Adding upstream version 1.37.1.upstream/1.37.1upstream

Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>

1 files changed, 78 insertions, 0 deletions

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+<!--
+title: "Query formatting"
+custom_edit_url: https://github.com/netdata/netdata/edit/master/web/api/formatters/README.md
+-->
+
+# Query formatting
+
+API data queries need to be formatted before returned to the caller.
+Using API parameters, the caller may define the format he/she wishes to get back.
+
+The following formats are supported:
+
+| format|module|content type|description|
+|:----:|:----:|:----------:|:----------|
+| `array`|[ssv](/web/api/formatters/ssv/README.md)|application/json|a JSON array|
+| `csv`|[csv](/web/api/formatters/csv/README.md)|text/plain|a text table, comma separated, with a header line (dimension names) and `\r\n` at the end of the lines|
+| `csvjsonarray`|[csv](/web/api/formatters/csv/README.md)|application/json|a JSON array, with each row as another array (the first row has the dimension names)|
+| `datasource`|[json](/web/api/formatters/json/README.md)|application/json|a Google Visualization Provider `datasource` javascript callback|
+| `datatable`|[json](/web/api/formatters/json/README.md)|application/json|a Google `datatable`|
+| `html`|[csv](/web/api/formatters/csv/README.md)|text/html|an html table|
+| `json`|[json](/web/api/formatters/json/README.md)|application/json|a JSON object|
+| `jsonp`|[json](/web/api/formatters/json/README.md)|application/json|a JSONP javascript callback|
+| `markdown`|[csv](/web/api/formatters/csv/README.md)|text/plain|a markdown table|
+| `ssv`|[ssv](/web/api/formatters/ssv/README.md)|text/plain|a space separated list of values|
+| `ssvcomma`|[ssv](/web/api/formatters/ssv/README.md)|text/plain|a comma separated list of values|
+| `tsv`|[csv](/web/api/formatters/csv/README.md)|text/plain|a TAB delimited `csv` (MS Excel flavor)|
+
+For examples of each format, check the relative module documentation.
+
+## Metadata with the `jsonwrap` option
+
+All data queries can be encapsulated to JSON object having metadata about the query and the results.
+
+This is done by adding the `options=jsonwrap` to the API URL (if there are other `options` append
+`,jsonwrap` to the existing ones).
+
+This is such an object:
+
+```bash
+# curl -Ss 'https://registry.my-netdata.io/api/v1/data?chart=system.cpu&after=-3600&points=6&group=average&format=csv&options=nonzero,jsonwrap'
+{
+   "api": 1,
+   "id": "system.cpu",
+   "name": "system.cpu",
+   "view_update_every": 600,
+   "update_every": 1,
+   "first_entry": 1540387074,
+   "last_entry": 1540647070,
+   "before": 1540647000,
+   "after": 1540644000,
+   "dimension_names": ["steal", "softirq", "user", "system", "iowait"],
+   "dimension_ids": ["steal", "softirq", "user", "system", "iowait"],
+   "latest_values": [0, 0.2493766, 1.745636, 0.4987531, 0],
+   "view_latest_values": [0.0158314, 0.0516506, 0.866549, 0.7196127, 0.0050002],
+   "dimensions": 5,
+   "points": 6,
+   "format": "csv",
+   "result": "time,steal,softirq,user,system,iowait\n2018-10-27 13:30:00,0.0158314,0.0516506,0.866549,0.7196127,0.0050002\n2018-10-27 13:20:00,0.0149856,0.0529183,0.8673155,0.7121144,0.0049979\n2018-10-27 13:10:00,0.0137501,0.053315,0.8578097,0.7197613,0.0054209\n2018-10-27 13:00:00,0.0154252,0.0554688,0.899432,0.7200638,0.0067252\n2018-10-27 12:50:00,0.0145866,0.0495922,0.8404341,0.7011141,0.0041688\n2018-10-27 12:40:00,0.0162366,0.0595954,0.8827475,0.7020573,0.0041636\n",
+ "min": 0,
+ "max": 0
+}
+```
+
+## Downloading data query result files
+
+Following the [Google Visualization Provider guidelines](https://developers.google.com/chart/interactive/docs/dev/implementing_data_source),
+Netdata supports parsing `tqx` options.
+
+Using these options, any Netdata data query can instruct the web browser to download
+the result and save it under a given filename.
+
+For example, to download a CSV file with CPU utilization of the last hour,
+[click here](https://registry.my-netdata.io/api/v1/data?chart=system.cpu&after=-3600&format=csv&options=nonzero&tqx=outFileName:system+cpu+utilization+of+the+last_hour.csv).
+
+This is done by appending `&tqx=outFileName:FILENAME` to any data query.
+The output will be in the format given with `&format=`.
+
+