Lucene index corruption on nodes restart

We are using a small elasticsearch cluster of three nodes, version 1.0.1.
Each node has 7 GB RAM. Our software creates daily indexes for storing it's
data. Daily index is something around 5 GB. Unfortunately, for a reason,
Elasticsearch eats up all RAM and hangs the node, even though heap size is
set to 6 GB max. So we decided to use monit to restart it on reaching
memory limit of 90%. It works, but sometimes we got such errors:

[2014-03-22 16:56:04,943][DEBUG][action.search.type ] [es-00]
[product-22-03-2014][0], node[jbUDVzuvS5GTM7iOG8iwzQ], [P], s[STARTED]:
Failed to execute [org.elasticsearch.action.search.SearchRequest@687dc039]
org.elasticsearch.search.fetch.FetchPhaseExecutionException:
[product-22-03-2014][0]: query[filtered(ToParentBlockJoinQuery
(filtered(history.created:[1392574921000 TO
*])->cache(_type:__history)))->cache(_type:product)],from[0],size[1000],sort[<custom:"history.created":
org.elasticsearch.index.search.nested.NestedFieldComparatorSource@15e4ece9>]:
Fetch Failed [Failed to fetch doc id [7263214]]
at
org.elasticsearch.search.fetch.FetchPhase.loadStoredFields(FetchPhase.java:230)
at
org.elasticsearch.search.fetch.FetchPhase.execute(FetchPhase.java:156)
at
org.elasticsearch.search.SearchService.executeFetchPhase(SearchService.java:332)
at
org.elasticsearch.search.action.SearchServiceTransportAction.sendExecuteFetch(SearchServiceTransportAction.java:304)
at
org.elasticsearch.action.search.type.TransportSearchQueryAndFetchAction$AsyncAction.sendExecuteFirstPhase(TransportSearchQueryAndFetchAction.java:71)
at
org.elasticsearch.action.search.type.TransportSearchTypeAction$BaseAsyncAction.performFirstPhase(TransportSearchTypeAction.java:216)
at
org.elasticsearch.action.search.type.TransportSearchTypeAction$BaseAsyncAction$4.run(TransportSearchTypeAction.java:292)
at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown
Source)
at java.lang.Thread.run(Unknown Source)
Caused by: java.io.EOFException: seek past EOF:
MMapIndexInput(path="/opt/elasticsearch/main/nodes/0/indices/product-22-03-2014/0/index/_9lz.fdt")
at
org.apache.lucene.store.ByteBufferIndexInput.seek(ByteBufferIndexInput.java:174)
at
org.apache.lucene.codecs.compressing.CompressingStoredFieldsReader.visitDocument(CompressingStoredFieldsReader.java:229)
at
org.apache.lucene.index.SegmentReader.document(SegmentReader.java:276)
at
org.apache.lucene.index.BaseCompositeReader.document(BaseCompositeReader.java:110)
at
org.apache.lucene.search.IndexSearcher.doc(IndexSearcher.java:196)
at
org.elasticsearch.search.fetch.FetchPhase.loadStoredFields(FetchPhase.java:228)
... 9 more
[2014-03-22 16:56:04,944][DEBUG][action.search.type ] [es-00] All
shards failed for phase: [query_fetch]

According to our logs, this might happen when one or two nodes get
restarted. More strangely, same shard got corrupted on all nodes of
cluster. Why could this happen? How can we fix it? Can you suggest us how
to fix memory usage?

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Replication settings are: 1 shard per index, 2 replicas.

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It "sounds" like you might be reaching the RAM limits of your hardware
based on your searches. I'd probably try to analyze your searches and
(re)size your hardware appropriately. First thing to check is how much
fielddata you are using for typical daily queries:

curl "localhost:9200/_nodes/stats/indices/fielddata/*?pretty"

6GB allocated to ES on a 7GB RAM is probably a bit too much - need some
breathing room for OS and file system.

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Regarding the corruption - that is a lucene problem that we are working on
to address. The corruption might have happened a while ago already but you
are only happen to see it now. There is no integrity checks in lucene yet
so if there is a corrputed index due to HW failure you will also replicate
it if you recover from one of those corrputed shards. It's hard to address
on the Elasticsaerch level at this point but we will have to fix it in
lucene in the very near future.

