Develop Reference

Readiness and liveness failed with smallrye metrics in kubernetes

I'm deploying a pod written in quarkus in kubernetes and the startup seems to go fine. But there's a problem with readiness and liveness that result unhealthy.
For metrics I'm using smallrye metrics configured on port 8080 and on path:
quarkus.smallrye-metrics.path=/metrics
If i enter in the pod and i execute
curl localhost:8080/metrics
the response is
# HELP base_classloader_loadedClasses_count Displays the number of classes that are currently loaded in the Java virtual machine.
# TYPE base_classloader_loadedClasses_count gauge
base_classloader_loadedClasses_count 7399.0
# HELP base_classloader_loadedClasses_total Displays the total number of classes that have been loaded since the Java virtual machine has started execution.
# TYPE base_classloader_loadedClasses_total counter
base_classloader_loadedClasses_total 7403.0
# HELP base_classloader_unloadedClasses_total Displays the total number of classes unloaded since the Java virtual machine has started execution.
# TYPE base_classloader_unloadedClasses_total counter
base_classloader_unloadedClasses_total 4.0
# HELP base_cpu_availableProcessors Displays the number of processors available to the Java virtual machine. This value may change during a particular invocation of the virtual machine.
# TYPE base_cpu_availableProcessors gauge
base_cpu_availableProcessors 1.0
# HELP base_cpu_processCpuLoad_percent Displays the "recent cpu usage" for the Java Virtual Machine process. This value is a double in the [0.0,1.0] interval. A value of 0.0 means that none of the CPUs were running threads from the JVM process during the recent period of time observed, while a value of 1.0 means that all CPUs were actively running threads from the JVM 100% of the time during the recent period being observed. Threads from the JVM include the application threads as well as the JVM internal threads. All values between 0.0 and 1.0 are possible depending of the activities going on in the JVM process and the whole system. If the Java Virtual Machine recent CPU usage is not available, the method returns a negative value.
# TYPE base_cpu_processCpuLoad_percent gauge
base_cpu_processCpuLoad_percent 2.3218608761411404E-7
# HELP base_cpu_systemLoadAverage Displays the system load average for the last minute. The system load average is the sum of the number of runnable entities queued to the available processors and the number of runnable entities running on the available processors averaged over a period of time. The way in which the load average is calculated is operating system specific but is typically a damped time-dependent average. If the load average is not available, a negative value is displayed. This attribute is designed to provide a hint about the system load and may be queried frequently. The load average may be unavailable on some platforms where it is expensive to implement this method.
# TYPE base_cpu_systemLoadAverage gauge
base_cpu_systemLoadAverage 0.15
# HELP base_gc_time_total Displays the approximate accumulated collection elapsed time in milliseconds. This attribute displays -1 if the collection elapsed time is undefined for this collector. The Java virtual machine implementation may use a high resolution timer to measure the elapsed time. This attribute may display the same value even if the collection count has been incremented if the collection elapsed time is very short.
# TYPE base_gc_time_total counter
base_gc_time_total_seconds{name="Copy"} 0.032
base_gc_time_total_seconds{name="MarkSweepCompact"} 0.071
# HELP base_gc_total Displays the total number of collections that have occurred. This attribute lists -1 if the collection count is undefined for this collector.
# TYPE base_gc_total counter
base_gc_total{name="Copy"} 4.0
base_gc_total{name="MarkSweepCompact"} 2.0
# HELP base_jvm_uptime_seconds Displays the time from the start of the Java virtual machine in milliseconds.
# TYPE base_jvm_uptime_seconds gauge
base_jvm_uptime_seconds 624.763
# HELP base_memory_committedHeap_bytes Displays the amount of memory in bytes that is committed for the Java virtual machine to use. This amount of memory is guaranteed for the Java virtual machine to use.
# TYPE base_memory_committedHeap_bytes gauge
base_memory_committedHeap_bytes 8.5262336E7
# HELP base_memory_maxHeap_bytes Displays the maximum amount of heap memory in bytes that can be used for memory management. This attribute displays -1 if the maximum heap memory size is undefined. This amount of memory is not guaranteed to be available for memory management if it is greater than the amount of committed memory. The Java virtual machine may fail to allocate memory even if the amount of used memory does not exceed this maximum size.
# TYPE base_memory_maxHeap_bytes gauge
base_memory_maxHeap_bytes 1.348141056E9
# HELP base_memory_usedHeap_bytes Displays the amount of used heap memory in bytes.
# TYPE base_memory_usedHeap_bytes gauge
base_memory_usedHeap_bytes 1.2666888E7
# HELP base_thread_count Displays the current number of live threads including both daemon and non-daemon threads
# TYPE base_thread_count gauge
base_thread_count 11.0
# HELP base_thread_daemon_count Displays the current number of live daemon threads.
# TYPE base_thread_daemon_count gauge
base_thread_daemon_count 7.0
# HELP base_thread_max_count Displays the peak live thread count since the Java virtual machine started or peak was reset. This includes daemon and non-daemon threads.
# TYPE base_thread_max_count gauge
base_thread_max_count 11.0
# HELP vendor_cpu_processCpuTime_seconds Displays the CPU time used by the process on which the Java virtual machine is running in nanoseconds. The returned value is of nanoseconds precision but not necessarily nanoseconds accuracy. This method returns -1 if the the platform does not support this operation.
# TYPE vendor_cpu_processCpuTime_seconds gauge
vendor_cpu_processCpuTime_seconds 4.36
# HELP vendor_cpu_systemCpuLoad_percent Displays the "recent cpu usage" for the whole system. This value is a double in the [0.0,1.0] interval. A value of 0.0 means that all CPUs were idle during the recent period of time observed, while a value of 1.0 means that all CPUs were actively running 100% of the time during the recent period being observed. All values betweens 0.0 and 1.0 are possible depending of the activities going on in the system. If the system recent cpu usage is not available, the method returns a negative value.
# TYPE vendor_cpu_systemCpuLoad_percent gauge
vendor_cpu_systemCpuLoad_percent 2.3565253563367224E-7
# HELP vendor_memory_committedNonHeap_bytes Displays the amount of non heap memory in bytes that is committed for the Java virtual machine to use.
# TYPE vendor_memory_committedNonHeap_bytes gauge
vendor_memory_committedNonHeap_bytes 5.1757056E7
# HELP vendor_memory_freePhysicalSize_bytes Displays the amount of free physical memory in bytes.
# TYPE vendor_memory_freePhysicalSize_bytes gauge
vendor_memory_freePhysicalSize_bytes 5.44448512E9
# HELP vendor_memory_freeSwapSize_bytes Displays the amount of free swap space in bytes.
# TYPE vendor_memory_freeSwapSize_bytes gauge
vendor_memory_freeSwapSize_bytes 0.0
# HELP vendor_memory_maxNonHeap_bytes Displays the maximum amount of used non-heap memory in bytes.
# TYPE vendor_memory_maxNonHeap_bytes gauge
vendor_memory_maxNonHeap_bytes -1.0
# HELP vendor_memory_usedNonHeap_bytes Displays the amount of used non-heap memory in bytes.
# TYPE vendor_memory_usedNonHeap_bytes gauge
vendor_memory_usedNonHeap_bytes 4.7445384E7
# HELP vendor_memoryPool_usage_bytes Current usage of the memory pool denoted by the 'name' tag
# TYPE vendor_memoryPool_usage_bytes gauge
vendor_memoryPool_usage_bytes{name="CodeHeap 'non-nmethods'"} 1357184.0
vendor_memoryPool_usage_bytes{name="CodeHeap 'non-profiled nmethods'"} 976128.0
vendor_memoryPool_usage_bytes{name="CodeHeap 'profiled nmethods'"} 4787200.0
vendor_memoryPool_usage_bytes{name="Compressed Class Space"} 4562592.0
vendor_memoryPool_usage_bytes{name="Eden Space"} 0.0
vendor_memoryPool_usage_bytes{name="Metaspace"} 3.5767632E7
vendor_memoryPool_usage_bytes{name="Survivor Space"} 0.0
vendor_memoryPool_usage_bytes{name="Tenured Gen"} 9872160.0
# HELP vendor_memoryPool_usage_max_bytes Peak usage of the memory pool denoted by the 'name' tag
# TYPE vendor_memoryPool_usage_max_bytes gauge
vendor_memoryPool_usage_max_bytes{name="CodeHeap 'non-nmethods'"} 1369600.0
vendor_memoryPool_usage_max_bytes{name="CodeHeap 'non-profiled nmethods'"} 976128.0
vendor_memoryPool_usage_max_bytes{name="CodeHeap 'profiled nmethods'"} 4793088.0
vendor_memoryPool_usage_max_bytes{name="Compressed Class Space"} 4562592.0
vendor_memoryPool_usage_max_bytes{name="Eden Space"} 2.3658496E7
vendor_memoryPool_usage_max_bytes{name="Metaspace"} 3.5769312E7
vendor_memoryPool_usage_max_bytes{name="Survivor Space"} 2883584.0
vendor_memoryPool_usage_max_bytes{name="Tenured Gen"} 9872160.0
So it seems metrics are working fine, but kubernetes returns this error:
Warning Unhealthy 24m (x9 over 28m) kubelet Liveness probe errored: strconv.Atoi: parsing "metrics": invalid syntax
Warning Unhealthy 4m2s (x70 over 28m) kubelet Readiness probe errored: strconv.Atoi: parsing "metrics": invalid syntax
Any help?
Thanks

