googleapis / googleapis/google-cloud-java

[java-spanner-jdbc] Enabling useVirtualGrpcTransportThreads causes a virtual thread pinning issue.

Ouverte
#12,276 0 commentaires 0 réactions 1 personne assignée Réclamée par @olavloite Voir sur GitHub
api: spanner
Langage dominant
Java
Étoiles
2.1k
Forks
1.2k
Merge moyen
1 j 23 h
PR mergées (30 j)
154

Description

Thanks for stopping by to let us know something could be better!

**PLEASE READ**: If you have a support contract with Google, please create an issue in the [support console](https://cloud.google.com/support/) instead of filing on GitHub. This will ensure a timely response.

Please run down the following list and make sure you've tried the usual "quick fixes":

- Search the issues already opened: https://github.com/googleapis/java-spanner-jdbc/issues
- Check for answers on StackOverflow: http://stackoverflow.com/questions/tagged/google-cloud-platform

If you are still having issues, please include as much information as possible:

#### Environment details

1. Specify the API at the beginning of the title. For example, "BigQuery: ...").
General, Core, and Other are also allowed as types
2. OS type and version:
3. Java version: JDK 21
4. version(s): google-cloud-spanner-jdbc : 2.32.0

#### Steps to reproduce

1. useVirtualGrpcTransportThreads.
Example : jdbc:cloudspanner:/projects/nv-local/instances/test-instance/databases/trades?autoConfigEmulator=true;useVirtualThreads=true;numchannels=20;useVirtualGrpcTransportThreads=true
2. ?

#### Code example

```java
// example
```

#### Stack trace
Thread[#67,ForkJoinPool-1-worker-2,5,CarrierThreads]
java.base/java.lang.VirtualThread$VThreadContinuation.onPinned(VirtualThread.java:183)
java.base/jdk.internal.vm.Continuation.onPinned0(Continuation.java:393)
java.base/java.lang.VirtualThread.park(VirtualThread.java:582)
java.base/java.lang.System$2.parkVirtualThread(System.java:2643)
java.base/jdk.internal.misc.VirtualThreads.park(VirtualThreads.java:54)
**java.base/java.util.concurrent.locks.LockSupport.park(LockSupport.java:219)**
**com.google.common.util.concurrent.AbstractFuture.get(AbstractFuture.java:569)**
com.google.cloud.spanner.spi.v1.GapicSpannerRpc.get(GapicSpannerRpc.java:1975)
com.google.cloud.spanner.spi.v1.GapicSpannerRpc.beginTransaction(GapicSpannerRpc.java:1840)
com.google.cloud.spanner.AbstractReadContext$MultiUseReadOnlyTransaction.initTransactionInternal(AbstractReadContext.java:464)
com.google.cloud.spanner.AbstractReadContext$MultiUseReadOnlyTransaction.initTransaction(AbstractReadContext.java:455) <== monitors:1
com.google.cloud.spanner.AbstractReadContext$MultiUseReadOnlyTransaction.beforeReadOrQuery(AbstractReadContext.java:379)
com.google.cloud.spanner.AbstractReadContext.executeQueryInternalWithOptions(AbstractReadContext.java:799)
com.google.cloud.spanner.AbstractReadContext.executeQueryInternal(AbstractReadContext.java:669)
com.google.cloud.spanner.AbstractReadContext.executeQuery(AbstractReadContext.java:631)
com.google.cloud.spanner.connection.AbstractMultiUseTransaction.internalExecuteQuery(AbstractMultiUseTransaction.java:150)
com.google.cloud.spanner.connection.AbstractMultiUseTransaction.lambda$executeQueryAsync$0(AbstractMultiUseTransaction.java:141)
io.grpc.Context$2.call(Context.java:583)
com.google.common.util.concurrent.TrustedListenableFutureTask$TrustedFutureInterruptibleTask.runInterruptibly(TrustedListenableFutureTask.java:131)
com.google.common.util.concurrent.InterruptibleTask.run(InterruptibleTask.java:75)
com.google.common.util.concurrent.TrustedListenableFutureTask.run(TrustedListenableFutureTask.java:82)
io.opentelemetry.context.Context.lambda$wrap$1(Context.java:241)
java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1144)
java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:642)
java.base/java.lang.VirtualThread.run(VirtualThread.java:309)

#### External references such as API reference guides

- ?

#### Any additional information below

Following these steps guarantees the quickest resolution possible.

Thanks!

Guide de contribution

Ouvrir le guide de contribution

Évaluation

Cette issue n'a pas encore été évaluée.

Recevez les nouvelles issues par e-mail

Un résumé court des issues GitHub adaptées aux débutants.