On Saturday, March 22, 2014 2:04:56 PM UTC+1, Andrey Perminov wrote:

We are using a small elasticsearch cluster of three nodes, version 1.0.1.
Each node has 7 GB RAM. Our software creates daily indexes for storing it's
data. Daily index is something around 5 GB. Unfortunately, for a reason,
Elasticsearch eats up all RAM and hangs the node, even though heap size is
set to 6 GB max. So we decided to use monit to restart it on reaching
memory limit of 90%. It works, but sometimes we got such errors:

[2014-03-22 16:56:04,943][DEBUG][action.search.type ] [es-00]
[product-22-03-2014][0], node[jbUDVzuvS5GTM7iOG8iwzQ], [P], s[STARTED]:
Failed to execute [org.elasticsearch.action.search.SearchRequest@687dc039]
org.elasticsearch.search.fetch.FetchPhaseExecutionException:
[product-22-03-2014][0]: query[filtered(ToParentBlockJoinQuery
(filtered(history.created:[1392574921000 TO
*])->cache(_type:__history)))->cache(_type:product)],from[0],size[1000],sort[<custom:"history.created":
org.elasticsearch.index.search.nested.NestedFieldComparatorSource@15e4ece9>]:
Fetch Failed [Failed to fetch doc id [7263214]]
at
org.elasticsearch.search.fetch.FetchPhase.loadStoredFields(FetchPhase.java:230)
at
org.elasticsearch.search.fetch.FetchPhase.execute(FetchPhase.java:156)
at
org.elasticsearch.search.SearchService.executeFetchPhase(SearchService.java:332)
at
org.elasticsearch.search.action.SearchServiceTransportAction.sendExecuteFetch(SearchServiceTransportAction.java:304)
at
org.elasticsearch.action.search.type.TransportSearchQueryAndFetchAction$AsyncAction.sendExecuteFirstPhase(TransportSearchQueryAndFetchAction.java:71)
at
org.elasticsearch.action.search.type.TransportSearchTypeAction$BaseAsyncAction.performFirstPhase(TransportSearchTypeAction.java:216)
at
org.elasticsearch.action.search.type.TransportSearchTypeAction$BaseAsyncAction$4.run(TransportSearchTypeAction.java:292)
at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown
Source)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown
Source)
at java.lang.Thread.run(Unknown Source)
Caused by: java.io.EOFException: seek past EOF:
MMapIndexInput(path="/opt/elasticsearch/main/nodes/0/indices/product-22-03-2014/0/index/_9lz.fdt")
at
org.apache.lucene.store.ByteBufferIndexInput.seek(ByteBufferIndexInput.java:174)
at
org.apache.lucene.codecs.compressing.CompressingStoredFieldsReader.visitDocument(CompressingStoredFieldsReader.java:229)
at
org.apache.lucene.index.SegmentReader.document(SegmentReader.java:276)
at
org.apache.lucene.index.BaseCompositeReader.document(BaseCompositeReader.java:110)
at
org.apache.lucene.search.IndexSearcher.doc(IndexSearcher.java:196)
at
org.elasticsearch.search.fetch.FetchPhase.loadStoredFields(FetchPhase.java:228)
... 9 more
[2014-03-22 16:56:04,944][DEBUG][action.search.type ] [es-00] All
shards failed for phase: [query_fetch]

According to our logs, this might happen when one or two nodes get
restarted. More strangely, same shard got corrupted on all nodes of
cluster. Why could this happen? How can we fix it? Can you suggest us how
to fix memory usage?

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Few days ago we found we've got that same error when we search for data.

reason: "FetchPhaseExecutionException[[site_production][1]:
query[ConstantScore(cache(_type:ademail))],from[0],size[648]: Fetch Failed
[Failed to fetch doc id [9615533]]]; nested: EOFException[seek past EOF:
MMapIndexInput(path="/opt/elasticsearch/data/naprawa/nodes/0/indices/site_production/1/index/_573oa.fdt")];

After this error, elasticsearch stop search and don't return all results,
even if they are returned properly in other query. Is there any way to fix
this index? We try checkIndex from Luccene core library, after that we lost
~20 milions of documents but error still occurs. Also we try to restore
index from snapshot, but error still occurs :/.