First I needed to fix dockerfile.jvm
FROM openjdk:11
ENV LANG='en_US.UTF-8' LANGUAGE='en_US:en'
# We make four distinct layers so if there are application changes the library layers can be re-used
# RUN ls -la target
COPY --chown=185 target/quarkus-app/lib/ /deployments/lib/
COPY --chown=185 target/quarkus-app/*.jar /deployments/
COPY --chown=185 target/quarkus-app/app/ /deployments/app/
COPY --chown=185 target/quarkus-app/quarkus/ /deployments/quarkus/
RUN java -version
EXPOSE 8080
USER root
ENV AB_JOLOKIA_OFF=""
ENV JAVA_OPTS="-Dquarkus.http.host=0.0.0.0 -Djava.util.logging.manager=org.jboss.logmanager.LogManager"
ENV JAVA_DEBUG="true"
ENV JAVA_APP_JAR="/deployments/quarkus-run.jar"
CMD java ${JAVA_OPTS} -jar ${JAVA_APP_JAR}
this way jar started working. without that CMD openjdk image is just starting jshell. After that I saw the log below
The last packet sent successfully to the server was 0 milliseconds ago. The driver has not received any packets from the server.
2022-09-21 19:56:00,450 INFO [io.sma.health] (executor-thread-1) SRHCK01001: Reporting health down status: {"status":"DOWN","checks":[{"name":"Database connections health check","status":"DOWN","data":{"<default>":"Unable to execute the validation check for the default DataSource: Communications link failure\n\nThe last packet sent successfully to the server was 0 milliseconds ago. The driver has not received any packets from the server."}}]}
DB connection in kubernetes is not working.
deploy command: mvn clean package -DskipTests -Dquarkus.kubernetes.deploy=true
"minikube dashboard" looks like below
used the endpoints below
quarkus.smallrye-health.root-path=/health
quarkus.smallrye-health.liveness-path=/health/live
quarkus.smallrye-metrics.path=/metrics
and liveness url looks like below in the firefox
I needed to change some dependencies in pom because I use minikube in my local and needed to delete some java code because of db connection problems, you can find working example at https://github.com/ozkanpakdil/quarkus-examples/tree/master/liveness-readiness-kubernetes
you can see the definition yaml of the deployment below.
mintozzy#mintozzy-MACH-WX9:~$ kubectl get deployments.apps app-version-checker -o yaml
apiVersion: apps/v1
kind: Deployment
metadata:
annotations:
app.quarkus.io/build-timestamp: 2022-09-21 - 20:29:23 +0000
app.quarkus.io/commit-id: 7d709651868d810cd9a906609c8edad3f9d796c0
deployment.kubernetes.io/revision: "3"
prometheus.io/path: /metrics
prometheus.io/port: "8080"
prometheus.io/scheme: http
prometheus.io/scrape: "true"
creationTimestamp: "2022-09-21T20:13:21Z"
generation: 3
labels:
app.kubernetes.io/name: app-version-checker
app.kubernetes.io/version: 1.0.0-SNAPSHOT
name: app-version-checker
namespace: default
resourceVersion: "117584"
uid: 758d420b-ed22-48f8-9d6f-150422a6b38e
spec:
progressDeadlineSeconds: 600
replicas: 1
revisionHistoryLimit: 10
selector:
matchLabels:
app.kubernetes.io/name: app-version-checker
app.kubernetes.io/version: 1.0.0-SNAPSHOT
strategy:
rollingUpdate:
maxSurge: 25%
maxUnavailable: 25%
type: RollingUpdate
template:
metadata:
annotations:
app.quarkus.io/build-timestamp: 2022-09-21 - 20:29:23 +0000
app.quarkus.io/commit-id: 7d709651868d810cd9a906609c8edad3f9d796c0
prometheus.io/path: /metrics
prometheus.io/port: "8080"
prometheus.io/scheme: http
prometheus.io/scrape: "true"
creationTimestamp: null
labels:
app.kubernetes.io/name: app-version-checker
app.kubernetes.io/version: 1.0.0-SNAPSHOT
spec:
containers:
- env:
- name: KUBERNETES_NAMESPACE
valueFrom:
fieldRef:
apiVersion: v1
fieldPath: metadata.namespace
image: mintozzy/app-version-checker:1.0.0-SNAPSHOT
imagePullPolicy: IfNotPresent
livenessProbe:
failureThreshold: 3
httpGet:
path: /health/live
port: 8080
scheme: HTTP
periodSeconds: 30
successThreshold: 1
timeoutSeconds: 10
name: app-version-checker
ports:
- containerPort: 8080
name: http
protocol: TCP
readinessProbe:
failureThreshold: 3
httpGet:
path: /health/ready
port: 8080
scheme: HTTP
periodSeconds: 30
successThreshold: 1
timeoutSeconds: 10
resources: {}
terminationMessagePath: /dev/termination-log
terminationMessagePolicy: File
dnsPolicy: ClusterFirst
restartPolicy: Always
schedulerName: default-scheduler
securityContext: {}
terminationGracePeriodSeconds: 30
status:
availableReplicas: 1
conditions:
- lastTransitionTime: "2022-09-21T20:13:21Z"
lastUpdateTime: "2022-09-21T20:30:03Z"
message: ReplicaSet "app-version-checker-5cb974f465" has successfully progressed.
reason: NewReplicaSetAvailable
status: "True"
type: Progressing
- lastTransitionTime: "2022-09-22T16:09:48Z"
lastUpdateTime: "2022-09-22T16:09:48Z"
message: Deployment has minimum availability.
reason: MinimumReplicasAvailable
status: "True"
type: Available
observedGeneration: 3
readyReplicas: 1
replicas: 1
updatedReplicas: 1

