Add tutorial for content filtering subscription #1270
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Pull Request Overview
This PR introduces a comprehensive tutorial for content filtering subscription functionality in rclnodejs. Content filtering allows subscribers to filter messages at the DDS middleware level using SQL-like expressions, reducing network traffic and computational overhead.
Key Changes
- Added complete tutorial documentation for content filtering subscription feature
- Provided practical examples covering temperature monitoring, robot motion filtering, and multi-sensor data processing
- Included compatibility checks, troubleshooting guidance, and best practices
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tutorials/content-filtering-subscription.md:1
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# Content Filtering Subscription in rclnodejs
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Incorrect markdown code block closing. Should use three backticks (```) instead of four.
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| // ✅ Correct - string comparison with quotes in parameter | ||
| { expression: "status = %0", parameters: ["'active'"] } | ||
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Incorrect markdown code block closing. Should use three backticks (```) instead of four.
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| if (this.subscription.setContentFilter(newFilter)) { |
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The variable this.subscription is used but was never assigned in the updateRange method. It should reference the subscription created in the start method.
This PR introduces a comprehensive tutorial for content filtering subscription functionality in rclnodejs. Content filtering allows subscribers to filter messages at the DDS middleware level using SQL-like expressions, reducing network traffic and computational overhead. ### Key Changes - Added complete tutorial documentation for content filtering subscription feature - Provided practical examples covering temperature monitoring, robot motion filtering, and multi-sensor data processing - Included compatibility checks, troubleshooting guidance, and best practices Fix: #1269
2 participants
This PR introduces a comprehensive tutorial for content filtering subscription functionality in rclnodejs. Content filtering allows subscribers to filter messages at the DDS middleware level using SQL-like expressions, reducing network traffic and computational overhead.
Key Changes
Fix: #1269