I'm having trouble uploading large files to Google Cloud Storage. I successfully uploaded a 700MB file, but when I tried a 5GB text file, it threw the following exception. I was unable to find a solution with a Google search.
The problem is in the main method of a simple java class.
Exception in thread "main" java.lang.RuntimeException: java.net.SocketTimeoutException: Read timed out
Caused by: java.net.SocketTimeoutException: Read timed out
at java.net.SocketInputStream.socketRead0(Native Method)
at java.net.SocketInputStream.read(SocketInputStream.java:150)
at java.net.SocketInputStream.read(SocketInputStream.java:121)
at sun.security.ssl.InputRecord.readFully(InputRecord.java:312)
at sun.security.ssl.InputRecord.read(InputRecord.java:350)
at sun.security.ssl.SSLSocketImpl.readRecord(SSLSocketImpl.java:893)
at sun.security.ssl.SSLSocketImpl.readDataRecord(SSLSocketImpl.java:850)
......
Getting java.net.SocketTimeoutException: Connection timed out in android it looks like you may need to jump up your connection timeout setting. The link is for android, but the same thing applies, and it's implemented exactly the same.
With larger files, especially on mobile devices and wireless connections, you're much more likely to have your uploads interrupted by a broken connection. The solution to this is to make your upload resilient against broken connections. Google Cloud Storage handles this using a technique called Resumable Uploads. You'll need to make use of this technique so your application can recover from network issues.
In Java SDK we have option to change the connection timeout and retry.
HttpTransportOptions transportOptions = StorageOptions.getDefaultHttpTransportOptions();
transportOptions = transportOptions.toBuilder().setConnectTimeout(60000).setReadTimeout(60000)
.build();
var storage = StorageOptions.newBuilder()
.setRetrySettings(RetrySettings.newBuilder().setMaxAttempts(2).build())
.setTransportOptions(transportOptions)
.setProjectId("project_id").build().getService();
Related
We are trying to reach to an API hosted in our company network using rest connector in ADF (SHIR is used). Linked service connection is successful but dataset is unable to read the data and copy activity is as well failing with below error. Please suggest your thoughts in resolving the same.
Failure happened on 'Source' side. ErrorCode=UserErrorFailToReadFromRestResource,'Type=Microsoft.DataTransfer.Common.Shared.HybridDeliveryException,Message=An error occurred while sending the request.,Source=Microsoft.DataTransfer.ClientLibrary,''Type=System.Net.Http.HttpRequestException,Message=An error occurred while sending the request.,Source=mscorlib,''Type=System.Net.WebException,Message=Unable to connect to the remote server,Source=System,''Type=System.Net.Sockets.SocketException,Message=A connection attempt failed because the connected party did not properly respond after a period of time, or established connection failed because connected host has failed to respond ,Source=System,'
This error is mostly seen due to firewall issues. You might want to verify your network firewall setting to allow the API request to be read.
Also, verify if your API call is working as expected using other API testing tools. If the issue persists you can raise a support ticket for engineers to investigate more on the issue.
If you are able to preview data in your source , then check your sink connection as this issue can occur when the Sink in the copy activity is behind a firewall, I was getting the same issue and I tried copying to a container without a firewall and it worked. Its weird that the error is related to Source and the issue is with Sink.
I am using google-cloud-storage (1.54.0) in my DataFlow pipeline(2.29.0) to write files to Google Storage.
I see the below error randomly.
Error message from worker: java.lang.RuntimeException: org.apache.beam.sdk.util.UserCodeException: com.google.cloud.storage.StorageException: Socket closed org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowsParDoFn$1.output(GroupAlsoByWindowsParDoFn.java:187) org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowFnRunner$1.outputWindowedValue(GroupAlsoByWindowFnRunner.java:108) org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.ReduceFnRunner.lambda$onTrigger$1(ReduceFnRunner.java:1058) org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.ReduceFnContextFactory$OnTriggerContextImpl.output(ReduceFnContextFactory.java:445) org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.SystemReduceFn.onTrigger(SystemReduceFn.java:130) org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.ReduceFnRunner.onTrigger(ReduceFnRunner.java:1061) org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.ReduceFnRunner.emit(ReduceFnRunner.java:932)
When running a distributed system, especially at scale, you need to be able to handle transient errors (as well as idempotence in the face of retry).
I am using php Google Cloud Client library.
