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Copy file name to clipboardExpand all lines: articles/stream-analytics/stream-analytics-test-query.md
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@@ -7,13 +7,13 @@ ms.author: mamccrea
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ms.reviewer: jasonh
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ms.service: stream-analytics
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ms.topic: conceptual
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ms.date: 12/07/2018
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ms.date: 6/21/2019
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ms.custom: seodec18
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---
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# Test a Stream Analytics query with sample data
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By using Azure Stream Analytics, you can upload sample data and test queries in the Azure portal without starting or stopping a job.
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By using Azure Stream Analytics, you can sample data from inputs or upload sample data to test queries in the Azure portal without starting or stopping a job.
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## Upload sample data and test the query
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3. On the Stream Analytics job page, under the **Job Topology** heading, select **Query** to open the Query editor window.
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4. To test your query with sample input data, right-click on any of your inputs. Then select **Upload sample data from file**. The data must be serialized in JSON, CSV or AVRO. Sample input must be encoded in UTF-8 and not compressed. Only comma (,) delimiter is supported for testing CSV input on portal.
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4. To test your query you can then either sample data from a live input, or upload from a file. The data must be serialized in JSON, CSV or AVRO. Sample input must be encoded in UTF-8 and not compressed. Only comma (,) delimiter is supported for testing CSV input on portal.
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1. Using live input: right-click on any of your inputs. Then select **Sample data from input**. In the next screen, you can set the duration of the sample.
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1. Using file: right-click on any of your inputs. Then select **Upload sample data from file**.
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5. After the upload is complete, select **Test** to test this query against the sample data you have provided.
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5. After the sampling or upload is complete, select **Test** to test this query against the sample data you have provided.
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Copy file name to clipboardExpand all lines: articles/stream-analytics/stream-analytics-troubleshoot-output.md
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@@ -86,6 +86,10 @@ Note the following observations when configuring IGNORE_DUP_KEY for several type
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* You can set the IGNORE_DUP_KEY option using ALTER INDEX for a unique index, which is different from PRIMARY KEY/UNIQUE constraint and created using CREATE INDEX or INDEX definition.
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* IGNORE_DUP_KEY doesn’t apply to column store indexes because you can’t enforce uniqueness on such indexes.
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## Column names are lower-cased by Azure Stream Analytics
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When using the original compatibility level (1.0), Azure Stream Analytics used to change column names to lower case. This behavior was fixed in later compatibility levels. In order to preserve the case, we advise customers to move to the compatibility level 1.1 and later. You can find more information on [Compatibility level for Azure Stream Analytics jobs](https://docs.microsoft.com/azure/stream-analytics/stream-analytics-compatibility-level).
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## Get help
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For further assistance, try our [Azure Stream Analytics forum](https://social.msdn.microsoft.com/Forums/azure/home?forum=AzureStreamAnalytics).
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