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  1. Core Server
  2. SERVER-16247

Oplog declines in performance over time under WiredTiger

    Details

    • Backwards Compatibility:
      Fully Compatible
    • Operating System:
      ALL

      Description

      This may be related to SERVER-16235, but filing as a separate ticket since my understanding is that a workaround is in place to prevent SERVER-16235 from impacting the oplog, plus the symptoms here are a bit different, so this may be a separate issue.

      Tested on build from master this afternoon (365cca0c47566d192ca847f0b077cedef4b3430e).

      • Test on single-node replica set repeatedly updates the document in a single-document collection in order to generate a lot of oplog entries while minimizing work to actually perform each op, in order to emphasize oplog performance.
      • Yellow graph below shows declining performance over time (measured in number of updates done). Graph shows same decline starting at first oplog wraparound at about 90 k inserts as seen in SERVER-16235, but then it recovers and begins a cycle of repeated declines and recoveries. But superimposed on this is a longer term downard trend, and that possibly distinguishes this issue from SERVER-16235. Not clear from this data whether the asymptote is >0.
      • Red graph shows that the decline goes away for the same test in a standalone instance, confirming that this is an oplog issue.
      • Blue graph shows that decline is not seen with mmapv1, confirming that this is a WT-specific issue.
      • Restarting mongod (not shown) resets the behavior back to time 0.

          db.c.drop()
          db.c.insert({_id:0, i:0})
       
          var every = 10000
          var bulk = db.c.initializeOrderedBulkOp();
          var t = new Date()
          for (var i=0; i<=count; i++) {
              if (i>0 && i%every==0) {
                  bulk.execute();
                  bulk = db.c.initializeOrderedBulkOp();
                  tt = new Date()
                  print(i, Math.floor(every / (tt-t) * 1000))
                  t = tt
              }
              bulk.find({_id:0}).updateOne({_id:0, i:i})
          }

      1. bytes-currently-in-cache.png
        242 kB
      2. correlation.png
        19 kB
      3. oplog_insert.png
        172 kB
      4. oplog.png
        19 kB
      5. pages-evicted-because-exceed-in-memory-max.png
        213 kB

        Issue Links

          Activity

          Hide
          bruce.lucas Bruce Lucas added a comment -

          Simple gdb profiling shows that when it gets slow it's spending most of its time (9 samples out of 10) here. Details of the top couple of frames vary, but its all in __curfile_next called from cappedDeleteAsNeeded at wiredtiger_record_store.cpp:403. Similar gdb profiling of SERVER-16235 shows that's also where it's spending its time.

