added season 2 videos to docs (#3731)
* added season 2 videos to docs * Update content/flux/v0.x/get-started/_index.md Co-authored-by: Scott Anderson <sanderson@users.noreply.github.com> * Update content/influxdb/v2.1/process-data/get-started.md Co-authored-by: Scott Anderson <sanderson@users.noreply.github.com> * Update content/telegraf/v1.21/introduction/getting-started.md Co-authored-by: Scott Anderson <sanderson@users.noreply.github.com> * Update content/flux/v0.x/get-started/query-basics.md Co-authored-by: Scott Anderson <sanderson@users.noreply.github.com> Co-authored-by: Scott Anderson <sanderson@users.noreply.github.com>pull/3737/head
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@ -86,4 +86,8 @@ Each example includes the following functions (in the order listed):
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_For detailed information about basic Flux queries,
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see [Flux query basics](/flux/v0.x/get-started/query-basics/)._
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{{< page-nav next="/flux/v0.x/get-started/data-model/" >}}
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For an introduction to Flux and how it works with time series data, watch the following video:
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{{< youtube QwOJttyg858 >}}
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{{< page-nav next="/flux/v0.x/get-started/data-model/" >}}
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@ -196,4 +196,8 @@ Results from this basic query should be similar to the following:
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| co | airSensors | TLM0202 | 0.3336370208486757 |
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| co | airSensors | TLM0203 | 0.4948166816959906 |
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To learn more about Flux concepts and basic functions and see an example of how to write a basic Flux query, watch the following video:
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{{< youtube osSJueQW-EE >}}
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{{< page-nav prev="/flux/v0.x/get-started/syntax-basics/" >}}
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@ -33,3 +33,7 @@ To explore InfluxDB using existing data (*without writing your own data*), see h
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- [Process data](/influxdb/cloud/process-data/)
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- [Visualize data](/influxdb/cloud/visualize-data/)
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- [Monitor and alert](/influxdb/cloud/monitor-alert/)
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The following video discusses different ways to write data to InfluxDB:
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{{< youtube xYnFVvRTlkQ >}}
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@ -162,3 +162,8 @@ data
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|> to(bucket: "example-downsampled")
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```
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To learn more about InfluxDB tasks and how they work, watch the following video:
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{{< youtube zgCmdtZaH9M >}}
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@ -94,6 +94,10 @@ The TSM compaction code is quite complex.
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However, the high-level goal is quite simple:
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organize values for a series together into long runs to best optimize compression and scanning queries.
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For more information on the TSM engine, watch the video below:
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{{< youtube C5sv0CtuMCw >}}
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## Time Series Index (TSI)
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As data cardinality (the number of series) grows, queries read more series keys and become slower.
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@ -201,3 +201,7 @@ If you're just starting out, we recommend taking a look at the following guides:
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- [Get started](/influxdb/v2.1/get-started)
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- [Write data](/influxdb/v2.1/write-data)
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- [Query data](/influxdb/v2.1/query-data)
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For an overview of how these elements interconnect within InfluxDB's data model, watch the follwoing video:
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{{< youtube 3qTTqsL27lI >}}
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@ -29,3 +29,7 @@ related:
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- [Process data](/influxdb/v2.1/process-data/)
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- [Visualize data](/influxdb/v2.1/visualize-data/)
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- [Monitor and alert](/influxdb/v2.1/monitor-alert/)
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The following video discusses different ways to write data to InfluxDB:
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{{< youtube xYnFVvRTlkQ >}}
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@ -246,3 +246,7 @@ from(bucket:"example-bucket")
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|> filter(fn: (r) => r._measurement == "weather_sensor" and r.location =~ /\.north$/ and r._field == "temp")
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|> mean()
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```
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For an overview of the InfluxDB data model, watch the following video:
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{{< youtube 3qTTqsL27lI >}}
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@ -148,3 +148,7 @@ time usage_idle
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Notice that the timestamps occur at rounded ten second intervals (that is, `:00`, `:10`, `:20`, and so on) - this is a configurable setting.
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That's it! You ready to use Telegraf to collect metrics and write them to your output of choice.
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For an introduction to Telegraf and an overview of how it works, watch the following video:
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{{< youtube vGJeo3FaMds >}}
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