Redisson client ; RedisTimeoutException issue

I am using Google cloud managed redis cluster(v5) via redisson(3.12.5)
Following are my SingleServer configurations in yaml file
singleServerConfig:
idleConnectionTimeout: 10000
connectTimeout: 10000
timeout: 3000
retryAttempts: 3
retryInterval: 1500
password: null
subscriptionsPerConnection: 5
clientName: null
address: "redis://127.0.0.1:6379"
subscriptionConnectionMinimumIdleSize: 1
subscriptionConnectionPoolSize: 50
connectionMinimumIdleSize: 40
connectionPoolSize: 250
database: 0
dnsMonitoringInterval: 5000
threads: 0
nettyThreads: 0
codec: !<org.redisson.codec.JsonJacksonCodec> {}
I am getting following exceptions when I increase the load on my application
org.redisson.client.RedisTimeoutException: Unable to acquire connection! Increase connection pool size and/or retryInterval settings Node source: NodeSource
org.redisson.client.RedisTimeoutException: Command still hasn't been written into connection! Increase nettyThreads and/or retryInterval settings. Payload size in bytes: 34. Node source: NodeSource
It seems there is no issue on redis cluster and i think i need to make tweaking in my client side redis connection pooling confs(mentioned above) to make it work.
Please suggest me the changes i need to make in my confs
I am also curious if I should close the Redis connection after making get/set calls. I have tried finding this but found nothing conclusive on how to close Redis connections
One last thing that I want to ask is that is there any mechanism to get Redis connection pool stats(active connection, idle connection etc ) in Redisson
Edit1:
I have tried by changing values following values in 3 different iterations
Iteration 1:
idleConnectionTimeout: 30000
connectTimeout: 30000
timeout: 30000
Iteration 2:
nettyThreads: 0
Iteration 3:
connectionMinimumIdleSize: 100
connectionPoolSize: 750
I have tried these things but nothing has worked for me
Any help is appreciated.
Thanks in advance

