java.lang.NullPointerException
at net.oauth.jsontoken.crypto.AsciiStringVerifier.verifySignature(AsciiS
ringVerifier.java:47)
at net.oauth.jsontoken.JsonTokenParser.signatureIsValid(JsonTokenParser.
ava:177)
at net.oauth.jsontoken.JsonTokenParser.verify(JsonTokenParser.java:130)
at net.oauth.jsontoken.JsonTokenParser.verify(JsonTokenParser.java:103)
at net.oauth.jsontoken.JsonTokenParser.verifyAndDeserialize(JsonTokenPar
er.java:116)
at com.google.identitytoolkit.JsonTokenHelper.verifyAndDeserialize(JsonT
kenHelper.java:54)
at com.google.identitytoolkit.GitkitClient.validateTokenToJson(GitkitCli
nt.java:170)
at com.google.identitytoolkit.GitkitClient.validateToken(GitkitClient.ja
a:184)
at com.google.identitytoolkit.GitkitClient.validateTokenInRequest(Gitkit
lient.java:218)
at com.google.gitkit.samples.GitkitExample$LoginServlet.doGet(GitkitExam
le.java:76)
I have followed the java quick start wiki page and created the client,service account and API key. When I try to access http://localhost:4567/ it errors out with the NPE.
Any suggestions ?
thanks
Related
I am new to GCP, and am trying to teach myself by deploying a simple R script in a Docker container that connects to BigQuery and writes the system time. I am following along with this great tutorial: https://arbenkqiku.github.io/create-docker-image-with-r-and-deploy-as-cron-job-on-google-cloud
So far, I have:
1.- Made the R script
library(bigrquery)
library(tidyverse)
bq_auth("/home/rstudio/xxxx-xxxx.json", email="xxxx#xxxx.com")
project = "xxxx-project"
dataset = "xxxx-dataset"
table = "xxxx-table"
job = insert_upload_job(project=project, data=dataset, table=table, write_disposition="WRITE_APPEND",
values=Sys.time() %>% as_tibble(), billing=project)
2.- Made the Dockerfile
FROM rocker/tidyverse:latest
RUN R -e "install.packages('bigrquery', repos='http://cran.us.r-project.org')"
ADD xxxx-xxxx.json /home/rstudio
ADD big-query-tutorial_forQuestion.R /home/rstudio
EXPOSE 8080
CMD ["Rscript", "/home/rstudio/big-query-tutorial.R", "--host", "0.0.0.0"]
3.- Successfully run the container locally on my machine, with the system time being written to BigQuery
4.- Pushed the container to my container registry in Google Cloud
When I try to deploy the container to Cloud Run (fully managed) using the Google Cloud Console I get this error:
"Cloud Run error: Container failed to start. Failed to start and then listen on the port defined by the PORT environment variable. Logs for this revision might contain more information. Logs URL:https://console.cloud.google.com/logs/xxxxxx"
When I review the log, I find these noteworthy entries:
1.- A warning that says "Container called exit(0)"
2.- Two bugs that say "Container Sandbox: Unsupported syscall setsockopt(0x8,0x0,0xb,0x3e78729eedc4,0x4,0x8). It is very likely that you can safely ignore this message and that this is not the cause of any error you might be troubleshooting. Please, refer to https://gvisor.dev/c/linux/amd64/setsockopt for more information."
When I check BigQuery, I find that the system time was written to the table, even though the container failed to deploy.
When I use the port specified in the tutorial (8787) Cloud Run throws an error about an "Invalid ENTRYPOINT".
What does this error mean? How can it be fixed? I'd greatly appreciate input as I'm totally stuck!
Thank you!
H.
The comment of John is the right source of the errors: You need to expose a webserver which listen on the $PORT and answer to HTTP/1 HTTP/2 protocols.
However, I have a solution. You can use Cloud Build for this. Simply define your step with your container name and the args if needed
Let me know if you need more guidance on this (strange) workaround.
