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Merge pull request #194582 from sidramadoss/patch-116
Update stream-analytics-troubleshoot-input.md
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articles/stream-analytics/stream-analytics-troubleshoot-input.md

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ms.service: stream-analytics
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ms.topic: troubleshooting
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ms.date: 05/01/2020
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ms.date: 04/08/2022
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ms.custom: seodec18
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---
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In cases where the message payload is greater than 32 KB or is in binary format, run the CheckMalformedEvents.cs code available in the [GitHub samples repository](https://github.com/Azure/azure-stream-analytics/tree/master/Samples/CheckMalformedEventsEH). This code reads the partition ID, offset, and prints the data that's located in that offset.
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Other common reasons that result in input deserialization errors are:
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1. Integer column having a value greater than 9223372036854775807.
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2. Strings instead of array of objects or line separated objects. Valid example : *[{'a':1}]*. Invalid example : *"'a' :1"*.
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3. Using Event Hub capture blob in Avro format as input in your job.
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4. Having two columns in a single input event that differ only in case. Example: *column1* and *COLUMN1*.
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## Job exceeds maximum Event Hub receivers
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A best practice for using Event Hubs is to use multiple consumer groups for job scalability. The number of readers in the Stream Analytics job for a specific input affects the number of readers in a single consumer group. The precise number of receivers is based on internal implementation details for the scale-out topology logic and is not exposed externally. The number of readers can change when a job is started or during job upgrades.
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* [Get started using Azure Stream Analytics](stream-analytics-real-time-fraud-detection.md)
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* [Scale Azure Stream Analytics jobs](stream-analytics-scale-jobs.md)
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* [Azure Stream Analytics Query Language Reference](/stream-analytics-query/stream-analytics-query-language-reference)
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* [Azure Stream Analytics Management REST API Reference](/rest/api/streamanalytics/)
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* [Azure Stream Analytics Management REST API Reference](/rest/api/streamanalytics/)

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