$bucket = $this->storage->bucket($bucketName);
$object = $bucket->upload(
fopen($localFilePath, 'r'),
$options
);
This statement, sometimes gave the following errors.
production.ERROR: cURL error 56: SSL read: error:00000000:lib(0):func(0):reason(0), errno 104 (see http://curl.haxx.se/libcurl/c/libcurl-errors.html) {"exception":"[object] (Google\Cloud\Exception\ServiceException(code: 0): cURL error 56: SSL read: error:00000000:lib(0):func(0):reason(0), errno 104 (see http://curl.haxx.se/libcurl/c/libcurl-errors.html) at /opt/processing/vendor/google/cloud/src/RequestWrapper.php:219)
[stacktrace]
But after I re-run the codes, the error is gone.
I had run the codes (data process) for more than a year, I rarely saw this error before. Now, I moved my codes to a new server. I started to see this error. (It might be that this error happened before, just my old setup is not ignore to catch and log these errors.)
Due to the error report is from Google Cloud (less than 5% error rate), and re-run the codes, the error disappears, I think the error cause is from Google Cloud Platform.
Does anyone see the same errors? Are there anything we can do to prevent this error? Or we just have to code our process to retry when this error pops up?
Thanks!
The error code you're getting (error 56) is defined as:
CURLE_RECV_ERROR (56)
Failure with receiving network data.
If you're getting this error it's likely you have a network issue that's causing your connections to break. Over the Internet you can expect to get this kind of error occasionally but rarely. If it's happening frequently there's probably something worse going on.
These types of network issues can be caused by a huge number of things but here's some possibilities:
Firewall or security software on your computer.
Network equipment (e.g. switches, routers, access points, firewalls, etc) or network equipment configuration.
An outage or intermittent connection between your ISP and Google (though it looks like Google wasn't detecting any outages recently).
When you're dealing with cloud storage providers (Google Storage, AWS S3, etc) you should always program in automatic retry logic for anything important. The Internet isn't always going to be perfectly reliable and it's best to plan for that in your code instead of relying on not having a problem.
Noticed below error during load test with multiple users and not in case of single SOAP request.
Could not open JDBC Connection for transaction; nested exception is java.sql.SQLException: javax.resource.ResourceException: IJ000453: Unable to get managed connection for java:
This could be due to any of the following:
The datasource connection pool has not been tuned (e.g. max-pool-size and blocking-timeout-millis) correctly for the maximum load on the application.
The application is leaking connections because it is not closing them and thereby returning them to the pool.
Threads with connections to the database are hanging and holding on to the connections.
Make sure that the min-pool-size and max-pool-size values for the respective datasource are set according to application load testing and connections are getting closed after use inside the application code.
Most likely you've found the bottleneck in your application, it seems that it cannot handle that many virtual users. The easiest solution would be raising an issue in your bug tracker system and let developers investigate it.
If you need to provide the root cause of the failure I can think of at least 2 reasons for this:
Your application or application server configuration is not suitable for high loads (i.e. number of connections in your JBOSS JDBC Connection pool configuration is lower than it is required given the number of virtual users you're simulating. Try amending min-pool-size and max-pool-size values to match the number of virtual users
Your database is overloaded hence cannot accept that many queries. In this case you can consider load testing the database separately (i.e. fire requests to the database directly via JMeter's JDBC Request sampler without hitting the SOAP endpoint of your application.) See The Real Secret to Building a Database Test Plan With JMeter article to learn more about database load testing concept.
Jmeter Environment Details
I am performing Jmeter testing on Microsoft Azure Cloud. I have created on VM(Virtual Machine) on the same cloud and from there I am hitting the application server on the same cloud environment. So in this case there is no network latency.
Problem Statement:
I am trying to run the load test for 300 users for 30 mins , but after 5 mins my script started failing, because of Socket connection refused error.
My Analysis based on information available on net:
I have read somewhere that this problem is because of limited socket connection limit on server, but when i run the same test from VM then my scripts run's just fine. so its definitely not server's issue. Can somebody please help me resolve this issue? Are there any settings needs to be done in jmeter, increase the socket connections?
Actual Screenshot of Error
enter image description here
Most likely:
Looks like situation described at Connection Reset since JMeter 2.10 ? wiki page. If you're absolutely sure that nothing is wrong with your server, you can follow the next recommendations:
Switch all your HTTP Request Samplers "Implementation" to be "HTTPClient4". The fastest and the easiest way of doing it is using HTTP Request Defaults.
Add the next lines to user.properties file (in JMeter's /bin folder)
httpclient4.retrycount=1
hc.parameters.file=hc.parameters
Add (or uncomment and edit) the following line in hc.parameters file
http.connection.stalecheck$Boolean=true
Alternative assumption:
"Good" browsers send "Connection: close" with the last request to the web server. "Bad" browsers don't and keep connection open. You can control this behaviour via "Use KeepAlive" checkbox in the HTTP Request Sampler/Defaults. If it's unchecked - you can try ticking it.