00007f85cdd9f800 nid=0xc507 in Object.wait() [0x000000012c140000]
   java.lang.Thread.State: TIMED_WAITING (on object monitor)
at java.lang.Object.wait(Native Method)
at org.apache.lucene.index.IndexWriter.doWait(IndexWriter.java:4339)
- locked <0x00000006cee0fad0> (a org.apache.lucene.index.IndexWriter)
at org.apache.lucene.index.IndexWriter.waitForMerges(IndexWriter.java:2262)
- locked <0x00000006cee0fad0> (a org.apache.lucene.index.IndexWriter)
at
org.elasticsearch.index.engine.internal.InternalEngine.optimize(InternalEngine.java:998)
at
org.elasticsearch.index.shard.service.InternalIndexShard.optimize(InternalIndexShard.java:599)
at
org.elasticsearch.action.admin.indices.optimize.TransportOptimizeAction.shardOperation(TransportOptimizeAction.java:115)
at
org.elasticsearch.action.admin.indices.optimize.TransportOptimizeAction.shardOperation(TransportOptimizeAction.java:49)
at
org.elasticsearch.action.support.broadcast.TransportBroadcastOperationAction$AsyncBroadcastAction$2.run(TransportBroadcastOperationAction.java:226)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:744)

(node name "Doctor Strange" was not my selection btw)

Jörg



On Sat, Apr 12, 2014 at 8:09 PM, Thibaut Britz <t.br...@trendiction.com>wrote:

> Hi,
>
> We also have this issue in 1.0.2. Per index we have over 1000 segments.
> Optimize doesn't reduce them.
>
> Would love to see a fix for this.
>
> Thanks,
> Thibaut
>
>
>
> On Fri, Apr 11, 2014 at 2:22 PM, Nikolas Everett <nik9...@gmail.com>wrote:
>
>> For reference I'm also on 1.1.0 but I'm not seeing more segments then I
>> expect.  I see an average of ~28 per shard on an index I write to
>> constantly.  I don't write all that quickly, < 50 updates a second.
>>
>> Nik
>>
>>
>> On Fri, Apr 11, 2014 at 5:46 AM, Adrien Grand <
>> adrien.gr...@elasticsearch.com> wrote:
>>
>>> I managed to reproduce the issue locally, I'm looking into it.
>>>
>>>
>>> On Fri, Apr 11, 2014 at 9:45 AM, Robin Wallin <walro...@gmail.com>wrote:
>>>
>>>> Hello,
>>>>
>>>> We are experiencing a related problem with 1.1.0. Segments do not seem
>>>> to merge as they should during indexing. The optimize API does practically
>>>> nothing in terms of lowering the segments count either. The problem
>>>> persists through a cluster restart. The vast amount of segments seem to be
>>>> greatly impact the performance of the cluster, in a very negative way.
>>>>
>>>> We currently have 414 million documents across 3 nodes, each shard has
>>>> in average 1200 segments(!).
>>>>
>>>> With 1.0.1 we had even more documents, ~650 million, without any
>>>> segment problems. Looking in Marvel we were hovering at around 30-40
>>>> segments per shard back then.
>>>>
>>>> Best Regards,
>>>> Robin
>>>>
>>>> On Friday, April 11, 2014 1:35:42 AM UTC+2, Adrien Grand wrote:
>>>>
>>>>> Thanks for reporting this, the behavior is definitely unexpected. I'll
>>>>> test _optimize on very large numbers of shards to see if I can reproduce
>>>>> the issue.
>>>>>
>>>>>
>>>>>  On Thu, Apr 10, 2014 at 2:10 PM, Elliott Bradshaw <ebrad...@gmail.com
>>>>> > wrote:
>>>>>
>>>>>>  Adrien,
>>>>>>
>>>>>> Just an FYI, after resetting the cluster, things seem to have
>>>>>> improved.  Optimize calls now lead to CPU/IO activity over their 
>>>>>> duration.
>>>>>> Max_num_segments=1 does not seem to be working for me on any given call, 
>>>>>> as
>>>>>> each call would only reduce the segment count by about 600-700.  I ran 10
>>>>>> calls in sequence overnight, and actually got down to 4 segments 
>>>>>> (1/shard)!
>>>>>>
>>>>>> I'm glad I got the index optimized, searches are literally 10-20
>>>>>> times faster without 1500/segments per shard to deal with.  It's awesome.
>>>>>>
>>>>>> That said, any thoughts on why the index wasn't merging on its own,
>>>>>> or why optimize was returning prematurely?
