azure-eventhub

Exceeds the limit (262144 bytes) currently allowed on the link Exception on SendBatch() method of Azure service bus SDK

由 浪子不回头ぞ 提交于 2019-12-08 06:09:21
问题 We are using SendBatch() method of Azure service bus SDK 3.1.7 to send data to Azure Event Hub. Following is the code snippet : foreach (var packet in transformedPackets) { EventData eventData = new EventData(Encoding.UTF8.GetBytes(JsonConvert.SerializeObject(packet, settings)));; try { eventData.Properties.Add(AppConstants.TenantDeploymentUniqueIdKey, tenantDeploymentUniqueId); eventData.Properties.Add(AppConstants.DataTypeKey, DataTypeKey); byteCount += eventData.SerializedSizeInBytes; if

Event Hub input binding for Azure Functions

由 China☆狼群 提交于 2019-12-08 03:56:46
问题 I have an Azure Function with an input binding to an Event Hub. public static async Task Run(TraceWriter log, string eventHubMessage) When the function is triggered, how many messages does it receive per execution by default? Is it 1 execution = 1 message? I have read the documentation and understand you can set these properties in the function's host.json file: "eventHub": { // The maximum event count received per receive loop. The default is 64. "maxBatchSize": 64, // The default

How are different events handled in Azure Event Hubs?

由 陌路散爱 提交于 2019-12-07 22:30:25
问题 Different event types are discriminated by some combination of topics/queues and message headers. In Kafka, record streams are still separated out as topics (https://kafka.apache.org/intro). In going through the Azure Event Hubs documentation, I do not see any such idea called out. There are partitions, but these are related to consumer parallelism (https://docs.microsoft.com/en-us/azure/event-hubs/event-hubs-what-is-event-hubs#partitions), according to the documentation. Is the idea that you

Multiple Azure EventHub trigger to single function in Azure Function app

由 不问归期 提交于 2019-12-07 14:51:58
问题 I want to do the same functionality (with few changes based on message data) from two different eventhubs. Is it possible to attach two consumer group to a single function. It did not work even though I add it to function.json. 回答1: The short answer is no. You cannot bind multiple input triggers to the same function: https://github.com/Azure/azure-webjobs-sdk-script/wiki/function.json A function can only have a single trigger binding, and can have multiple input/output bindings. However, you

How to use client-side event batching functionality while Sending to Microsoft Azure EventHubs

由 不想你离开。 提交于 2019-12-07 11:36:33
问题 I'm dealing with a high throughput application of EventHub. According to the documentation, in order to achieve very high throughput from a single sender, then client-side batching is required (without exceeding the 256 KB limit per event). Best Practices for performance improvements using Service Bus brokered messaging suggests Client-side batching for achieving performance improvements. It describes client-side batching is available for queue or topic clients, which enables delaying the

Why not always configure for max number of event hub partitions?

由 放肆的年华 提交于 2019-12-07 02:13:35
问题 The Azure Event Hubs overview article states the following: The number of partitions is specified at the Event Hub creation time and must be between 8 and 32. Partitions are a data organization mechanism and are more related to the degree of downstream parallelism required in consuming applications than to Event Hubs throughput. This makes the choice of the number of partitions in an Event Hub directly related to the number of concurrent readers you expect to have. After Event Hub creation,

Event Hub input binding for Azure Functions

由 眉间皱痕 提交于 2019-12-06 22:26:26
I have an Azure Function with an input binding to an Event Hub. public static async Task Run(TraceWriter log, string eventHubMessage) When the function is triggered, how many messages does it receive per execution by default? Is it 1 execution = 1 message? I have read the documentation and understand you can set these properties in the function's host.json file: "eventHub": { // The maximum event count received per receive loop. The default is 64. "maxBatchSize": 64, // The default PrefetchCount that will be used by the underlying EventProcessorHost. "prefetchCount": 256 } Does maxBatchSize

Data not being processed by Azure Event Hub Java client

由 久未见 提交于 2019-12-06 17:47:25
Following the EventProcessorHost example we implemented our custom logic in onEvents(). Some data is not being processed and I suspect this is because of the warnings thrown by the Java client. In the log we see StorageException (time-out on blob storage for renewing leases or checkpointing), LeaseLostException (probably due to the previous exception) and EventHubException (when event hub move or go offline for a short period). Basically my question is: How do these exceptions impact the processing of events and how can we make sure no events are skipped (e.g. via exception handling with retry

Exceeds the limit (262144 bytes) currently allowed on the link Exception on SendBatch() method of Azure service bus SDK

由 不问归期 提交于 2019-12-06 16:38:01
We are using SendBatch() method of Azure service bus SDK 3.1.7 to send data to Azure Event Hub. Following is the code snippet : foreach (var packet in transformedPackets) { EventData eventData = new EventData(Encoding.UTF8.GetBytes(JsonConvert.SerializeObject(packet, settings)));; try { eventData.Properties.Add(AppConstants.TenantDeploymentUniqueIdKey, tenantDeploymentUniqueId); eventData.Properties.Add(AppConstants.DataTypeKey, DataTypeKey); byteCount += eventData.SerializedSizeInBytes; if (byteCount > MaxBatchSize) { sender.SendBatch(transformedMessages); transformedMessages.Clear();

Consume events from EventHub In Azure Databricks using pySpark

由 主宰稳场 提交于 2019-12-06 05:10:31
I could see spark connectors & guidelines for consuming events from Event Hub using Scala in Azure Databricks. But, How can we consume events in event Hub from azure databricks using pySpark? any suggestions/documentation details would help. thanks Below is the snippet for reading events from event hub from pyspark on azure data-bricks. // With an entity path val with = "Endpoint=sb://SAMPLE;SharedAccessKeyName=KEY_NAME;SharedAccessKey=KEY;EntityPath=EVENTHUB_NAME" # Source with default settings connectionString = "Valid EventHubs connection string." ehConf = { 'eventhubs.connectionString' :
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