W dniu sobota, 22 marca 2014 14:04:56 UTC+1 użytkownik Andrey Perminov
napisał:

We are using a small elasticsearch cluster of three nodes, version 1.0.1.
Each node has 7 GB RAM. Our software creates daily indexes for storing it's
data. Daily index is something around 5 GB. Unfortunately, for a reason,
Elasticsearch eats up all RAM and hangs the node, even though heap size is
set to 6 GB max. So we decided to use monit to restart it on reaching
memory limit of 90%. It works, but sometimes we got such errors:

[2014-03-22 16:56:04,943][DEBUG][action.search.type ] [es-00]
[product-22-03-2014][0], node[jbUDVzuvS5GTM7iOG8iwzQ], [P], s[STARTED]:
Failed to execute [org.elasticsearch.action.search.SearchRequest@687dc039]
org.elasticsearch.search.fetch.FetchPhaseExecutionException:
[product-22-03-2014][0]: query[filtered(ToParentBlockJoinQuery
(filtered(history.created:[1392574921000 TO
*])->cache(_type:__history)))->cache(_type:product)],from[0],size[1000],sort[<custom:"history.created":
org.elasticsearch.index.search.nested.NestedFieldComparatorSource@15e4ece9>]:
Fetch Failed [Failed to fetch doc id [7263214]]
at
org.elasticsearch.search.fetch.FetchPhase.loadStoredFields(FetchPhase.java:230)
at
org.elasticsearch.search.fetch.FetchPhase.execute(FetchPhase.java:156)
at
org.elasticsearch.search.SearchService.executeFetchPhase(SearchService.java:332)
at
org.elasticsearch.search.action.SearchServiceTransportAction.sendExecuteFetch(SearchServiceTransportAction.java:304)
at
org.elasticsearch.action.search.type.TransportSearchQueryAndFetchAction$AsyncAction.sendExecuteFirstPhase(TransportSearchQueryAndFetchAction.java:71)
at
org.elasticsearch.action.search.type.TransportSearchTypeAction$BaseAsyncAction.performFirstPhase(TransportSearchTypeAction.java:216)
at
org.elasticsearch.action.search.type.TransportSearchTypeAction$BaseAsyncAction$4.run(TransportSearchTypeAction.java:292)
at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown
Source)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown
Source)
at java.lang.Thread.run(Unknown Source)
Caused by: java.io.EOFException: seek past EOF:
MMapIndexInput(path="/opt/elasticsearch/main/nodes/0/indices/product-22-03-2014/0/index/_9lz.fdt")
at
org.apache.lucene.store.ByteBufferIndexInput.seek(ByteBufferIndexInput.java:174)
at
org.apache.lucene.codecs.compressing.CompressingStoredFieldsReader.visitDocument(CompressingStoredFieldsReader.java:229)
at
org.apache.lucene.index.SegmentReader.document(SegmentReader.java:276)
at
org.apache.lucene.index.BaseCompositeReader.document(BaseCompositeReader.java:110)
at
org.apache.lucene.search.IndexSearcher.doc(IndexSearcher.java:196)
at
org.elasticsearch.search.fetch.FetchPhase.loadStoredFields(FetchPhase.java:228)
... 9 more
[2014-03-22 16:56:04,944][DEBUG][action.search.type ] [es-00] All
shards failed for phase: [query_fetch]

According to our logs, this might happen when one or two nodes get
restarted. More strangely, same shard got corrupted on all nodes of
cluster. Why could this happen? How can we fix it? Can you suggest us how
to fix memory usage?

--
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hey,

is it possible to look at this index / shard? do you still have it / can
you safe it for further investigations? You can ping me directly at simon
AT elasticsearch DOT com

On Wednesday, April 2, 2014 11:23:38 AM UTC+2, Paweł Chabierski wrote:

Few days ago we found we've got that same error when we search for data.

reason: "FetchPhaseExecutionException[[site_production][1]:
query[ConstantScore(cache(_type:ademail))],from[0],size[648]: Fetch Failed
[Failed to fetch doc id [9615533]]]; nested: EOFException[seek past EOF:
MMapIndexInput(path="/opt/elasticsearch/data/naprawa/nodes/0/indices/site_production/1/index/_573oa.fdt")];

After this error, elasticsearch stop search and don't return all results,
even if they are returned properly in other query. Is there any way to fix
this index? We try checkIndex from Luccene core library, after that we lost
~20 milions of documents but error still occurs. Also we try to restore
index from snapshot, but error still occurs :/.

