title | description | services | author | ms.author | ms.reviewer | ms.service | ms.topic | ms.date |
---|---|---|---|---|---|---|---|---|
Ingest sample data into Azure Data Explorer |
Learn about how to ingest (load) weather-related sample data into Azure Data Explorer. |
data-explorer |
orspod |
v-orspod |
mblythe |
data-explorer |
conceptual |
09/24/2018 |
This article shows you how to ingest (load) sample data into an Azure Data Explorer database. There are several ways to ingest data; this article focuses on a basic approach that is suitable for testing purposes.
Note
You already have this data if you completed Quickstart: Ingest data using the Azure Data Explorer Python library.
The StormEvents sample data set contains weather-related data from the National Centers for Environmental Information.
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Sign in to https://dataexplorer.azure.com.
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In the upper-left of the application, select Add cluster.
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In the Add cluster dialog box, enter your cluster URL in the form
https://<ClusterName>.<Region>.kusto.windows.net/
, then select Add. -
Paste in the following command, and select Run.
.create table StormEvents (StartTime: datetime, EndTime: datetime, EpisodeId: int, EventId: int, State: string, EventType: string, InjuriesDirect: int, InjuriesIndirect: int, DeathsDirect: int, DeathsIndirect: int, DamageProperty: int, DamageCrops: int, Source: string, BeginLocation: string, EndLocation: string, BeginLat: real, BeginLon: real, EndLat: real, EndLon: real, EpisodeNarrative: string, EventNarrative: string, StormSummary: dynamic) .ingest into table StormEvents h'https://kustosamplefiles.blob.core.windows.net/samplefiles/StormEvents.csv?st=2018-08-31T22%3A02%3A25Z&se=2020-09-01T22%3A02%3A00Z&sp=r&sv=2018-03-28&sr=b&sig=LQIbomcKI8Ooz425hWtjeq6d61uEaq21UVX7YrM61N4%3D' with (ignoreFirstRecord=true)
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After ingestion completes, paste in the following query, select the query in the window, and select Run.
StormEvents | sort by StartTime desc | take 10
The query returns the following results from the ingested sample data.