Log information "Container Sandbox: Unsupported syscall setsockopt" from Google Cloud Run is documented as an issue for gVisor.
I had a corda 3.3 test installation and recently updated it to version 4.1 and after that when I run my nodes with deployNodes script and runnodes - I always receive the following exception in node's console as soon as it starts. What can this mean? I don't have a clue what this can be caused by.
I tried to build and run the nodes without cordapps and they work, so somehow my cordapps cause this error happen. What other information should I provide to help you figure out this issue?
Exception in thread "main" java.lang.OutOfMemoryError: Java heap space
at java.util.Arrays.copyOf(Arrays.java:3236)
at java.io.ByteArrayOutputStream.toByteArray(ByteArrayOutputStream.java:191)
at kotlin.io.ByteStreamsKt.readBytes(IOStreams.kt:123)
at kotlin.io.ByteStreamsKt.readBytes$default(IOStreams.kt:120)
at net.corda.core.internal.InternalUtils.readFully(InternalUtils.kt:123)
at net.corda.node.internal.cordapp.JarScanningCordappLoader.getJarHash(JarScanningCordappLoader.kt:228)
at net.corda.node.internal.cordapp.JarScanningCordappLoader.toCordapp(JarScanningCordappLoader.kt:153)
at net.corda.node.internal.cordapp.JarScanningCordappLoader.loadCordapps(JarScanningCordappLoader.kt:106)
at net.corda.node.internal.cordapp.JarScanningCordappLoader.access$loadCordapps(JarScanningCordappLoader.kt:44)
at net.corda.node.internal.cordapp.JarScanningCordappLoader$cordapps$2.invoke(JarScanningCordappLoader.kt:56)
at net.corda.node.internal.cordapp.JarScanningCordappLoader$cordapps$2.invoke(JarScanningCordappLoader.kt:44)
at kotlin.SynchronizedLazyImpl.getValue(LazyJVM.kt:74)
at net.corda.node.internal.cordapp.JarScanningCordappLoader.getCordapps(JarScanningCordappLoader.kt)
at net.corda.node.internal.cordapp.CordappLoaderTemplate$cordappSchemas$2.invoke(JarScanningCordappLoader.kt:422)
at net.corda.node.internal.cordapp.CordappLoaderTemplate$cordappSchemas$2.invoke(JarScanningCordappLoader.kt:389)
at kotlin.SynchronizedLazyImpl.getValue(LazyJVM.kt:74)
at net.corda.node.internal.cordapp.CordappLoaderTemplate.getCordappSchemas(JarScanningCordappLoader.kt)
at net.corda.node.internal.AbstractNode.<init>(AbstractNode.kt:153)
at net.corda.node.internal.AbstractNode.<init>(AbstractNode.kt:126)
at net.corda.node.internal.Node.<init>(Node.kt:98)
at net.corda.node.internal.Node.<init>(Node.kt:97)
at net.corda.node.internal.NodeStartup.createNode(NodeStartup.kt:194)
at net.corda.node.internal.NodeStartup$initialiseAndRun$5.invoke(NodeStartup.kt:186)
at net.corda.node.internal.NodeStartup$initialiseAndRun$5.invoke(NodeStartup.kt:137)
at net.corda.node.internal.NodeStartupLogging$DefaultImpls.attempt(NodeStartup.kt:509)
at net.corda.node.internal.NodeStartup.attempt(NodeStartup.kt:137)
at net.corda.node.internal.NodeStartup.initialiseAndRun(NodeStartup.kt:185)
at net.corda.node.internal.NodeStartupCli.runProgram(NodeStartup.kt:128)
at net.corda.cliutils.CordaCliWrapper.call(CordaCliWrapper.kt:190)
at net.corda.node.internal.NodeStartupCli.call(NodeStartup.kt:83)
at net.corda.node.internal.NodeStartupCli.call(NodeStartup.kt:64)
at picocli.CommandLine.execute(CommandLine.java:1056)
Corda's usage of memory has been slowly creeping upwards. It is possible that your machine does not have enough memory to run 3/4+ nodes at the same time after upgrading to 4.