>>>>>>
>>>>>>
>>>>>> On Wednesday, April 9, 2014 11:10:56 AM UTC-4, Elliott Bradshaw wrote:
>>>>>>>
>>>>>>> Hi Adrien,
>>>>>>>
>>>>>>> I kept the logs up over the last optimize call, and I did see an
>>>>>>> exception.  I Ctrl-C'd a curl optimize call before making another one, 
>>>>>>> but
>>>>>>> I don't think that that caused this exception.  The error is 
>>>>>>> essentially as
>>>>>>> follows:
>>>>>>>
>>>>>>> netty - Caught exception while handling client http traffic, closing
>>>>>>> connection [id: 0x4d8f1a90, /127.0.0.1:33480 :> /127.0.0.1:9200]
>>>>>>>
>>>>>>> java.nio.channels.ClosedChannelException at AbstractNioWorker.
>>>>>>> cleanUpWriteBuffer(AbstractNioWorker.java:433)
>>>>>>> at AbstractNioWorker.writeFromUserCode
>>>>>>> at NioServerSocketPipelineSink.handleAcceptedSocket
>>>>>>> at NioServerSocketPipelineSink.eventSunk
>>>>>>> at DefaultChannelPipeline$DefaultChannelhandlerContext.sendDown
>>>>>>> stream
>>>>>>> at Channels.write
>>>>>>> at OneToOneEncoder.doEncode
>>>>>>> at OneToOneEncoder.handleDownstream
>>>>>>> at DefaultChannelPipeline.sendDownstream
>>>>>>> at DefaultChannelPipeline.sendDownstream
>>>>>>> at Channels.write
>>>>>>> at AbstractChannel.write
>>>>>>> at NettyHttpChannel.sendResponse
>>>>>>> at RestOptimizeAction$1.onResponse(95)
>>>>>>> at RestOptimizeAction$1.onResponse(85)
>>>>>>> at TransportBroadcastOperationAction$AsyncBroadcastAction.finishHim
>>>>>>> at TransportBroadcastOperationAction$AsyncBroadcastAction.onOpe
>>>>>>> ration
>>>>>>> at TransportBroadcastOperationAction$AsyncBroadcastAction$2.run
>>>>>>>
>>>>>>> Sorry about the crappy stack trace.  Still, looks like this might
>>>>>>> point to a problem!  The exception fired about an hour after I kicked 
>>>>>>> off
>>>>>>> the optimize.  Any thoughts?
>>>>>>>
>>>>>>> On Wednesday, April 9, 2014 10:06:57 AM UTC-4, Elliott Bradshaw
>>>>>>> wrote:
>>>>>>>>
>>>>>>>> Hi Adrien,
>>>>>>>>
>>>>>>>> I did customize my merge policy, although I did so only because I
>>>>>>>> was so surprised by the number of segments left over after the load.  
>>>>>>>> I'm
>>>>>>>> pretty sure the optimize problem was happening before I made this 
>>>>>>>> change,
>>>>>>>> but either way here are my settings:
>>>>>>>>
>>>>>>>> "index" : {
>>>>>>>> "merge" : {
>>>>>>>> "policy" : {
>>>>>>>> "max_merged_segment" : "20gb",
>>>>>>>> "segments_per_tier" : 5,
>>>>>>>> "floor_segment" : "10mb"
>>>>>>>> },
>>>>>>>> "scheduler" : "concurrentmergescheduler"
>>>>>>>> }
>>>>>>>> }
>>>>>>>>
>>>>>>>> Not sure whether this set up could be a contributing factor or
>>>>>>>> not.  Nothing really jumps out at me in the logs.  In fact, when i 
>>>>>>>> kick off
>>>>>>>> the optimize, I don't see any logging at all.  Should I?
>>>>>>>>
>>>>>>>> I'm running the following command: curl -XPOST
>>>>>>>> http://localhost:9200/index/_optimize
>>>>>>>>
>>>>>>>> Thanks!
>>>>>>>>
>>>>>>>>
>>>>>>>> On Wednesday, April 9, 2014 8:56:35 AM UTC-4, Adrien Grand wrote:
>>>>>>>>>
>>>>>>>>> Hi Elliott,
>>>>>>>>>
>>>>>>>>> 1500 segments per shard is certainly way too much, and it is not
>>>>>>>>> normal that optimize doesn't manage to reduce the number of segments.
>>>>>>>>>  - Is there anything suspicious in the logs?
>>>>>>>>>  - Have you customized the merge policy or scheduler?[1]
>>>>>>>>>  - Does the issue still reproduce if you restart your cluster?
