The "class not registered" error indicates that a specific component or class required by a program is not properly registered on your device. This can occur when an app attempts to use a DLL (Dynamic Link Library) or COM (Component Object Model) object that hasn't been registered or is missing from the system.
In some cases, the problem might be the result of corrupted DLL or COM files that are lying around somewhere on your PC. And in the worst-case scenario, it could be due to Registry errors and various system-related issues.
Came to know that Microsoft will not register the 32 bit com components to the paths HKLM\CLSID, HKCR\CLSID in 64 bit machine rather it places the entry in HKLM\Wow6432Node\CLSID and HKCR\Wow6432Node\CLSID paths.
Now the conflict is 64 bit process trying to invoke 32 bit process in 64 bit machine which will look for the registry entry in HKLM\CLSID, HKCR\CLSID. The solution is we have to force the 64 bit process to look at the registry entry at HKLM\Wow6432Node\CLSID and HKCR\Wow6432Node\CLSID.
Also note that the class context when initializing can create that exception. If you have an object which is coded as INPROC_SERVER but you try to CoCreateInstance as CLSCTX_LOCAL_SERVER, you will also get that error.
I got it to work by Enabling 32 bit applications in the Application Pool advanced settings. Right click on the application pool and choose advanced settings - enable 32 bit applications.This may help someone out there.
I had the same issue using MapWinGis.I found the solution, working on visual studio 2015 windows forms proyect, just right click on the proyect-> properties-> Build, set configuration to All configurations and in the conbobox "platform target" set it to x64.
The only thing worked for me is recreating interop DLL by running tlbimp command with latest .NET framework (in my case it was v4.7.2) and then use this DLL to rebuild the project. That solved it.
I ran into this issue calling a .Net assembly from a C++ client via COM. It turns out that one of the assemblies the .Net assembly depended on could not be found. I wrestled for a while trying to figure out what was wrong with the 1st assembly, but it was actually one of the 1st assembly's dependencies. I received two different errors when calling CoCreateInstance() from the C++ client. The first was:REGDB_E_CLASSNOTREG Class not registeredAnd the second try was:0x80131040 : The located assembly's manifest definition does not match the assembly reference.
So check that your assembly's references are present.I discovered this by browsing the 1st assembly with dotPeek and noticing one of it's references was missing. Placing the correct version of the dependency in the folder resolved both errors.
I ran into the same issue using a COM class, i.e. 'Class not registered exception' at runtime. For me I was able to resolve by going to the app.config file and change the 'startup' and 'supportedRuntime' elements to something like:
I have faced the same issue. After done some research i found fix for me and it may useful. The issue is not only related to re-installation as of my observation, it depends on access permissions also.
Step 2: Component Services > Computers > My Computer > DCOM Config > Select your COM object > Right click > Properties > Security tab > Access Permissions > Choose Customize > Click EDIT > Select IIS_USER (If not exists create with complete rights) and give complete access and click OK.
Note that starting with Confluent Platform version 7.4, KRaft mode is the default for metadata management for new Kafka clusters,and as a result, there are some configuration properties specific to KRaft controllers listed in this topic.
Enables auto leader balancing. A background thread checks the distribution of partition leaders at regular intervals, configurable by leader.imbalance.check.interval.seconds. If the leader imbalance exceeds leader.imbalance.per.broker.percentage, leader rebalance to the preferred leader for partitions is triggered.
This config specifies the upper capacity limit for consumer outgoing bytes per second per leader broker. The Confluent DataBalancer will attempt to keep outgoing data throughput below this limit. Note that fetch from follower traffic is not accounted for in this first release.
The path to the credentials file used to create the Azure Block Blob client. It uses a JSON file with one of the following options:- connectionString for the target confluent.tier.azure.block.blob.container.- azureClientId, azureTenantId and azureClientSecret for the target confluent.tier.azure.block.blob.container.Please refer to Azure documentation for further information. If this property is not specified, the Azure Block Blob client will use the DefaultAzureCredential to locate the credentials across several well-known locations.
When tiering is enabled, this configuration controls the maximum time we will retain a log segment on broker-local storage before we will discard it to free up space. Segments discarded from local store could continue to exist in tiered storage and remain available for fetches depending on retention configurations. If set to -1, no time limit is applied.