I recommend trying to run a single node with CorDapps installed and see what happens. If it is still happening then, then something else could be going wrong.
Looking at the stacktrace, it is also possible that your CorDapp itself is really, really, really big and it has gone out of memory reading and loading the CorDapp.
I am doing the Pintos project on the side to learn more about operating systems. I had tons of devops trouble at first with it not running well on an 18.04 Ubuntu droplet. I am now running it on the VirtualBox image that UCCS tells students to download for pintos.
I finished project 1 and started to map out my solution to project 2. Following the instructions to create a file I ran
pintos-mkdisk filesys.dsk --filesys-size=2
pintos -- -f -q
but am getting error
Kernel PANIC at ../../threads/vaddr.h:87 in vtop(): assertion
`is_kernel_vaddr (vaddr)' failed.
I then tried running make check (all the tests). They are all failing for the same reason.
Am I missing something? Is there something I need to implement to fix this? I reread the instructions and didnt see anything?
Would appreciate help!
Thanks
I had a similar problem. My code for Project 1 ran fine, but I could not format the filesystem for Project 2.
The failure for me came from the following call chain:
thread_init() -> ... -> thread_schedule_tail() -> process_activate() -> pagedir_activate() -> vtop()
The problem is that init_page_dir is still NULL when pagedir_activate() is called. init_page_dir should have been initialized in paging_init() but this is called after thread_init().
The root cause was that my scheduler was being called too early, i.e. before the call to thread_start(). The reason for my problem was that I had built in a call to thread_yield() upon completion of every call to lock_release() which makes sense from a priority donation standpoint. Unfortunately, locks are used prior to the scheduler being ready! To fix this, I installed a flag called threading_started that bails in the first line of my thread_block() and thread_yield() functions if thread_start() has not yet been called.
Good luck!
I have installed spark with 2.0 on CDH5.10 By following the link https://www.cloudera.com/documentation/spark2/latest/topics/spark2_installing.html
after all configuration when I hit spark2-submit --version it gives me correct version which is 2.0
however when I submit a spark job . First it says
Exception in thread "main" java.lang.NoClassDefFoundError: org/apache/hadoop/fs/FSDataInputStream
This is clearly indicating that hadoop libs are not in classpath. My question is it something wrong with my installation of spark 2. ? also once we add jars with sparkExtralibCLasspath for driver and core then it says SPARK_HADOOP_CONF Is not set.
How can I verify my installation is correct ?
I am also trying to understand where are my spark2 conf dirs
I saw few previous question on stackoverflow like https://community.cloudera.com/t5/Cloudera-Manager-Installation/CHD-5-7-spark-shell-java-lang-ClassNotFoundException-org-apache/td-p/42209 and NoClassDefFoundError com.apache.hadoop.fs.FSDataInputStream when execute spark-shell but this doesnt help
I am using spark2-shell and spark2-submit command
some more investigation with https://community.cloudera.com/t5/Cloudera-Manager-Installation/CDH-5-5-pyspark-java-lang-NoClassDefFoundError-org-apache-hadoop/td-p/34424 shows might be If I can correctly set SPARK_EXTRA_LIB_PATH for spark2 then I can fix this issue. can somebody guide me please. Thanks
Please explain why I am not able to start JBoss server if I am adding any EAR file. While starting I am getting an error like this:
Deployment
"vfs:///D:/Servers/jboss-6.0.0.Final/server/all/deploy/hsqldb-ds.xml"
is in error due to the following reason(s): java.sql.SQLException: Out
of Memory
Please help me.
Thanks in advance.
Finally I was able to find out the issue. The localDB.backup, localDB.data, localDB.lck, localDB.log,localDB.properties and localDB.script file will be saved in jboss6/server/all/data/hypersonic data. So delete all those files and restart the server. It will be perfect. The reason is that whenever we try to start the server it ll check this folder and try to load the previous deployed info from this backup files. So if any incomplete deployment will corrupt these files.