Assuming you are getting low memory alerts on your cache JVM.
You may have to analyze the traffic and determine 2 things
Too many parallel cache persists.
Huge chunk of data being persisted.
Both can be determined by the traffic on your server.
For option 1 configuring pool-size would solve you issue, but for option 2 you may have to refactor your code to persist data in smaller chunks.

Try to set nettyThreads = 64 settings

Slow application, frequent JVM hangs with single-CPU setups and Java 12+

We have a client application (with 10+ years of development). Its JDK was upgraded from OpenJDK 11 to OpenJDK 14 recently. On single-CPU (hyper-threading disabled) Windows 10 setups (and inside VirtualBox machines with only one available CPU) the application starts quite slowly compared to Java 11. Furthermore, it uses 100% CPU most of the time. We could also reproduce the issue with setting the processor affinity to only one CPU (c:\windows\system32\cmd.exe /C start /affinity 1 ...).
Some measurement with starting the application and doing a query with minimal manual interaction in my VirtualBox machine:
OpenJDK 11.0.2: 36 seconds
OpenJDK 13.0.2: ~1.5 minutes
OpenJDK 13.0.2 with -XX:-UseBiasedLocking: 46 seconds
OpenJDK 13.0.2 with -XX:-ThreadLocalHandshakes: 40 seconds
OpenJDK 14: 5-6 minutes
OpenJDK 14 with -XX:-UseBiasedLocking: 3-3,5 minutes
OpenJDK 15 EA Build 20: ~4,5 minutes
Only the used JDK (and the mentioned options) has been changed. (-XX:-ThreadLocalHandshakes is not available in Java 14.)
We have tried logging what JDK 14 does with -Xlog:all=debug:file=app.txt:uptime,tid,level,tags:filecount=50.
Counting the log lines for every second seems quite smooth with OpenJDK 11.0.2:
$ cat jdk11-log/app* | grep "^\[" | cut -d. -f 1 | cut -d[ -f 2 | sort | uniq -c | sort -k 2 -n
30710 0
44012 1
55461 2
55974 3
27182 4
41292 5
43796 6
51889 7
54170 8
58850 9
51422 10
44378 11
41405 12
53589 13
41696 14
29526 15
2350 16
50228 17
62623 18
42684 19
45045 20
On the other hand, OpenJDK 14 seems to have interesting quiet periods:
$ cat jdk14-log/app* | grep "^\[" | cut -d. -f 1 | cut -d[ -f 2 | sort | uniq -c | sort -k 2 -n
7726 0
1715 5
10744 6
4341 11
42792 12
45979 13
38783 14
17253 21
34747 22
1025 28
2079 33
2398 39
3016 44
So, what's happening between seconds 1-4, 7-10 and 14-20?
...
[0.350s][7248][debug][class,resolve ] jdk.internal.ref.CleanerFactory$1 java.lang.Thread CleanerFactory.java:45
[0.350s][7248][debug][class,resolve ] jdk.internal.ref.CleanerImpl java.lang.Thread CleanerImpl.java:117
[0.350s][7248][info ][biasedlocking ] Aligned thread 0x000000001727e010 to 0x000000001727e800
[0.350s][7248][info ][os,thread ] Thread started (tid: 2944, attributes: stacksize: default, flags: CREATE_SUSPENDED STACK_SIZE_PARAM_IS)
[0.350s][6884][info ][os,thread ] Thread is alive (tid: 6884).
[0.350s][6884][debug][os,thread ] Thread 6884 stack dimensions: 0x00000000175b0000-0x00000000176b0000 (1024k).
[0.350s][6884][debug][os,thread ] Thread 6884 stack guard pages activated: 0x00000000175b0000-0x00000000175b4000.
[0.350s][7248][debug][thread,smr ] tid=7248: Threads::add: new ThreadsList=0x0000000017254500
[0.350s][7248][debug][thread,smr ] tid=7248: ThreadsSMRSupport::free_list: threads=0x0000000017253d50 is freed.
[0.350s][2944][info ][os,thread ] Thread is alive (tid: 2944).
[0.350s][2944][debug][os,thread ] Thread 2944 stack dimensions: 0x00000000177b0000-0x00000000178b0000 (1024k).
[0.350s][2944][debug][os,thread ] Thread 2944 stack guard pages activated: 0x00000000177b0000-0x00000000177b4000.
[0.351s][2944][debug][class,resolve ] java.lang.Thread java.lang.Runnable Thread.java:832
[0.351s][2944][debug][class,resolve ] jdk.internal.ref.CleanerImpl jdk.internal.misc.InnocuousThread CleanerImpl.java:135
[0.351s][2944][debug][class,resolve ] jdk.internal.ref.CleanerImpl jdk.internal.ref.PhantomCleanable CleanerImpl.java:138
[0.351s][2944][info ][biasedlocking,handshake] JavaThread 0x000000001727e800 handshaking JavaThread 0x000000000286d800 to revoke object 0x00000000c0087f78
[0.351s][2944][debug][vmthread ] Adding VM operation: HandshakeOneThread
[0.351s][6708][debug][vmthread ] Evaluating non-safepoint VM operation: HandshakeOneThread
[0.351s][6708][debug][vmoperation ] begin VM_Operation (0x00000000178af250): HandshakeOneThread, mode: no safepoint, requested by thread 0x000000001727e800
# no log until 5.723s
[5.723s][7248][info ][biasedlocking ] Revoked bias of currently-unlocked object
[5.723s][7248][debug][handshake,task ] Operation: RevokeOneBias for thread 0x000000000286d800, is_vm_thread: false, completed in 94800 ns
[5.723s][7248][debug][class,resolve ] java.util.zip.ZipFile$CleanableResource java.lang.ref.Cleaner ZipFile.java:715
[5.723s][7248][debug][class,resolve ] java.lang.ref.Cleaner jdk.internal.ref.CleanerImpl$PhantomCleanableRef Cleaner.java:220
[5.723s][7248][debug][class,resolve ] java.util.zip.ZipFile$CleanableResource java.util.WeakHashMap ZipFile.java:716
...
The second pause a little bit later:
...
[6.246s][7248][info ][class,load ] java.awt.Graphics source: jrt:/java.desktop
[6.246s][7248][debug][class,load ] klass: 0x0000000100081a00 super: 0x0000000100001080 loader: [loader data: 0x0000000002882bd0 of 'bootstrap'] bytes: 5625 checksum: 0025818f
[6.246s][7248][debug][class,resolve ] java.awt.Graphics java.lang.Object (super)
[6.246s][7248][info ][class,loader,constraints] updating constraint for name java/awt/Graphics, loader 'bootstrap', by setting class object
[6.246s][7248][debug][jit,compilation ] 19 4 java.lang.Object::<init> (1 bytes) made not entrant
[6.246s][7248][debug][vmthread ] Adding VM operation: HandshakeAllThreads
[6.246s][6708][debug][vmthread ] Evaluating non-safepoint VM operation: HandshakeAllThreads
[6.246s][6708][debug][vmoperation ] begin VM_Operation (0x000000000203ddf8): HandshakeAllThreads, mode: no safepoint, requested by thread 0x000000000286d800
[6.246s][6708][debug][handshake,task ] Operation: Deoptimize for thread 0x00000000026b0800, is_vm_thread: true, completed in 1400 ns
[6.246s][6708][debug][handshake,task ] Operation: Deoptimize for thread 0x00000000026bb800, is_vm_thread: true, completed in 700 ns
[6.246s][6708][debug][handshake,task ] Operation: Deoptimize for thread 0x00000000026ef800, is_vm_thread: true, completed in 100 ns
[6.246s][6708][debug][handshake,task ] Operation: Deoptimize for thread 0x00000000026f0800, is_vm_thread: true, completed in 100 ns
[6.246s][6708][debug][handshake,task ] Operation: Deoptimize for thread 0x00000000026f1800, is_vm_thread: true, completed in 100 ns
[6.246s][6708][debug][handshake,task ] Operation: Deoptimize for thread 0x00000000026f4800, is_vm_thread: true, completed in 100 ns
[6.247s][6708][debug][handshake,task ] Operation: Deoptimize for thread 0x0000000002768800, is_vm_thread: true, completed in 100 ns
[6.247s][6708][debug][handshake,task ] Operation: Deoptimize for thread 0x000000000276e000, is_vm_thread: true, completed in 100 ns
[6.247s][6708][debug][handshake,task ] Operation: Deoptimize for thread 0x0000000017268800, is_vm_thread: true, completed in 100 ns
