Batchpatch Error 102

[Gracia Bradshaw]

Unable to do the windows update through batch patch. When I tried to check for available updates, some instances are showing the error message as Error 1601: Failed to retrieve WMI info. The RPC server is unavailable".

The page that you linked (batchpatch.com/troubleshooting-common-errors-in-batchpatch) contains additional links for troubleshooting the 'RPC server is unavailable' error. It specifically points to these two links:

It is not sufficient to just open 135 and 445 in the Windows Firewall. You must open 'File and Printer sharing' and 'Windows Management Instrumentation (WMI).' In your case, probably the error is occurring because you did not open 'Windows Management Instrumentation (WMI).'

atm i have a wsus server and i have all my computers in the OU pointing to my wsus server eg :8530 but when i come to checking what updates are available to my host by right clicking > windows updates > check for available updates i get this error

From searching on this forum, it appears that error 1611 codes are BatchPatch internal codes. I received 2 over the weekend when trying to patch some servers. Can you tell me what these 2 error codes mean:

The 1611 is sort-of a generic error indicator. It means that the remote agent process exited with an unexpected code, with the unexpected codes being 59 and 5 on your two targets. The unexpected codes are Windows system error codes.

I would suggest that you start by rebooting the target computers. Then see if it happens again. You might find that these are transient issues, especially if you have not had any issues running BP with these computers in the past.

I recently bought a license and perform patch deployment to a number of servers in my company. Are there consolidated reference link where I can find BatchPatch error codes that has a corresponding fixes. I got different sort of error like Error 64, Error 2 to name a few and quite having trouble finding solutions in the forum.

This is probably a transient error. You are correct that this might have occurred as the result of the target user going offline during the operation, especially considering that it did not happen until after the downloading had already begun.

Cloud Firestore supports atomic operations for readingand writing data. In a set of atomic operations, either all of the operationssucceed, or none of them are applied. There are two types of atomic operationsin Cloud Firestore:

Using the Cloud Firestore client libraries, you can group multipleoperations into a single transaction. Transactions are useful when you want toupdate a field's value based on its current value, or the value of some otherfield.

A transaction consists of any number ofget() operations followed by any number of write operations such as set(),update(), or delete(). In the case of a concurrent edit,Cloud Firestore runs the entire transaction again. For example, if atransaction reads documents and another client modifies any of those documents,Cloud Firestore retries the transaction. This feature ensures that thetransaction runs on up-to-date and consistent data.

Do not modify application state inside of your transaction functions. Doing sowill introduce concurrency issues, because transaction functions can runmultiple times and are not guaranteed to run on the UI thread. Instead, passinformation you need out of your transaction functions. The following examplebuilds on the previous example to show how to pass information out of atransaction:

Transaction size depends on the sizes of documents and index entriesmodified by the transaction. For a delete operation, this includes the sizeof the target document and the sizes of the index entries deleted inresponse to the operation.

If you do not need to read any documents in your operation set, you can executemultiple write operations as a single batch that contains any combination ofset(), update(), or delete() operations. A batch of writes completesatomically and can write to multiple documents. The followingexample shows how to build and commit a write batch:

Like transactions, batched writes are atomic. Unlike transactions, batchedwrites do not need to ensure that read documents remain un-modified which leadsto fewer failure cases. They are not subject to retries orto failures from too many retries. Batched writes execute even when theuser's device is offline.

For mobile/web client libraries, you can validate data usingCloud Firestore Security Rules. You can ensure that related documents arealways updated atomically and always as part of a transaction or batched write.Use the getAfter() security rule function to access and validatethe state of a document after a set of operations completes but beforeCloud Firestore commits the operations.

For example, imagine that the database for the cities example also contains acountries collection. Each country document uses a last_updated field tokeep track of the last time any city related to that country was updated. Thefollowing security rules require that an update to a city document must alsoatomically update the related country's last_updated field:

In security rules for transactions or batched writes, there is a limitof 20 document access calls for the entire atomic operation in addition to thenormal 10 call limit for each single document operation in the batch.

For more information on how to resolve latency issues caused by large writes and batched writes, errors due to contention from overlapping transactions, and other issues consider checking out the troubleshooting page.

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.

You can group multiple operations into a single HTTP request using a batch operation. These operations are performed sequentially in the order they're specified. The order of the responses match the order of the requests in the batch operation.

The format to send $batch requests is defined in this section of the OData specification: 11.7 Batch Requests. The content in this article summarizes the specification requirements and provides Dataverse specific information and examples.

Batch requests are also sometimes used to sent GET requests where the length of the URL may exceed the maximum allowed URL length. People use batch requests because the URL for the request is included in the body of the message where a URL up to 64 KB (65,536 characters) is allowed. Sending complex queries using FetchXml can result in long URLs. More information: Use FetchXML within a batch request.

Compared to other operations that can be performed using the Web API, batch requests are more difficult to compose. The raw request and response bodies are essentially a text document that must match specific requirements. To access the data in a response, you need to parse the text in the response or locate a helper library to access the data in the response. See .NET helper methods.

Only payload items with a batch identifier matching the batch identifier sent in the Content-Type header will be executed. If no payload item uses the Content-Type batch identifier, the batch request will succeed without executing any payload item.

You must include any other HTTP headers for each item in the batch to control the behavior for that request. Headers applied to the $batch operation will not be applied to each item. For example, if you include a GET request and want to request annotations, you must add the appropriate Prefer: odata.include-annotations="*" header to each item.

The HTTP protocol requires all line endings in $batch request payloads be CRLF.Other line endings may cause deserialization errors. For example: System.ArgumentException: Stream was not readable.. If you cannot use CRLF, you can add two non-CRLF line endings at the end of the request payload to resolve most deserialization errors.

In addition to individual requests, a batch request can include change sets. When multiple operations are contained in a change set, all the operations are considered atomic. An atomic operation means that if any one of the operations fails, any completed operations are rolled back.

The unique identifier doesn't need to be a GUID, but should be unique. Each item within the change set must be preceded by the change set identifier with a Content-Type and Content-Transfer-Encoding header like the following example:

Change sets can also include a Content-ID header with a unique value. This value, when prefixed with $, represents a variable that contains the Uri for any entity created in that operation. For example, when you set the value of 1, you can refer to that entity using $1 later in your change set. More information: Reference URIs in an operation

The following example shows how to use the Organization URI of a Contact record and link it to an Account record using the primarycontactid single-valued navigation property. The URI of the Account entity record is referenced as $1 and the URI of Contact entity record is referenced as $2 in the PATCH request.

You can use the Prefer: odata.continue-on-error request header to specify that more requests be processed when errors occur. The batch request returns 200 OK and individual response errors are returned in the batch response body.

The following example attempts to create three task records associated with an account with accountid equal to 00000000-0000-0000-0000-000000000001, but the length of the subject property for the first task is too long.

When the Prefer: odata.continue-on-error request header is applied to the batch request, the batch request succeeds with a status of 200 OK and the failure of the first request is returned as part of the body.

This sample library is a helper that is used by all the Dataverse C# Web API samples, but it is not an SDK. It is tested only to confirm that the samples that use it run successfully. This sample code is provided 'as-is' with no warranty for reuse.

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