{"id":891,"date":"2022-10-03T13:06:33","date_gmt":"2022-10-03T03:06:33","guid":{"rendered":"https:\/\/www.infrasoft.com.au\/?p=891"},"modified":"2024-03-28T13:30:39","modified_gmt":"2024-03-28T03:30:39","slug":"ulinga-for-kafka-support-for-custom-code-via-user-exits","status":"publish","type":"post","link":"https:\/\/www.infrasoft.com.au\/?p=891","title":{"rendered":"uLinga for Kafka – Support for Custom Code via User Exits"},"content":{"rendered":"\t\t
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Introduction<\/h3>

HPE NonStop users are becoming more familiar with Kafka, as Kafka in turn becomes more and more prevalent inside large enterprise environments.\u00a0 Kafka is now used by thousands of companies, including 60% of the Fortune 100, and many NonStop shops.\u00a0 Well known users in the finance space include Goldman Sachs, Rabobank, Barclays, Jack Henry and PayPal, and household names that use Kafka include Netflix, Oracle, LinkedIn and AirBnB.\u00a0 A full list of Kafka users is available here.<\/a><\/p>

These organizations use Kafka to manage \u201cstreams\u201d of data, which have become prevalent as internet usage massively boosts the amount of data being generated and needing to be processed.\u00a0Kafka allows these huge volumes of data to be processed in real-time, via a combination of \u201cproducers\u201d and \u201cconsumers\u201d, which work with a Kafka \u201ccluster\u201d \u2013 the main data repository.<\/p>

NonStop Servers have valuable data on them that users may want to stream to Kafka, and NonStop applications may also have a need to send their data directly to Kafka.\u00a0 In these situations, NonStop users need a reliable, high-performing way to get that data streamed to Kafka.\u00a0 This is where uLinga for Kafka comes in.<\/span><\/p>

uLinga for Kafka – Overview<\/span><\/h3><\/div>

uLinga for Kafka is the latest addition to Infrasoft\u2019s uLinga product range, a solution suite that has been used by large banks, telcos and manufacturers to provide reliable mission-critical communications infrastructure for many years.\u00a0 uLinga for Kafka brings the same performance, scalability, security and manageability to the Kafka space as users have successfully utilized with the other uLinga products.<\/a><\/p>

uLinga for Kafka takes a unique approach to Kafka integration: it runs as a natively compiled Guardian process pair, and supports the Kafka communications protocols directly over TCP\/IP.\u00a0 This removes the need for Java libraries or intermediate databases, providing the best possible performance on HPE NonStop.\u00a0 It also allows uLinga for Kafka to directly communicate with the Kafka cluster, getting streamed data across as quickly and reliably as possible.<\/p>

With the latest release of uLinga for Kafka now available, a number of new key features have been implemented. The product has once again been benchmarked and proven to perform at massive volumes \u2013 over 25,000 TPS running on a single core of a NonStop X3 processor. This article provides a refresher on uLinga for Kafka and summarises those new features and performance figures.<\/span><\/p>

uLinga for Kafka – Application Integration<\/h3>

uLinga for Kafka (uLinga) supports a range of options to communicate with HPE NonStop applications and read\/process NonStop data.<\/span>\u00a0 <\/span>Applications can use standard Guardian IPC messages, or Pathsend requests, to send data to uLinga, and HTTP clients can send data via uLinga\u2019s inbuilt HTTP interface.<\/span>\u00a0 <\/span>uLinga can process disk records directly from Enscribe files, and as of the most recent product release, also supports TMF Audit Trails, meaning updates to all TMF-protected files can be streamed by uLinga to Kafka.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Figure 1. uLinga for Kafka Accessing TMF Audit Trail Data<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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User Exit Support<\/span><\/h3>

The most recent release of uLinga for Kafka includes support for customer-written user exit processing.<\/span>\u00a0 <\/span>Custom user exit code can manipulate\/transform data before it is sent to Kafka, or can conditionally determine whether a particular record should be sent to Kafka or omitted.<\/span>\u00a0 <\/span>The functionality implemented by the custom code is entirely up to the customer \u2013 virtually anything is possible.<\/span><\/p>

\u00a0<\/p>

Custom user exit functionality can be invoked from a number of configuration points within uLinga.\u00a0 Consider the following implementation, where uLinga is reading\/streaming data from an Enscribe file using its FILEREADER capability:<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Figure 2. NonStop Application Sending Data to uLinga over $RECEIVE<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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In this configuration, a uLinga USEREXIT could be invoked from the IPCSERVER, from the KAFKAPRODUCER, or both.\u00a0 This gives significant flexibility in terms of where customer-written code is executed.\u00a0<\/p>

\u00a0<\/p>

If uLinga was configured to monitor two different sets of Enscribe files, it would have two different FILEREADER resources.\u00a0 In this case you could configure a different USEREXIT for each FILEREADER, providing different functionality for each file being processed.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Figure 3. Different Custom Code for Different Enscribe Files<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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If you wanted all data being streamed to a single topic to have the same custom code logic applied, you could configure a USEREXIT at the KAFKAPRODUCER.\u00a0 This would ensure that all data, regardless of the origin, would have the same custom code invoked.<\/p>

\u00a0<\/div>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Figure 4. Common Code for Single Kafka Topic<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Customer-written user exit code can be managed by uLinga for Kafka, using uLinga\u2019s Worker Farm framework.\u00a0 <\/span>Customer-written code can also be run as a Pathway server class, and can even be run on a remote HTTP server, accessed by uLinga\u2019s built-in HTTP support.<\/span><\/p>

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Figure 5. Custom User Exit Code running on an Off-board Web Server<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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High Performance<\/b><\/o:p><\/p>

Because uLinga for Kafka is written in C, and does not\nrequire any additional libraries or interim servers, it is able to achieve\nimpressive performance figures, with extremely low latency.<\/o:p><\/p>

Infrasoft testing has shown that the product is able to\nexceed 25,000 TPS with sub-millisecond latency, running in a single core of a\nNonStop X3 processor.  Perhaps more\nimportantly given most NonStops are used in OLTP environments, when running at\na steady state of 1000TPS, uLinga for Kafka has a very low CPU\nrequirement.  This will allow uLinga for\nKafka to process data from the busiest of NonStop OLTP applications with\nminimal overhead.<\/o:p><\/p>

\n\n\n\n\n\n<\/p>

uLinga for Kafka is now available.  Please contact productinfo@infrasoft.com.au<\/a> for\nmore information or to arrange a trial.  <\/o:p><\/p>\n

<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

Introduction HPE NonStop users are becoming more familiar with Kafka, as Kafka in turn becomes more and more prevalent inside large enterprise environments.\u00a0 Kafka is now used by thousands of companies, including 60% of the Fortune 100, and many NonStop shops.\u00a0 Well known users in the finance space include Goldman Sachs, Rabobank, Barclays, Jack Henry […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-891","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"\nuLinga for Kafka - Support for Custom Code via User Exits - Infrasoft<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.infrasoft.com.au\/?p=891\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"uLinga for Kafka - 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