>>>>>>>>>
>>>>>>>>> [1] http://www.elasticsearch.org/guide/en/elasticsearch/referenc
>>>>>>>>> e/current/index-modules-merge.html
>>>>>>>>>
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> On Wed, Apr 9, 2014 at 2:38 PM, Elliott Bradshaw <
>>>>>>>>> ebrad...@gmail.com> wrote:
>>>>>>>>>
>>>>>>>>>> Any other thoughts on this?  Would 1500 segments per shard be
>>>>>>>>>> significantly impacting performance?  Have you guys noticed this 
>>>>>>>>>> behavior
>>>>>>>>>> elsewhere?
>>>>>>>>>>
>>>>>>>>>> Thanks.
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>> On Monday, April 7, 2014 8:56:38 AM UTC-4, Elliott Bradshaw wrote:
>>>>>>>>>>>
>>>>>>>>>>> Adrian,
>>>>>>>>>>>
>>>>>>>>>>> I ran the following command:
>>>>>>>>>>>
>>>>>>>>>>> curl -XPUT http://localhost:9200/_settings -d
>>>>>>>>>>> '{"indices.store.throttle.max_bytes_per_sec" : "10gb"}'
>>>>>>>>>>>
>>>>>>>>>>> and received a { "acknowledged" : "true" } response.  The logs
>>>>>>>>>>> showed "cluster state updated".
>>>>>>>>>>>
>>>>>>>>>>> I did have to close my index prior to changing the setting and
>>>>>>>>>>> reopen afterward.
>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>> I've since began another optimize, but again it doesn't look
>>>>>>>>>>> like much is happening.  The optimize isn't returning and the total 
>>>>>>>>>>> CPU
>>>>>>>>>>> usage on every node is holding at about 2% of a single core.  I 
>>>>>>>>>>> would copy
>>>>>>>>>>> a hot_threads stack trace, but I'm unfortunately on a closed 
>>>>>>>>>>> network and
>>>>>>>>>>> this isn't possible.  I can tell you that refreshes of hot_threads 
>>>>>>>>>>> show
>>>>>>>>>>> vary little happening.  The occasional [merge] thread (always in a
>>>>>>>>>>> LinkedTransferQueue.awaitMatch() state) or [optimize] (doing
>>>>>>>>>>> nothing on a waitForMerge() call) thread shows up, but it's always
>>>>>>>>>>> consuming 0-1% CPU.  It sure feels like something isn't right.  Any
>>>>>>>>>>> thoughts?
>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>> On Fri, Apr 4, 2014 at 3:24 PM, Adrien Grand <
>>>>>>>>>>> adrien...@elasticsearch.com> wrote:
>>>>>>>>>>>
>>>>>>>>>>>> Did you see a message in the logs confirming that the setting
>>>>>>>>>>>> has been updated? It would be interesting to see the output of hot
>>>>>>>>>>>> threads[1] to see what your node is doing.
>>>>>>>>>>>>
>>>>>>>>>>>> [1] http://www.elasticsearch.org/guide/en/elasticsearch/
>>>>>>>>>>>> reference/current/cluster-nodes-hot-threads.html
>>>>>>>>>>>>
>>>>>>>>>>>>
>>>>>>>>>>>> On Fri, Apr 4, 2014 at 7:18 PM, Elliott Bradshaw <
>>>>>>>>>>>> ebrad...@gmail.com> wrote:
>>>>>>>>>>>>
>>>>>>>>>>>>> Yes. I have run max_num_segments=1 every time.
>>>>>>>>>>>>>
>>>>>>>>>>>>>
>>>>>>>>>>>>> On Fri, Apr 4, 2014 at 12:26 PM, Michael Sick <
>>>>>>>>>>>>> michae...@serenesoftware.com> wrote:
>>>>>>>>>>>>>
>>>>>>>>>>>>>> Have you tried max_num_segments=1 on your optimize?
>>>>>>>>>>>>>>
>>>>>>>>>>>>>> On Fri, Apr 4, 2014 at 11:27 AM, Elliott Bradshaw <
>>>>>>>>>>>>>> ebrad...@gmail.com> wrote:
>>>>>>>>>>>>>>
>>>>>>>>>>>>>>> Any thoughts on this?  I've run optimize several more times,
>>>>>>>>>>>>>>> and the number of segments falls each time, but I'm still over 
>>>>>>>>>>>>>>> 1000
>>>>>>>>>>>>>>> segments per shard.  Has anyone else run into something similar?
