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docs/historic-context-flume.md

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@@ -860,7 +860,6 @@ To leave the Postgres client and leave interactive mode, run the following:
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You will then return to the command-line.
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## ElasticSearch - Persisting Context Data into a Database
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To persist historic context data into an alternative database such as **ElasticSearch**, we will need an additional
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"type": "datetime"
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}
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],
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"rows": [
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[
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"TimeInstant",
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"DateTime",
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"2023-08-14T14:16:48.154Z",
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"supportedProtocol",
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"Text",
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"[\"ul20\"]",
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"Motion:001",
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"Motion",
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"2023-08-14T14:16:48.154Z"
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],
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[
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"TimeInstant",
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"DateTime",
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"2023-08-14T14:16:48.154Z",
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"function",
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"Text",
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"[\"sensing\"]",
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"Motion:001",
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"Motion",
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"2023-08-14T14:16:48.154Z"
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"rows": [
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[
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"TimeInstant",
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"DateTime",
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"2023-08-14T14:16:48.154Z",
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"supportedProtocol",
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"Text",
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"[\"ul20\"]",
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"Motion:001",
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"Motion",
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"2023-08-14T14:16:48.154Z"
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],
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[
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"TimeInstant",
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"DateTime",
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"2023-08-14T14:16:48.154Z",
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"function",
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"Text",
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"[\"sensing\"]",
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"Motion:001",
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"Motion",
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"2023-08-14T14:16:48.154Z"
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]
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]
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]
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}
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```
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## MySQL - Persisting Context Data into a Database
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Similarly, to persisting historic context data into **MySQL**, we will again need an additional container which hosts
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To read persisted data from the attached databases, please refer to the previous sections of this tutorial.
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<script>
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function formatDate(date) {
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var d = new Date(date),

docs/time-series-data.md

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![](https://fiware.github.io/tutorials.Time-Series-Data/img/grafana-result.png)
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<script>
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function isoDate(){
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const date = new Date();

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