[6.247s][6708][debug][handshake,task ] Operation: Deoptimize for thread 0x000000001727e800, is_vm_thread: true, completed in 800 ns
# no log until 11.783s
[11.783s][6708][debug][handshake,task ] Operation: Deoptimize for thread 0x000000000286d800, is_vm_thread: true, completed in 6300 ns
[11.783s][6708][info ][handshake ] Handshake "Deoptimize", Targeted threads: 11, Executed by targeted threads: 0, Total completion time: 5536442500 ns
[11.783s][6708][debug][vmoperation ] end VM_Operation (0x000000000203ddf8): HandshakeAllThreads, mode: no safepoint, requested by thread 0x000000000286d800
[11.783s][7248][debug][protectiondomain ] Checking package access
[11.783s][7248][debug][protectiondomain ] class loader: a 'jdk/internal/loader/ClassLoaders$AppClassLoader'{0x00000000c0058628} protection domain: a 'java/security/ProtectionDomain'{0x00000000c058b948} loading: 'java/awt/Graphics'
[11.783s][7248][debug][protectiondomain ] granted
[11.783s][7248][debug][class,resolve ] sun.launcher.LauncherHelper java.awt.Graphics LauncherHelper.java:816 (reflection)
[11.783s][7248][debug][class,resolve ] jdk.internal.reflect.Reflection [Ljava.lang.reflect.Method; Reflection.java:300
[11.783s][7248][debug][class,preorder ] java.lang.PublicMethods$MethodList source: C:\Users\example\AppData\Local\example\stable\jdk\lib\modules
...
Then the third one:
...
[14.578s][7248][debug][class,preorder ] java.lang.InheritableThreadLocal source: C:\Users\example\AppData\Local\example\stable\jdk\lib\modules
[14.578s][7248][info ][class,load ] java.lang.InheritableThreadLocal source: jrt:/java.base
[14.578s][7248][debug][class,load ] klass: 0x0000000100124740 super: 0x0000000100021a18 loader: [loader data: 0x0000000002882bd0 of 'bootstrap'] bytes: 1338 checksum: 8013ed55
[14.578s][7248][debug][class,resolve ] java.lang.InheritableThreadLocal java.lang.ThreadLocal (super)
[14.578s][7248][debug][jit,compilation ] 699 3 java.lang.ThreadLocal::get (38 bytes) made not entrant
[14.578s][7248][debug][vmthread ] Adding VM operation: HandshakeAllThreads
[14.578s][6708][debug][vmthread ] Evaluating non-safepoint VM operation: HandshakeAllThreads
[14.578s][6708][debug][vmoperation ] begin VM_Operation (0x000000000203d228): HandshakeAllThreads, mode: no safepoint, requested by thread 0x000000000286d800
[14.578s][6708][debug][handshake,task ] Operation: Deoptimize for thread 0x00000000026b0800, is_vm_thread: true, completed in 1600 ns
[14.578s][6708][debug][handshake,task ] Operation: Deoptimize for thread 0x00000000026bb800, is_vm_thread: true, completed in 900 ns
[14.578s][6708][debug][handshake,task ] Operation: Deoptimize for thread 0x00000000026ef800, is_vm_thread: true, completed in 100 ns
[14.578s][6708][debug][handshake,task ] Operation: Deoptimize for thread 0x00000000026f0800, is_vm_thread: true, completed in 100 ns
[14.578s][6708][debug][handshake,task ] Operation: Deoptimize for thread 0x00000000026f1800, is_vm_thread: true, completed in 100 ns
[14.578s][6708][debug][handshake,task ] Operation: Deoptimize for thread 0x00000000026f4800, is_vm_thread: true, completed in 0 ns
[14.578s][6708][debug][handshake,task ] Operation: Deoptimize for thread 0x0000000002768800, is_vm_thread: true, completed in 0 ns
[14.578s][6708][debug][handshake,task ] Operation: Deoptimize for thread 0x000000000276e000, is_vm_thread: true, completed in 0 ns
[14.578s][6708][debug][handshake,task ] Operation: Deoptimize for thread 0x0000000017268800, is_vm_thread: true, completed in 0 ns
[14.579s][6708][debug][handshake,task ] Operation: Deoptimize for thread 0x000000001727e800, is_vm_thread: true, completed in 900 ns
# no log until 21.455s
[21.455s][6708][debug][handshake,task ] Operation: Deoptimize for thread 0x000000000286d800, is_vm_thread: true, completed in 12100 ns
[21.455s][6708][info ][handshake ] Handshake "Deoptimize", Targeted threads: 11, Executed by targeted threads: 0, Total completion time: 6876829000 ns
[21.455s][6708][debug][vmoperation ] end VM_Operation (0x000000000203d228): HandshakeAllThreads, mode: no safepoint, requested by thread 0x000000000286d800
[21.455s][7248][debug][class,resolve ] sun.security.jca.Providers java.lang.InheritableThreadLocal Providers.java:39
[21.455s][7248][info ][class,init ] 1251 Initializing 'java/lang/InheritableThreadLocal'(no method) (0x0000000100124740)
[21.455s][7248][debug][class,resolve ] java.lang.InheritableThreadLocal java.lang.ThreadLocal InheritableThreadLocal.java:57
[21.456s][7248][debug][class,preorder ] sun.security.jca.ProviderList source: C:\Users\example\AppData\Local\example\stable\jdk\lib\modules
[21.456s][7248][info ][class,load ] sun.security.jca.ProviderList source: jrt:/java.base
[21.456s][7248][debug][class,load ] klass: 0x00000001001249a8 super: 0x0000000100001080 loader: [loader data: 0x0000000002882bd0 of 'bootstrap'] bytes: 11522 checksum: bdc239d2
[21.456s][7248][debug][class,resolve ] sun.security.jca.ProviderList java.lang.Object (super)
...
The following two lines seems interesting:
[11.783s][6708][info ][handshake ] Handshake "Deoptimize", Targeted threads: 11, Executed by targeted threads: 0, Total completion time: 5536442500 ns
[21.455s][6708][info ][handshake ] Handshake "Deoptimize", Targeted threads: 11, Executed by targeted threads: 0, Total completion time: 6876829000 ns
Is that normal that these handshakes took 5.5 and 6.8 seconds?
I have experienced the same slowdown (and similar logs) with the update4j demo app (which is completely unrelated to our application) running with this command:
Z:\swing>\jdk-14\bin\java -Xlog:all=debug:file=app.txt:uptime,tid,level,tags:filecount=50 \
-jar update4j-1.4.5.jar --remote http://docs.update4j.org/demo/setup.xml
What should I look for to make our app faster again on single-CPU Windows 10 setups? Can I fix this by changing something in our application or by adding JVM arguments?
Is that a JDK bug, should I report it?
update 2020-04-25:
As far as I see the log files also contains GC logs. These are the first GC logs:
$ cat app.txt.00 | grep "\[gc"
[0.016s][7248][debug][gc,heap ] Minimum heap 8388608 Initial heap 60817408 Maximum heap 1073741824
[0.017s][7248][info ][gc,heap,coops ] Heap address: 0x00000000c0000000, size: 1024 MB, Compressed Oops mode: 32-bit
[0.018s][7248][info ][gc ] Using Serial
[22.863s][6708][info ][gc,start ] GC(0) Pause Young (Allocation Failure)
[22.863s][6708][debug][gc,heap ] GC(0) Heap before GC invocations=0 (full 0): def new generation total 17856K, used 15936K [0x00000000c0000000, 0x00000000c1350000, 0x00000000d5550000)
...
Unfortunately it does not seem related since it starts after the third pause.
update 2020-04-26:
With OpenJDK 14 the application uses 100% CPU in my (single-CPU) VirtualBox machine (running on a i7-6600U CPU). The virtual machine has 3,5 GB RAM. According to Task Manager 40%+ is free and disk activity is 0% (I guess this means no swapping). Adding another CPU to the virtual machine (and enabling hyper-threading for physical machines) make the application fast enough again. I just wondering, was it an intentional trade-off during JDK development to loss performance on (rare) single-CPU machines to make the JVM faster on multicore/hyper-threading CPUs?