>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>> On Thursday, April 3, 2014 11:21:29 AM UTC-4, Elliott
>>>>>>>>>>>>>>> Bradshaw wrote:
>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>> OK.  Optimize finally returned, so I suppose something was
>>>>>>>>>>>>>>>> happening in the background, but I'm still seeing over 6500 
>>>>>>>>>>>>>>>> segments.  Even
>>>>>>>>>>>>>>>> after setting max_num_segments=5.  Does this seem right?  
>>>>>>>>>>>>>>>> Queries are a
>>>>>>>>>>>>>>>> little faster (350-400ms) but still not great.  Bigdesk is 
>>>>>>>>>>>>>>>> still showing a
>>>>>>>>>>>>>>>> fair amount of file IO.
>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>> On Thursday, April 3, 2014 8:47:32 AM UTC-4, Elliott
>>>>>>>>>>>>>>>> Bradshaw wrote:
>>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>>> Hi All,
>>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>>> I've recently upgraded to Elasticsearch 1.1.0.  I've got a
>>>>>>>>>>>>>>>>> 4 node cluster, each with 64G of ram, with 24G allocated to 
>>>>>>>>>>>>>>>>> Elasticsearch
>>>>>>>>>>>>>>>>> on each.  I've batch loaded approximately 86 million 
>>>>>>>>>>>>>>>>> documents into a
>>>>>>>>>>>>>>>>> single index (4 shards) and have started benchmarking
>>>>>>>>>>>>>>>>> cross_field/multi_match queries on them.  The index has one 
>>>>>>>>>>>>>>>>> replica and
>>>>>>>>>>>>>>>>> takes up a total of 111G.  I've run several batches of 
>>>>>>>>>>>>>>>>> warming queries, but
>>>>>>>>>>>>>>>>> queries are not as fast as I had hoped, approximately 
>>>>>>>>>>>>>>>>> 400-500ms each.
>>>>>>>>>>>>>>>>> Given that *top *(on Centos) shows 5-8 GB of free memory
>>>>>>>>>>>>>>>>> on each server, I would assume that the entire index has been 
>>>>>>>>>>>>>>>>> paged into
>>>>>>>>>>>>>>>>> memory (I had worried about disk performance previously, as 
>>>>>>>>>>>>>>>>> we are working
>>>>>>>>>>>>>>>>> in a virtualized environment).
>>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>>> A stats query on the index in questions shows that the
>>>>>>>>>>>>>>>>> index is composed of > 7000 segments.  This seemed high to 
>>>>>>>>>>>>>>>>> me, but maybe
>>>>>>>>>>>>>>>>> it's appropriate.  Regardless, I dispatched an optimize 
>>>>>>>>>>>>>>>>> command, but I am
>>>>>>>>>>>>>>>>> not seeing any progress and the command has not returned.  
>>>>>>>>>>>>>>>>> Current merges
>>>>>>>>>>>>>>>>> remains at zero, and the segment count is not changing.  
>>>>>>>>>>>>>>>>> Checking out hot
>>>>>>>>>>>>>>>>> threads in ElasticHQ, I initially saw an optimize call in the 
>>>>>>>>>>>>>>>>> stack that
>>>>>>>>>>>>>>>>> was blocked on a waitForMerge call.  This however has 
>>>>>>>>>>>>>>>>> disappeared, and I'm
>>>>>>>>>>>>>>>>> seeing no evidence that the optimize is occuring.
>>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>>> Does any of this seem out of the norm or unusual?  Has
>>>>>>>>>>>>>>>>> anyone else had similar issues.  This is the second time I 
>>>>>>>>>>>>>>>>> have tried to
>>>>>>>>>>>>>>>>> optimize an index since upgrading.  I've gotten the same 
>>>>>>>>>>>>>>>>> result both time.
>>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>>> Thanks in advance for any help/tips!
>>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>>> - Elliott
>>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>>  --
>>>>>>>>>>>>>>> You received this message because you are subscribed to the
>>>>>>>>>>>>>>> Google Groups "elasticsearch" group.
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>>>>>>>>>>>>>>> from it, send an email to elasticsearc...@googlegroups.com.
>>>>>>>>>>>>>>>  To view this discussion on the web visit
>>>>>>>>>>>>>>> https://groups.google.com/d/msgid/elasticsearch/5391291f-5c5
>>>>>>>>>>>>>>> e-4088-a1f2-93272beef0bb%40googlegroups.com<https://groups.google.com/d/msgid/elasticsearch/5391291f-5c5e-4088-a1f2-93272beef0bb%40googlegroups.com?utm_medium=email&utm_source=footer>
>>>>>>>>>>>>>>> .