          Thread 2 (Thread 0x7fa7915be700 (LWP 4679)):
          #0  __wt_txn_read (upd=0xf89dbe0, session=0x3946f00) at src/third_party/wiredtiger/src/include/txn.i:173
          #1  __cursor_row_next (newpage=<optimized out>, cbt=0x4936500) at src/third_party/wiredtiger/src/btree/bt_curnext.c:279
          #2  __wt_btcur_next (cbt=cbt@entry=0x30e2680, truncating=truncating@entry=0) at src/third_party/wiredtiger/src/btree/bt_curnext.c:439
          #3  0x0000000001331db9 in __curfile_next (cursor=0x30e2680) at src/third_party/wiredtiger/src/cursor/cur_file.c:79
          #4  0x0000000000d7b6fe in mongo::WiredTigerRecordStore::cappedDeleteAsNeeded (this=this@entry=0x393c3c0, txn=txn@entry=0x3927f40, justInserted=...) at src/mongo/db/storage/wiredtiger/wiredtiger_record_store.cpp:403
          #5  0x0000000000d7c18e in mongo::WiredTigerRecordStore::insertRecord (this=0x393c3c0, txn=0x3927f40, data=0x37b6f00 \"r\", len=114, enforceQuota=<optimized out>) at src/mongo/db/storage/wiredtiger/wiredtiger_record_store.cpp:507
          #6  0x0000000000d7a9dd in mongo::WiredTigerRecordStore::insertRecord (this=0x393c3c0, txn=txn@entry=0x3927f40, doc=doc@entry=0x7fa7915bb480, enforceQuota=<optimized out>) at src/mongo/db/storage/wiredtiger/wiredtiger_record_store.cpp:537
          #7  0x00000000009173fc in mongo::Collection::insertDocument (this=0x384a780, txn=txn@entry=0x3927f40, doc=doc@entry=0x7fa7915bb480, enforceQuota=enforceQuota@entry=false) at src/mongo/db/catalog/collection.cpp:178
          #8  0x0000000000c46f14 in mongo::repl::_logOpRS (txn=0x3927f40, opstr=<optimized out>, ns=<optimized out>, logNS=<optimized out>, obj=..., o2=0x7fa7915bb7c0, bb=0x0, fromMigrate=false) at src/mongo/db/repl/oplog.cpp:328
          #9  0x0000000000c45123 in mongo::repl::logOp (txn=0x3927f40, opstr=opstr@entry=0x1565fc5 \"u\", ns=0xdb12918 \"test.c\", obj=..., patt=patt@entry=0x7fa7915bb7c0, b=b@entry=0x0, fromMigrate=false) at src/mongo/db/repl/oplog.cpp:452
          #10 0x0000000000a322d0 in mongo::UpdateStage::transformAndUpdate (this=this@entry=0x491ea00, oldObj=..., loc=...) at src/mongo/db/exec/update.cpp:551
          #11 0x0000000000a32913 in mongo::UpdateStage::work (this=0x491ea00, out=<optimized out>) at src/mongo/db/exec/update.cpp:749
          #12 0x0000000000bd1d9a in mongo::PlanExecutor::getNext (this=this@entry=0x4903810, objOut=objOut@entry=0x7fa7915bb9c0, dlOut=dlOut@entry=0x0) at src/mongo/db/query/plan_executor.cpp:288
          #13 0x0000000000bd2b7d in mongo::PlanExecutor::executePlan (this=0x4903810) at src/mongo/db/query/plan_executor.cpp:400
          #14 0x0000000000b21f91 in mongo::UpdateExecutor::execute (this=this@entry=0x7fa7915bbca0, db=<optimized out>) at src/mongo/db/ops/update_executor.cpp:236
          #15 0x00000000009b5a76 in mongo::multiUpdate (txn=0x3927f40, updateItem=..., result=result@entry=0x7fa7915bbdb0) at src/mongo/db/commands/write_commands/batch_executor.cpp:1276
          #16 0x00000000009b614a in mongo::WriteBatchExecutor::execUpdate (this=this@entry=0x7fa7915bc280, updateItem=..., upsertedId=upsertedId@entry=0x7fa7915bbe40, error=error@entry=0x7fa7915bbe30) at src/mongo/db/commands/write_commands/batch_executor.cpp:893
          #17 0x00000000009b6a72 in mongo::WriteBatchExecutor::bulkExecute (this=this@entry=0x7fa7915bc280, request=..., upsertedIds=upsertedIds@entry=0x7fa7915bc080, errors=errors@entry=0x7fa7915bc060) at src/mongo/db/commands/write_commands/batch_executor.cpp:763
          #18 0x00000000009b6fbd in mongo::WriteBatchExecutor::executeBatch (this=this@entry=0x7fa7915bc280, request=..., response=response@entry=0x7fa7915bc2b0) at src/mongo/db/commands/write_commands/batch_executor.cpp:265
          #19 0x00000000009b8f40 in mongo::WriteCmd::run (this=<optimized out>, txn=0x3927f40, dbName=..., cmdObj=..., options=<optimized out>, errMsg=..., result=..., fromRepl=false) at src/mongo/db/commands/write_commands/write_commands.cpp:144
          #20 0x00000000009d2514 in mongo::_execCommand (txn=txn@entry=0x3927f40, c=c@entry=0x3118e60, dbname=..., cmdObj=..., queryOptions=queryOptions@entry=0, errmsg=..., result=..., fromRepl=fromRepl@entry=false) at src/mongo/db/dbcommands.cpp:1209
          #21 0x00000000009d33e5 in mongo::Command::execCommand (txn=txn@entry=0x3927f40, c=c@entry=0x3118e60, queryOptions=queryOptions@entry=0, cmdns=cmdns@entry=0x4950014 \"test.$cmd\", cmdObj=..., result=..., fromRepl=fromRepl@entry=false) at src/mongo/db/dbcommands.cpp:1423
          #22 0x00000000009d3f10 in mongo::_runCommands (txn=txn@entry=0x3927f40, ns=0x4950014 \"test.$cmd\", _cmdobj=..., b=..., anObjBuilder=..., fromRepl=fromRepl@entry=false, queryOptions=0) at src/mongo/db/dbcommands.cpp:1498
          #23 0x0000000000bbff4e in runCommands (fromRepl=false, queryOptions=<optimized out>, anObjBuilder=..., b=..., curop=..., jsobj=..., ns=<optimized out>, txn=0x3927f40) at src/mongo/db/query/new_find.cpp:131
          #24 mongo::newRunQuery (txn=txn@entry=0x3927f40, m=..., q=..., curop=..., result=..., fromDBDirectClient=fromDBDirectClient@entry=false) at src/mongo/db/query/new_find.cpp:549
          #25 0x0000000000aac773 in receivedQuery (fromDBDirectClient=false, m=..., dbresponse=..., c=..., txn=0x3927f40) at src/mongo/db/instance.cpp:220
          #26 mongo::assembleResponse (txn=txn@entry=0x3927f40, m=..., dbresponse=..., remote=..., fromDBDirectClient=fromDBDirectClient@entry=false) at src/mongo/db/instance.cpp:390
          #27 0x000000000080dec0 in mongo::MyMessageHandler::process (this=<optimized out>, m=..., port=0x4902460, le=0x4902aa0) at src/mongo/db/db.cpp:190
          #28 0x0000000000f0ea31 in mongo::PortMessageServer::handleIncomingMsg (arg=0x30c0980) at src/mongo/util/net/message_server_port.cpp:234
          #29 0x00007fa791199182 in start_thread () from /lib/x86_64-linux-gnu/libpthread.so.0
          #30 0x00007fa790299fbd in clone () from /lib/x86_64-linux-gnu/libc.so.6

