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diff --git a/src/web/api/formatters/README.md b/src/web/api/formatters/README.md new file mode 100644 index 000000000..6347f5fb4 --- /dev/null +++ b/src/web/api/formatters/README.md @@ -0,0 +1,82 @@ +<!-- +title: "Query formatting" +custom_edit_url: https://github.com/netdata/netdata/edit/master/src/web/api/formatters/README.md +sidebar_label: "Query formatting" +learn_status: "Published" +learn_topic_type: "References" +learn_rel_path: "Developers/Web/Api/Formatters" +--> + +# 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](/src/web/api/formatters/ssv/README.md)|application/json|a JSON array| +| `csv`|[csv](/src/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](/src/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](/src/web/api/formatters/json/README.md)|application/json|a Google Visualization Provider `datasource` javascript callback| +| `datatable`|[json](/src/web/api/formatters/json/README.md)|application/json|a Google `datatable`| +| `html`|[csv](/src/web/api/formatters/csv/README.md)|text/html|an html table| +| `json`|[json](/src/web/api/formatters/json/README.md)|application/json|a JSON object| +| `jsonp`|[json](/src/web/api/formatters/json/README.md)|application/json|a JSONP javascript callback| +| `markdown`|[csv](/src/web/api/formatters/csv/README.md)|text/plain|a markdown table| +| `ssv`|[ssv](/src/web/api/formatters/ssv/README.md)|text/plain|a space separated list of values| +| `ssvcomma`|[ssv](/src/web/api/formatters/ssv/README.md)|text/plain|a comma separated list of values| +| `tsv`|[csv](/src/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=`. + + |