TL;DR: It's an OpenJDK regression filed as JDK-8244340 and has been fixed in JDK 15 Build 24 (2020/5/20).
I did not except that but I could reproduce the issue with a simple hello world:
public class Main {
public static void main(String[] args) {
System.out.println("Hello world");
}
}
I have used these two batch files:
main-1cpu.bat, which limits the java process to only one CPU:
c:\windows\system32\cmd.exe /C start /affinity 1 \
\jdk-14\bin\java \
-Xlog:all=trace:file=app-1cpu.txt:uptime,tid,level,tags:filecount=50 \
Main
main-full.bat, the java process can use both CPUs:
c:\windows\system32\cmd.exe /C start /affinity FF \
\jdk-14\bin\java \
-Xlog:all=trace:file=app-full.txt:uptime,tid,level,tags:filecount=50 \
Main
(The differences are the affinity value and name of the log file. I've wrapped it for easier reading but wrapping with \ probably doesn't work on Windows.)
A few measurements on Windows 10 x64 in VirtualBox (with two CPUs):
PS Z:\main> Measure-Command { .\main-1cpu.bat }
...
TotalSeconds : 7.0203455
...
PS Z:\main> Measure-Command { .\main-full.bat }
...
TotalSeconds : 1.5751352
...
PS Z:\main> Measure-Command { .\main-full.bat }
...
TotalSeconds : 1.5585384
...
PS Z:\main> Measure-Command { .\main-1cpu.bat }
...
TotalSeconds : 23.6482685
...
The produced tracelogs contain similar pauses that you can see in the question.
Running Main without tracelogs is faster but the difference still can be seen between the single-CPU and two-CPU version: ~4-7 seconds vs. ~400 ms.
I've sent this findings to the hotspot-dev#openjdk mail list and devs there confirmed that this is something that the JDK could handle better. You can find supposed fixes in the thread too.
Another thread about the regression on hotspot-runtime-dev#. JIRA issue for the fix: JDK-8244340

