I have a three node Ignite 2.6 cluster setup with the following config. node1:49500 node2:49500 node3:49500 And I used this command to start Ignite service on three nodes. ./ignite.sh -J-Xmx32000m -J-Xms32000m -J-XX:+UseG1GC -J-XX:+ScavengeBeforeFullGC -J-XX:+DisableExplicitGC -J-XX:+AlwaysPreTouch -J-XX:+PrintGCDetails -J-XX:+PrintGCTimeStamps -J-XX:+PrintGCDateStamps -J-XX:+PrintAdaptiveSizePolicy -XX:+PrintGCApplicationStoppedTime -XX:+PrintGCApplicationConcurrentTime -J-Xloggc:/spare/ignite/log/ignitegc-$(date +%Y_%m_%d-%H_%M).log config/persistent-config.xml When I'm using Spark dataframe API to ingest data into this cluster, the cluster freezes after some time and no new data can be ingested into Ignite. Both the client(spark executor) and server are showing the "Unable to await partitions release latch within timeout: ServerLatch" exception starts from line 51834 in full log like this [2018-07-25T09:45:42,177][WARN ][exchange-worker-#162][GridDhtPartitionsExchangeFuture] Unable to await partitions release latch within timeout: ServerLatch [permits=2, pendingAcks=[429edc2b-eb14-414f-a978-9bfe35443c8c, 6783732c-9a13-466f-800a-ad4c8d9be3bf], super=Completab leLatch [id=exchange, topVer=AffinityTopologyVersion [topVer=239, minorTopVer=0]]] Here's the full log on server node having the exception. 07-25.zip -- Sent from: http://apache-ignite-users.70518.x6.nabble.com/