          Show
          bruce.lucas Bruce Lucas added a comment - Simple gdb profiling shows that when it gets slow it's spending most of its time (9 samples out of 10) here. Details of the top couple of frames vary, but its all in __curfile_next called from cappedDeleteAsNeeded at wiredtiger_record_store.cpp:403. Similar gdb profiling of SERVER-16235 shows that's also where it's spending its time. Thread 2 (Thread 0x7fa7915be700 (LWP 4679)): #0 __wt_txn_read (upd=0xf89dbe0, session=0x3946f00) at src/third_party/wiredtiger/src/include/txn.i:173 #1 __cursor_row_next (newpage=<optimized out>, cbt=0x4936500) at src/third_party/wiredtiger/src/btree/bt_curnext.c:279 #2 __wt_btcur_next (cbt=cbt@entry=0x30e2680, truncating=truncating@entry=0) at src/third_party/wiredtiger/src/btree/bt_curnext.c:439 #3 0x0000000001331db9 in __curfile_next (cursor=0x30e2680) at src/third_party/wiredtiger/src/cursor/cur_file.c:79 #4 0x0000000000d7b6fe in mongo::WiredTigerRecordStore::cappedDeleteAsNeeded (this=this@entry=0x393c3c0, txn=txn@entry=0x3927f40, justInserted=...) at src/mongo/db/storage/wiredtiger/wiredtiger_record_store.cpp:403 #5 0x0000000000d7c18e in mongo::WiredTigerRecordStore::insertRecord (this=0x393c3c0, txn=0x3927f40, data=0x37b6f00 \"r\", len=114, enforceQuota=<optimized out>) at src/mongo/db/storage/wiredtiger/wiredtiger_record_store.cpp:507 #6 0x0000000000d7a9dd in mongo::WiredTigerRecordStore::insertRecord (this=0x393c3c0, txn=txn@entry=0x3927f40, doc=doc@entry=0x7fa7915bb480, enforceQuota=<optimized out>) at src/mongo/db/storage/wiredtiger/wiredtiger_record_store.cpp:537 #7 0x00000000009173fc in mongo::Collection::insertDocument (this=0x384a780, txn=txn@entry=0x3927f40, doc=doc@entry=0x7fa7915bb480, enforceQuota=enforceQuota@entry=false) at src/mongo/db/catalog/collection.cpp:178 #8 0x0000000000c46f14 in mongo::repl::_logOpRS (txn=0x3927f40, opstr=<optimized out>, ns=<optimized out>, logNS=<optimized out>, obj=..., o2=0x7fa7915bb7c0, bb=0x0, fromMigrate=false) at src/mongo/db/repl/oplog.cpp:328 #9 0x0000000000c45123 in mongo::repl::logOp (txn=0x3927f40, opstr=opstr@entry=0x1565fc5 \"u\", ns=0xdb12918 \"test.c\", obj=..., patt=patt@entry=0x7fa7915bb7c0, b=b@entry=0x0, fromMigrate=false) at src/mongo/db/repl/oplog.cpp:452 #10 0x0000000000a322d0 in mongo::UpdateStage::transformAndUpdate (this=this@entry=0x491ea00, oldObj=..., loc=...) at src/mongo/db/exec/update.cpp:551 #11 0x0000000000a32913 in mongo::UpdateStage::work (this=0x491ea00, out=<optimized out>) at src/mongo/db/exec/update.cpp:749 #12 0x0000000000bd1d9a in mongo::PlanExecutor::getNext (this=this@entry=0x4903810, objOut=objOut@entry=0x7fa7915bb9c0, dlOut=dlOut@entry=0x0) at src/mongo/db/query/plan_executor.cpp:288 #13 0x0000000000bd2b7d in mongo::PlanExecutor::executePlan (this=0x4903810) at src/mongo/db/query/plan_executor.cpp:400 #14 0x0000000000b21f91 in mongo::UpdateExecutor::execute (this=this@entry=0x7fa7915bbca0, db=<optimized out>) at src/mongo/db/ops/update_executor.cpp:236 #15 0x00000000009b5a76 in mongo::multiUpdate (txn=0x3927f40, updateItem=..., result=result@entry=0x7fa7915bbdb0) at src/mongo/db/commands/write_commands/batch_executor.cpp:1276 #16 0x00000000009b614a in mongo::WriteBatchExecutor::execUpdate (this=this@entry=0x7fa7915bc280, updateItem=..., upsertedId=upsertedId@entry=0x7fa7915bbe40, error=error@entry=0x7fa7915bbe30) at src/mongo/db/commands/write_commands/batch_executor.cpp:893 #17 0x00000000009b6a72 in mongo::WriteBatchExecutor::bulkExecute (this=this@entry=0x7fa7915bc280, request=..., upsertedIds=upsertedIds@entry=0x7fa7915bc080, errors=errors@entry=0x7fa7915bc060) at src/mongo/db/commands/write_commands/batch_executor.cpp:763 #18 0x00000000009b6fbd in mongo::WriteBatchExecutor::executeBatch (this=this@entry=0x7fa7915bc280, request=..., response=response@entry=0x7fa7915bc2b0) at src/mongo/db/commands/write_commands/batch_executor.cpp:265 #19 0x00000000009b8f40 in mongo::WriteCmd::run (this=<optimized out>, txn=0x3927f40, dbName=..., cmdObj=..., options=<optimized out>, errMsg=..., result=..., fromRepl=false) at src/mongo/db/commands/write_commands/write_commands.cpp:144 #20 0x00000000009d2514 in mongo::_execCommand (txn=txn@entry=0x3927f40, c=c@entry=0x3118e60, dbname=..., cmdObj=..., queryOptions=queryOptions@entry=0, errmsg=..., result=..., fromRepl=fromRepl@entry=false) at src/mongo/db/dbcommands.cpp:1209 #21 0x00000000009d33e5 in mongo::Command::execCommand (txn=txn@entry=0x3927f40, c=c@entry=0x3118e60, queryOptions=queryOptions@entry=0, cmdns=cmdns@entry=0x4950014 \"test.$cmd\", cmdObj=..., result=..., fromRepl=fromRepl@entry=false) at src/mongo/db/dbcommands.cpp:1423 #22 0x00000000009d3f10 in mongo::_runCommands (txn=txn@entry=0x3927f40, ns=0x4950014 \"test.$cmd\", _cmdobj=..., b=..., anObjBuilder=..., fromRepl=fromRepl@entry=false, queryOptions=0) at src/mongo/db/dbcommands.cpp:1498 #23 0x0000000000bbff4e in runCommands (fromRepl=false, queryOptions=<optimized out>, anObjBuilder=..., b=..., curop=..., jsobj=..., ns=<optimized out>, txn=0x3927f40) at src/mongo/db/query/new_find.cpp:131 #24 mongo::newRunQuery (txn=txn@entry=0x3927f40, m=..., q=..., curop=..., result=..., fromDBDirectClient=fromDBDirectClient@entry=false) at src/mongo/db/query/new_find.cpp:549 #25 0x0000000000aac773 in receivedQuery (fromDBDirectClient=false, m=..., dbresponse=..., c=..., txn=0x3927f40) at src/mongo/db/instance.cpp:220 #26 mongo::assembleResponse (txn=txn@entry=0x3927f40, m=..., dbresponse=..., remote=..., fromDBDirectClient=fromDBDirectClient@entry=false) at src/mongo/db/instance.cpp:390 #27 0x000000000080dec0 in mongo::MyMessageHandler::process (this=<optimized out>, m=..., port=0x4902460, le=0x4902aa0) at src/mongo/db/db.cpp:190 #28 0x0000000000f0ea31 in mongo::PortMessageServer::handleIncomingMsg (arg=0x30c0980) at src/mongo/util/net/message_server_port.cpp:234 #29 0x00007fa791199182 in start_thread () from /lib/x86_64-linux-gnu/libpthread.so.0 #30 0x00007fa790299fbd in clone () from /lib/x86_64-linux-gnu/libc.so.6
          Hide
          eliot Eliot Horowitz added a comment - - edited

