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articles/stream-analytics/stream-analytics-troubleshoot-input.md

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@@ -19,13 +19,13 @@ This page describes common issues with input connections and how to troubleshoot
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2. Examine your input data.
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To verify that input data is flowing into Event Hub, use [Service Bus Explorer](https://code.msdn.microsoft.com/windowsapps/Service-Bus-Explorer-f2abca5a) to connect to Azure Event Hub (if Event Hub input is used).
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1. To verify that input data is flowing into Event Hub, use [Service Bus Explorer](https://code.msdn.microsoft.com/windowsapps/Service-Bus-Explorer-f2abca5a) to connect to Azure Event Hub (if Event Hub input is used).
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Use the [**Sample Data**](stream-analytics-sample-data-input.md) button for each input, and download the input sample data.
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1. Use the [**Sample Data**](stream-analytics-sample-data-input.md) button for each input. Download the input sample data.
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Inspect the sample data to understand the shape of the data: the schema and the [data types](https://docs.microsoft.com/stream-analytics-query/data-types-azure-stream-analytics).
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1. Inspect the sample data to understand the shape of the data--that is, the schema and [data types](https://docs.microsoft.com/stream-analytics-query/data-types-azure-stream-analytics).
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3. Ensure you have selected a time range in the input preview. Click the “Select time range and provide a sample duration before testing your query.
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3. Ensure that you have selected a time range in the input preview. Choose **Select time range**, and then enter a sample duration before testing your query.
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## Malformed input events causes deserialization errors
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Deserialization issues are caused when the input stream of your Stream Analytics job contains malformed messages. For example, a malformed message could be caused by a missing parenthesis or a brace in a JSON object, or an incorrect timestamp format in the time field.

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