A comma-separated list of the names of the listeners used by the controller. This is required if running in KRaft mode. When communicating with the controller quorum, the broker will always use the first listener in this list. Note: The ZooKeeper-based controller should not set this configuration.
Maximum time without a successful fetch from the current leader before becoming a candidate and triggering an election for voters; Maximum time a leader can go without receiving valid fetch or fetchSnapshot request from a majority of the quorum before resigning.
A comma-separated list of listener names which may be started before the authorizer has finished initialization. This is useful when the authorizer is dependent on the cluster itself for bootstrapping, as is the case for the StandardAuthorizer (which stores ACLs in the metadata log.) By default, all listeners included in controller.listener.names will also be early start listeners. A listener should not appear in this list if it accepts external traffic.
This is the maximum number of bytes in the log between the latest snapshot and the high-watermark needed before generating a new snapshot. The default value is 20971520. To generate snapshots based on the time elapsed, see the metadata.log.max.snapshot.interval.ms configuration. The Kafka node will generate a snapshot when either the maximum time interval is reached or the maximum bytes limit is reached.
This is the maximum number of milliseconds to wait to generate a snapshot if there are committed records in the log that are not included in the latest snapshot. A value of zero disables time based snapshot generation. The default value is 3600000. To generate snapshots based on the number of metadata bytes, see the metadata.log.max.record.bytes.between.snapshots configuration. The Kafka node will generate a snapshot when either the maximum time interval is reached or the maximum bytes limit is reached.
The node ID associated with the roles this process is playing when process.roles is non-empty. Every node in a KRaft cluster must have a unique node.id, this includes broker and controller nodes. This is required configuration when running in KRaft mode.
The number of threads that the server uses for receiving requests from the network and sending responses to the network. Noted: each listener (except for controller listener) creates its own thread pool.
Number of fetcher threads used to replicate records from each source broker. The total number of fetchers on each broker is bound by num.replica.fetchers multiplied by the number of brokers in the cluster.Increasing this value can increase the degree of I/O parallelism in the follower and leader broker at the cost of higher CPU and memory utilization.
The maximum wait time for each fetcher request issued by follower replicas. This value should always be less than the replica.lag.time.max.ms at all times to prevent frequent shrinking of ISR for low throughput topics
The configuration controls the maximum amount of time the client will wait for the response of a request. If the response is not received before the timeout elapses the client will resend the request if necessary or fail the request if retries are exhausted.
The time in ms that the transaction coordinator will wait without receiving any transaction status updates for the current transaction before expiring its transactional id. Transactional IDs will not expire while a the transaction is still ongoing.
Specifies the ZooKeeper connection string in the form hostname:port where host and port are the host and port of a ZooKeeper server. To allow connecting through other ZooKeeper nodes when that ZooKeeper machine is down you can also specify multiple hosts in the form hostname1:port1,hostname2:port2,hostname3:port3.The server can also have a ZooKeeper chroot path as part of its ZooKeeper connection string which puts its data under some path in the global ZooKeeper namespace. For example to give a chroot path of /chroot/path you would give the connection string as hostname1:port1,hostname2:port2,hostname3:port3/chroot/path.
Feature flag that enables tiered cleaning components. This must be enabled before tiered cleaning could be enabled by using confluent.tier.cleaner.enable property. This configuration is not reversible and will apply to all non-internal metadata topics.
Allow tiering for topic(s). This enables tiering and fetching of data to and from the configured remote storage. When set to true, this causes all existing, non-compacted topics to also have this configuration set to true. Only topics explicitly set to false will remain false.It is not required to set confluent.tier.enable=true to enable Tiered Storage.
When explicitly set to a positive number (the default is 0, not a positive number), a session lifetime that will not exceed the configured value will be communicated to v2.2.0 or later clients when they authenticate. The broker will disconnect any such connection that is not re-authenticated within the session lifetime and that is then subsequently used for any purpose other than re-authentication. Configuration names can optionally be prefixed with listener prefix and SASL mechanism name in lower-case. For example, listener.name.sasl_ssl.oauthbearer.connections.max.reauth.ms=3600000
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