          Can you try on rc1?
          I can't repro on HEAD right now at least.
          If you still see it would like to come over and take a look.

          Show
          eliot Eliot Horowitz added a comment - - edited Can you try on rc1? I can't repro on HEAD right now at least. If you still see it would like to come over and take a look.
          Hide
          bruce.lucas Bruce Lucas added a comment -

          Still seeing it with rc1 and also a fresh build from HEAD. Here's my mongod command line:

          mongod --dbpath ./r0 --logpath ./r0.log --logappend --port 27017 --replSet rs --oplogSize 10 --fork --storageEngine=wiredtiger

          Set oplog size to 10 MB to see the issue sooner - it doesn't begin until the oplog first wraps. With those parameters and the script above, the oplog holds about 90k docs. Here's the output I'm seeing from the script above:

          inserts rate
          10000  15337
          20000  15220
          30000  14992
          40000  15600
          50000  15360
          60000  15455
          70000  15037
          80000  15290
          90000  15455   <--- oplog wraps here, decline begins
          100000 14144
          110000 13440
          120000 13368
          130000 12853
          140000 12787
          150000 12531
          160000 12468
          ...
          390000  9389
          400000  9082
          410000  9140
          420000  8952
          430000  8976
          440000 11350  <--- recovers, begins declining again
          450000 13458
          460000 13333
          470000 13157
          480000 12970
          490000 12787
          ...
          850000  8006
          860000  8250
          870000  9082
          880000 11862  <--- another recovery, then decline
          890000 11560
          900000 11600
          910000 11574
          920000 11415
          930000 11261
          940000 11001
          950000 10775
          960000 10917
          970000 10582
          980000 10172
          990000 10070

          I enabled wt stats, and it seems that the performance behavior - the short-term declines and recoveries, and the long-term decline - is inversely correlated with the "cache: bytes currently in the cache" statistic:

          The recoveries and reduction in cache bytes correlate directly with cache evictions due to pages exceeding in-memory max:

          The recoveries don't correlate with checkpoints.

          Show
          bruce.lucas Bruce Lucas added a comment - Still seeing it with rc1 and also a fresh build from HEAD. Here's my mongod command line: mongod --dbpath ./r0 --logpath ./r0.log --logappend --port 27017 --replSet rs --oplogSize 10 --fork --storageEngine=wiredtiger Set oplog size to 10 MB to see the issue sooner - it doesn't begin until the oplog first wraps. With those parameters and the script above, the oplog holds about 90k docs. Here's the output I'm seeing from the script above: inserts rate 10000 15337 20000 15220 30000 14992 40000 15600 50000 15360 60000 15455 70000 15037 80000 15290 90000 15455 <--- oplog wraps here, decline begins 100000 14144 110000 13440 120000 13368 130000 12853 140000 12787 150000 12531 160000 12468 ... 390000 9389 400000 9082 410000 9140 420000 8952 430000 8976 440000 11350 <--- recovers, begins declining again 450000 13458 460000 13333 470000 13157 480000 12970 490000 12787 ... 850000 8006 860000 8250 870000 9082 880000 11862 <--- another recovery, then decline 890000 11560 900000 11600 910000 11574 920000 11415 930000 11261 940000 11001 950000 10775 960000 10917 970000 10582 980000 10172 990000 10070 I enabled wt stats, and it seems that the performance behavior - the short-term declines and recoveries, and the long-term decline - is inversely correlated with the "cache: bytes currently in the cache" statistic: The recoveries and reduction in cache bytes correlate directly with cache evictions due to pages exceeding in-memory max: The recoveries don't correlate with checkpoints.
          Hide
          bruce.lucas Bruce Lucas added a comment -

