Searched on Google with the first line of a JAVA stack trace?

We can recommend more relevant solutions and speed up debugging when you paste your entire stack trace with the exception message. Try a sample exception.

Recommended solutions based on your search

Solutions on the web

via GitHub by organicveggie
, 1 year ago
too much data for sort() with no index. add an index or specify a smaller limit
via Google Groups by Shi Shei, 2 years ago
could not initialize cursor across all shards because : combinatorial limit of $in partitioning of result set exceeded @ offerStoreDE4/ s115:27018,s132:27018,s125:27018
via JIRA by kay.agahd, 1 year ago
could not initialize cursor across all shards because : combinatorial limit of $in partitioning of result set exceeded @ offerStoreDE4/ s115:27018,s132:27018,s125:27018
via Google Groups by algol, 2 years ago
socket exception [CONNECT_ERROR] for shard1/algol-cloudacc:27017
via GitHub by nsanitas
, 2 years ago
not authorized for query on local.system.namespaces
com.mongodb.MongoException: too much data for sort() with no index.  add an index or specify a smaller limit	at com.mongodb.MongoException.parse(MongoException.java:82)	at com.mongodb.DBApiLayer$MyCollection.__find(DBApiLayer.java:310)	at com.mongodb.DBCursor._check(DBCursor.java:360)	at com.mongodb.DBCursor._hasNext(DBCursor.java:490)	at com.mongodb.DBCursor.hasNext(DBCursor.java:515)	at scala.collection.JavaConversions$JIteratorWrapper.hasNext(JavaConversions.scala:574)	at scala.collection.Iterator$class.foreach(Iterator.scala:660)	at scala.collection.JavaConversions$JIteratorWrapper.foreach(JavaConversions.scala:573)	at scala.collection.IterableLike$class.foreach(IterableLike.scala:73)	at scala.collection.JavaConversions$JIterableWrapper.foreach(JavaConversions.scala:587)	at scala.collection.TraversableLike$class.map(TraversableLike.scala:194)	at scala.collection.JavaConversions$JIterableWrapper.map(JavaConversions.scala:587)	at com.netflix.edda.mongo.MongoDatastore.load(MongoDatastore.scala:201)	at com.netflix.edda.Collection.load(Collection.scala:158)	at com.netflix.edda.Collection.initState(Collection.scala:227)	at com.netflix.edda.StateMachine.act(StateMachine.scala:149)	at scala.actors.Reactor$$anonfun$dostart$1.apply(Reactor.scala:222)	at scala.actors.Reactor$$anonfun$dostart$1.apply(Reactor.scala:222)	at scala.actors.ReactorTask.run(ReactorTask.scala:33)	at scala.concurrent.forkjoin.ForkJoinPool$AdaptedRunnable.exec(ForkJoinPool.java:611)	at scala.concurrent.forkjoin.ForkJoinTask.quietlyExec(ForkJoinTask.java:422)	at scala.concurrent.forkjoin.ForkJoinWorkerThread.mainLoop(ForkJoinWorkerThread.java:340)	at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:325)