W dniu sobota, 22 marca 2014 14:04:56 UTC+1 użytkownik Andrey Perminov
napisał:

We are using a small elasticsearch cluster of three nodes, version 1.0.1.
Each node has 7 GB RAM. Our software creates daily indexes for storing it's
data. Daily index is something around 5 GB. Unfortunately, for a reason,
Elasticsearch eats up all RAM and hangs the node, even though heap size is
set to 6 GB max. So we decided to use monit to restart it on reaching
memory limit of 90%. It works, but sometimes we got such errors:

[2014-03-22 16:56:04,943][DEBUG][action.search.type ] [es-00]
[product-22-03-2014][0], node[jbUDVzuvS5GTM7iOG8iwzQ], [P], s[STARTED]:
Failed to execute [org.elasticsearch.action.search.SearchRequest@687dc039]
org.elasticsearch.search.fetch.FetchPhaseExecutionException:
[product-22-03-2014][0]: query[filtered(ToParentBlockJoinQuery
(filtered(history.created:[1392574921000 TO
*])->cache(_type:__history)))->cache(_type:product)],from[0],size[1000],sort[<custom:"history.created":
org.elasticsearch.index.search.nested.NestedFieldComparatorSource@15e4ece9>]:
Fetch Failed [Failed to fetch doc id [7263214]]
at
org.elasticsearch.search.fetch.FetchPhase.loadStoredFields(FetchPhase.java:230)
at
org.elasticsearch.search.fetch.FetchPhase.execute(FetchPhase.java:156)
at
org.elasticsearch.search.SearchService.executeFetchPhase(SearchService.java:332)
at
org.elasticsearch.search.action.SearchServiceTransportAction.sendExecuteFetch(SearchServiceTransportAction.java:304)
at
org.elasticsearch.action.search.type.TransportSearchQueryAndFetchAction$AsyncAction.sendExecuteFirstPhase(TransportSearchQueryAndFetchAction.java:71)
at
org.elasticsearch.action.search.type.TransportSearchTypeAction$BaseAsyncAction.performFirstPhase(TransportSearchTypeAction.java:216)
at
org.elasticsearch.action.search.type.TransportSearchTypeAction$BaseAsyncAction$4.run(TransportSearchTypeAction.java:292)
at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown
Source)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown
Source)
at java.lang.Thread.run(Unknown Source)
Caused by: java.io.EOFException: seek past EOF:
MMapIndexInput(path="/opt/elasticsearch/main/nodes/0/indices/product-22-03-2014/0/index/_9lz.fdt")
at
org.apache.lucene.store.ByteBufferIndexInput.seek(ByteBufferIndexInput.java:174)
at
org.apache.lucene.codecs.compressing.CompressingStoredFieldsReader.visitDocument(CompressingStoredFieldsReader.java:229)
at
org.apache.lucene.index.SegmentReader.document(SegmentReader.java:276)
at
org.apache.lucene.index.BaseCompositeReader.document(BaseCompositeReader.java:110)
at
org.apache.lucene.search.IndexSearcher.doc(IndexSearcher.java:196)
at
org.elasticsearch.search.fetch.FetchPhase.loadStoredFields(FetchPhase.java:228)
... 9 more
[2014-03-22 16:56:04,944][DEBUG][action.search.type ] [es-00] All
shards failed for phase: [query_fetch]

According to our logs, this might happen when one or two nodes get
restarted. More strangely, same shard got corrupted on all nodes of
cluster. Why could this happen? How can we fix it? Can you suggest us how
to fix memory usage?

--
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Hi Simon,
I think we hit the same problem on our index.
I have one shard which sometimes give me this answer:
"_shards": {
"total": 5,
"successful": 4,
"failed": 1,
"failures": [
{
"index": "products",
"shard": 0,
"status": 500,
"reason": "QueryPhaseExecutionException[[products][0]:
query[filtered(filtered(id:finlandek short_title:finlandek title:finlandek
category_name:finlandek description:finlandek category_name_path:finlandek
brand_name:finlandek)->cache(stats_income7_global:[0 TO
*]))->cache(org.elasticsearch.index.search.nested.NonNestedDocsFilter@3977d235)],from[0],size[10]:
Query Failed [Failed to execute main query]]; nested: EOFException[seek
past EOF:
MMapIndexInput(path="/data/es/elasticsearch-1.3.0-SNAPSHOT/data/elasticsearch/nodes/0/indices/products/0/index/_za6_es090_0.doc")];
"
}
]
},

Is it still under investigation?