          Here's ops/s and WT cached bytes together on one graph showing the perfect correlation. I'm not sure why there should be so much cached data, and growing: the oplog size is 10 MB, and the collection is tiny.

          Show
          bruce.lucas Bruce Lucas added a comment - Here's ops/s and WT cached bytes together on one graph showing the perfect correlation. I'm not sure why there should be so much cached data, and growing: the oplog size is 10 MB, and the collection is tiny.
          Hide
          agorrod Alex Gorrod added a comment - - edited

          I believe there are a two issues involved here:

          The general downward trend is similar to that seen in SERVER-16235 - i.e: it is related to deleting records from capped collections. It is slightly different in that the degradation is seen even though this use case goes through the special oplog case in the WiredTigerRecordStore::cappedDeleteAsNeeded implementation.

          The second issue - which causes the peak/trough behavior - is related to flushing pages from memory. In WiredTiger we let updates accumulate in memory until the size of the updates exceed a certain threshold (configured via memory_page_max to wiredTigerCollectionConfig). Once that threshold is reached WiredTiger writes the page to disk (a process WiredTiger calls reconciliation), and starts again with a new page. We are currently designing a change that will mean we don't need to do that write in the application thread. Instead of writing the page to disk immediately we will be able to switch to a new page - which is much faster.

          Show
          agorrod Alex Gorrod added a comment - - edited I believe there are a two issues involved here: The general downward trend is similar to that seen in SERVER-16235 - i.e: it is related to deleting records from capped collections. It is slightly different in that the degradation is seen even though this use case goes through the special oplog case in the WiredTigerRecordStore::cappedDeleteAsNeeded implementation. The second issue - which causes the peak/trough behavior - is related to flushing pages from memory. In WiredTiger we let updates accumulate in memory until the size of the updates exceed a certain threshold (configured via memory_page_max to wiredTigerCollectionConfig). Once that threshold is reached WiredTiger writes the page to disk (a process WiredTiger calls reconciliation), and starts again with a new page. We are currently designing a change that will mean we don't need to do that write in the application thread. Instead of writing the page to disk immediately we will be able to switch to a new page - which is much faster.
          Hide
          xgen-internal-githook Githook User added a comment -

          Author:

          {u'username': u'monkey101', u'name': u'Dan Pasette', u'email': u'dan@10gen.com'}

          Message: SERVER-16247 Change oplog memory_page_max to 10MB
          Branch: master
          https://github.com/mongodb/mongo/commit/5c33c7c5b538bc01094127ba6e9c6531a79886d1

          Show
          xgen-internal-githook Githook User added a comment - Author: {u'username': u'monkey101', u'name': u'Dan Pasette', u'email': u'dan@10gen.com'} Message: SERVER-16247 Change oplog memory_page_max to 10MB Branch: master https://github.com/mongodb/mongo/commit/5c33c7c5b538bc01094127ba6e9c6531a79886d1
          Hide
          xgen-internal-githook Githook User added a comment -

          Author:

          {u'username': u'monkey101', u'name': u'Dan Pasette', u'email': u'dan@10gen.com'}

          Message: SERVER-16247 Change oplog memory_page_max to 10MB
          Branch: master
          https://github.com/mongodb/mongo/commit/5c33c7c5b538bc01094127ba6e9c6531a79886d1

          Show
          xgen-internal-githook Githook User added a comment - Author: {u'username': u'monkey101', u'name': u'Dan Pasette', u'email': u'dan@10gen.com'} Message: SERVER-16247 Change oplog memory_page_max to 10MB Branch: master https://github.com/mongodb/mongo/commit/5c33c7c5b538bc01094127ba6e9c6531a79886d1

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                Updated:
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