From my experience performance problems with JDKs are related mostly to one of the following:
JIT Compilation
VM configuration (heap sizes)
GC algorithm
Changes in the JVM/JDK which break known good running applications
(Oh, and I forgot to mention class loading...)
If you just use the default JVM configuration since OpenJDK11, maybe you should set some of the more prominent options to fixed values, like GC, Heap size, etc.
Maybe some graphical analyse tool could help track your issue down. Like Retrace, AppDynamics or FlightRecorder and the like. These give more overview on the overall state of heap, GC cycles, RAM, threads, CPU load and so on at a given time than log files could provide.
Do I understand correctly that your application writes about 30710 lines to the log within the first second of running (under OpenJDK11)? Why is it "only" writing about 7k lines under OpenJDK14 in the first second? This seems like a huge difference for an application that is just started on different JVMs to me... Are you sure there are not for example high amounts of Exception stacktraces dumped into the log?
The other numbers are even higher sometimes, so maybe the slowdowns are related to exception logging? Or even swapping, if RAM gets low?
Actually I am thinking, if an application does not write anything into the log, this is a sign of smooth running without problems (unless it is frozen entirely in this time). What is happening from seconds 12-22 (in the OpenJDK14 case here) is what would concern me more... the logged lines go through the roof... why?
And afterwards the logging goes down to all time low values of about 1-2k lines... what is the reason for that?? (Well, maybe it is the GC kicking in at second 22 and does a tabula rasa which resolves some things...?)
Another thing may be your statement about "single CPU" machines. Does this imply "single core" also (Idk, maybe your software is tailored on legacy hardware or something)?
And the "single CPU" VMs are running on those machines?
But I assume, I am wrong about these assumptions, since almost all CPUs are multicore nowadays... but I would investigate on a multithreading issue (deadlock) problem maybe.

Since it's using 100% CPU "most of the time", and it takes 10 times longer (!) with Java 14, it means that you're wasting 90% of your CPU in Java 14.
Running out of heap space can do that, as you spend a whole lot of time in GC, but you seem to have ruled that out.
I notice that you're tweaking the biased locking option, and that it makes a significant difference. That tells me that maybe your program does a lot of concurrent work in multiple threads. It's possible that your program has a concurrency bug that shows up in Java 14, but not in Java 10. That could also explain why adding another CPU makes it more than twice as fast.
Concurrency bugs often only show up when you're unlucky, and the trigger could really have been anything, like a change to hashmap organization, etc.
First, if it's feasible, check for any loops that might be busy-waiting instead of sleeping.
Then, run a profiler in sampling mode (jvisualvm will do) and look for methods that are taking a much larger % of total time than they should. Since your performance is off by a factor of 10, any problems in there should really jump out.