Le mercredi 2 avril 2014 14:01:21 UTC+2, simonw a écrit :

hey,

is it possible to look at this index / shard? do you still have it / can
you safe it for further investigations? You can ping me directly at simon
AT elasticsearch DOT com

On Wednesday, April 2, 2014 11:23:38 AM UTC+2, Paweł Chabierski wrote:

Few days ago we found we've got that same error when we search for data.

reason: "FetchPhaseExecutionException[[site_production][1]:
query[ConstantScore(cache(_type:ademail))],from[0],size[648]: Fetch Failed
[Failed to fetch doc id [9615533]]]; nested: EOFException[seek past EOF:
MMapIndexInput(path="/opt/elasticsearch/data/naprawa/nodes/0/indices/site_production/1/index/_573oa.fdt")];

After this error, elasticsearch stop search and don't return all results,
even if they are returned properly in other query. Is there any way to fix
this index? We try checkIndex from Luccene core library, after that we lost
~20 milions of documents but error still occurs. Also we try to restore
index from snapshot, but error still occurs :/.

W dniu sobota, 22 marca 2014 14:04:56 UTC+1 użytkownik Andrey Perminov
napisał:

We are using a small elasticsearch cluster of three nodes, version
1.0.1. Each node has 7 GB RAM. Our software creates daily indexes for
storing it's data. Daily index is something around 5 GB. Unfortunately, for
a reason, Elasticsearch eats up all RAM and hangs the node, even though
heap size is set to 6 GB max. So we decided to use monit to restart it on
reaching memory limit of 90%. It works, but sometimes we got such errors:

[2014-03-22 16:56:04,943][DEBUG][action.search.type ] [es-00]
[product-22-03-2014][0], node[jbUDVzuvS5GTM7iOG8iwzQ], [P], s[STARTED]:
Failed to execute [org.elasticsearch.action.search.SearchRequest@687dc039]
org.elasticsearch.search.fetch.FetchPhaseExecutionException:
[product-22-03-2014][0]: query[filtered(ToParentBlockJoinQuery
(filtered(history.created:[1392574921000 TO
*])->cache(_type:__history)))->cache(_type:product)],from[0],size[1000],sort[<custom:"history.created":
org.elasticsearch.index.search.nested.NestedFieldComparatorSource@15e4ece9>]:
Fetch Failed [Failed to fetch doc id [7263214]]
at
org.elasticsearch.search.fetch.FetchPhase.loadStoredFields(FetchPhase.java:230)
at
org.elasticsearch.search.fetch.FetchPhase.execute(FetchPhase.java:156)
at
org.elasticsearch.search.SearchService.executeFetchPhase(SearchService.java:332)
at
org.elasticsearch.search.action.SearchServiceTransportAction.sendExecuteFetch(SearchServiceTransportAction.java:304)
at
org.elasticsearch.action.search.type.TransportSearchQueryAndFetchAction$AsyncAction.sendExecuteFirstPhase(TransportSearchQueryAndFetchAction.java:71)
at
org.elasticsearch.action.search.type.TransportSearchTypeAction$BaseAsyncAction.performFirstPhase(TransportSearchTypeAction.java:216)
at
org.elasticsearch.action.search.type.TransportSearchTypeAction$BaseAsyncAction$4.run(TransportSearchTypeAction.java:292)
at java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown
Source)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown
Source)
at java.lang.Thread.run(Unknown Source)
Caused by: java.io.EOFException: seek past EOF:
MMapIndexInput(path="/opt/elasticsearch/main/nodes/0/indices/product-22-03-2014/0/index/_9lz.fdt")
at
org.apache.lucene.store.ByteBufferIndexInput.seek(ByteBufferIndexInput.java:174)
at
org.apache.lucene.codecs.compressing.CompressingStoredFieldsReader.visitDocument(CompressingStoredFieldsReader.java:229)
at
org.apache.lucene.index.SegmentReader.document(SegmentReader.java:276)
at
org.apache.lucene.index.BaseCompositeReader.document(BaseCompositeReader.java:110)
at
org.apache.lucene.search.IndexSearcher.doc(IndexSearcher.java:196)
at
org.elasticsearch.search.fetch.FetchPhase.loadStoredFields(FetchPhase.java:228)
... 9 more
[2014-03-22 16:56:04,944][DEBUG][action.search.type ] [es-00] All
shards failed for phase: [query_fetch]

According to our logs, this might happen when one or two nodes get
restarted. More strangely, same shard got corrupted on all nodes of
cluster. Why could this happen? How can we fix it? Can you suggest us how
to fix memory usage?

--
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