>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>> For more options, visit https://groups.google.com/d/optout.
>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>
>>>>>>>>>>>>>>  --
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>>>>>>>>>>>>>> iGct2%3Db%3DfupaKYFnA5fR2TBsxHoURJumHSyODFA%40mail.gmail.com<https://groups.google.com/d/msgid/elasticsearch/CAP8axnD7BUziGct2%3Db%3DfupaKYFnA5fR2TBsxHoURJumHSyODFA%40mail.gmail.com?utm_medium=email&utm_source=footer>
>>>>>>>>>>>>>> .
>>>>>>>>>>>>>>
>>>>>>>>>>>>>> For more options, visit https://groups.google.com/d/optout.
>>>>>>>>>>>>>>
>>>>>>>>>>>>>
>>>>>>>>>>>>>  --
>>>>>>>>>>>>> You received this message because you are subscribed to the
>>>>>>>>>>>>> Google Groups "elasticsearch" group.
>>>>>>>>>>>>> To unsubscribe from this group and stop receiving emails from
>>>>>>>>>>>>> it, send an email to elasticsearc...@googlegroups.com.
>>>>>>>>>>>>>  To view this discussion on the web visit
>>>>>>>>>>>>> https://groups.google.com/d/msgid/elasticsearch/CAGCt%2BFvoS
>>>>>>>>>>>>> QTvv%2B6G%3D3GOX27AuYdEwLiW%3Demc0JTouT9%2BBeUk_A%40mail.gma
>>>>>>>>>>>>> il.com<https://groups.google.com/d/msgid/elasticsearch/CAGCt%2BFvoSQTvv%2B6G%3D3GOX27AuYdEwLiW%3Demc0JTouT9%2BBeUk_A%40mail.gmail.com?utm_medium=email&utm_source=footer>
>>>>>>>>>>>>> .
>>>>>>>>>>>>>
>>>>>>>>>>>>> For more options, visit https://groups.google.com/d/optout.
>>>>>>>>>>>>>
>>>>>>>>>>>>
>>>>>>>>>>>>
>>>>>>>>>>>>
>>>>>>>>>>>> --
>>>>>>>>>>>> Adrien Grand
>>>>>>>>>>>>
>>>>>>>>>>>> --
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>>>>>>>>>>>> To view this discussion on the web visit
>>>>>>>>>>>> https://groups.google.com/d/msgid/elasticsearch/CAL6Z4j6sQrP
>>>>>>>>>>>> jijV86nYGoGTAQ%3D3cO_pgyYE6%2B3sGjJPr8%2BKDsg%40mail.gmail.com<https://groups.google.com/d/msgid/elasticsearch/CAL6Z4j6sQrPjijV86nYGoGTAQ%3D3cO_pgyYE6%2B3sGjJPr8%2BKDsg%40mail.gmail.com?utm_medium=email&utm_source=footer>
>>>>>>>>>>>> .
>>>>>>>>>>>>
>>>>>>>>>>>> For more options, visit https://groups.google.com/d/optout.
>>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>>  --
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>>>>>>>>>> send an email to elasticsearc...@googlegroups.com.
>>>>>>>>>> To view this discussion on the web visit
>>>>>>>>>> https://groups.google.com/d/msgid/elasticsearch/8742280e-922
>>>>>>>>>> f-4e91-bcb2-6096ca0165e6%40googlegroups.com<https://groups.google.com/d/msgid/elasticsearch/8742280e-922f-4e91-bcb2-6096ca0165e6%40googlegroups.com?utm_medium=email&utm_source=footer>
>>>>>>>>>> .
>>>>>>>>>>
>>>>>>>>>> For more options, visit https://groups.google.com/d/optout.
>>>>>>>>>>
>>>>>>>>>
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> --
>>>>>>>>> Adrien Grand
>>>>>>>>>
>>>>>>>>  --
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>>>>>> msgid/elasticsearch/344b09db-a2d8-4c2d-a917-dbf53eda03ce%
>>>>>> 40googlegroups.com<https://groups.google.com/d/msgid/elasticsearch/344b09db-a2d8-4c2d-a917-dbf53eda03ce%40googlegroups.com?utm_medium=email&utm_source=footer>
>>>>>> .
>>>>>>
>>>>>> For more options, visit https://groups.google.com/d/optout.
>>>>>>
>>>>>
>>>>>
>>>>>
>>>>> --
>>>>> Adrien Grand
>>>>>
>>>>  --
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>>>> .
>>>>
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>>>
>>>
>>>
>>> --
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>>>
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