This is an interesting issue and it would require indeterminate amount of effort to narrow it down since there are many permutations and combinations that need to be tried out and data collected and collated.
Seems as of there has been no resolution to this for some time. Perhaps this might need to be escalated.
EDIT 2: Since "ThreadLocalHandshakes" is deprecated and we can assume that locking is contended, suggest trying without "UseBiasedLocking" to hopefully speed up this scenario.
However there are some suggestions to collect more data and attempt to isolate the issue.
Allocate more than one core [I see that you have tried it and the issue goes away. Seems to be an issue with a thread/s execution precluding others. See no 7 below)
Allocate more heap (perhaps the demands of v14 is more than that of earlier jdks)
Allocate more memory to the Win 10 VB.
Check the OS system messages (Win 10 in your case)
Run it in an non-virtualized Win 10.
Try a different build of jdk 14
Do a thread dump every (or profile)few intervals of time. Analyze what thread is running exclusively. Perhaps there is a setting for equitable time sharing. Perhaps there is a higher priority thread running. What is that thread and what is it doing? In linux you could stat the lightweight processes (threads) associated with a process and its state in realtime. Something similar on Win 10?
CPU usage? 100% or less? Constrained by CPU or mem? 100% CPU in service threads? Which service thread?
Have you explicitly set a GC algo?
I have personally witnessed issues within versions that have to do with GC, heap resizing, issues with virtualized containers and so on.
There is no easy answer to that, I think, especially since this question has been around for some time. But we can try, all the best and let us know what is the result of some of these isolation steps.
EDIT 1: from the updated question, it seems to be related to a GC or another service thread taking over the single core non-equitably (Thread-Local Handshakes)?

Be careful with logging to slow disks, it will slow down your application:
https://engineering.linkedin.com/blog/2016/02/eliminating-large-jvm-gc-pauses-caused-by-background-io-traffic
But it doesn't seem likely to be the cause of the issue as the CPU is still busy and you don't have to wait for all threads to come to a safe point thanks to thread-local handshake: https://openjdk.java.net/jeps/312
Also not directly related to the problem you have but more generally if you want to try to squeeze more performance out of your hardware for startup time, take a look at AppCDS (class data sharing):
https://blog.codefx.org/java/application-class-data-sharing/

Heroku | Cloud Implementation

I´m trying to put my program in Heroku, i´ve made all the steps, created a git repository, commited all the stuff, but when I try to push to heroku, I always have this output:
**ERROR in Child compilation failed:
undefined
ERROR in budgets, maximum exceeded for /tmp/build_0e8fdf2b85b36f64aa8fc55074a8481a/src/app/app.component.css. Budget 10 kB was exceeded by 129 kB.**
I´ve searched for answers, and did this:
"budgets": {
"type": "any",
"baseline": "400kb",
"maximumError": "25%",
"maximumWarning": "12%"
},
I have tried with mb and kb instead of percentage but nothing worked...
Can somebody help me with this one?
Thanks

Best approach to handle large volume of data returned from DB

One of the application I work on generates reports using large volume of data returned from DB. The application receives the request as a AJAX async request, executes a query based on the input parameters, stores the data in JSON format, generates an excel with the same contents and then returns the JSON result back to the browser to display the records.
At times due to high volume of data the server crashes due to high memory usage and at times the server threads are hung. The exception captured in the logs is mentioned below :
[3/20/14 21:55:07:051 IST] 0000001a ThreadMonitor W WSVR0605W: Thread "WebContainer : 6" (00000038) has been active for 761754 milliseconds and may be hung. There is/are 1 thread(s) in total in the server that may be hung.
at java.net.SocketInputStream.socketRead0(Native Method)
at java.net.SocketInputStream.read(SocketInputStream.java:141)
at com.ibm.db2.jcc.a.ab.b(ab.java:168)
at com.ibm.db2.jcc.a.ab.c(ab.java:222)
at com.ibm.db2.jcc.a.ab.c(ab.java:337)
at com.ibm.db2.jcc.a.ab.v(ab.java:1447)
at com.ibm.db2.jcc.a.db.a(db.java:42)
at com.ibm.db2.jcc.a.r.a(r.java:30)
at com.ibm.db2.jcc.a.sb.g(sb.java:152)
at com.ibm.db2.jcc.b.zc.n(zc.java:1186)
at com.ibm.db2.jcc.b.ad.db(ad.java:1761)
at com.ibm.db2.jcc.b.ad.d(ad.java:2203)
at com.ibm.db2.jcc.b.ad.U(ad.java:489)
at com.ibm.db2.jcc.b.ad.executeQuery(ad.java:472)
at com.ibm.ws.rsadapter.jdbc.WSJdbcPreparedStatement.pmiExecuteQuery(WSJdbcPreparedStatement.java:1102)
at com.ibm.ws.rsadapter.jdbc.WSJdbcPreparedStatement.executeQuery(WSJdbcPreparedStatement.java:723)
at com.abc(ABCDao.java:1250)
at com.abc(ABCFacade.java:159)
at com.abcservlet.doPost(ABCServlet.java:56)
at javax.servlet.http.HttpServlet.service(HttpServlet.java:738)
at javax.servlet.http.HttpServlet.service(HttpServlet.java:831)
Environment details are as follows :
1. Application Server - WebSphere Application Server 7.0.0.29
2. DB Server - DB2
3. JVM Memory - 512MB - 2048 MB
Wanted to know what should be the best approach to handle these kind of scenarios. We use poi to generate the reports and we using "org.apache.poi.xssf.streaming.SXSSFWorkbook" to keep less data on the server. But if the data exceeds 200000 records the server thread gets hung.