Documentation

csv.from() function

csv.from() retrieves data from a comma separated value (CSV) data source and returns a stream of tables.

Function type signature
(?csv: string, ?file: string, ?mode: string) => stream[A] where A: Record
For more information, see Function type signatures.

Parameters

csv

CSV data.

Supports anonotated CSV or raw CSV. Use mode to specify the parsing mode.

file

File path of the CSV file to query.

The path can be absolute or relative. If relative, it is relative to the working directory of the fluxd process. The CSV file must exist in the same file system running the fluxd process.

mode

is the CSV parsing mode. Default is annotations.

Available annotation modes

  • annotations: Use CSV notations to determine column data types.
  • raw: Parse all columns as strings and use the first row as the header row and all subsequent rows as data.

Examples

Query annotated CSV data from file

import "csv"

csv.from(file: "path/to/data-file.csv")

Query raw data from CSV file

import "csv"

csv.from(file: "/path/to/data-file.csv", mode: "raw")

Query an annotated CSV string

import "csv"

csvData =
    "
#datatype,string,long,dateTime:RFC3339,dateTime:RFC3339,dateTime:RFC3339,string,string,double
#group,false,false,false,false,false,true,true,false
#default,,,,,,,,
,result,table,_start,_stop,_time,region,host,_value
,mean,0,2018-05-08T20:50:00Z,2018-05-08T20:51:00Z,2018-05-08T20:50:00Z,east,A,15.43
,mean,0,2018-05-08T20:50:00Z,2018-05-08T20:51:00Z,2018-05-08T20:51:00Z,east,A,65.15
,mean,1,2018-05-08T20:50:00Z,2018-05-08T20:51:00Z,2018-05-08T20:50:20Z,east,B,59.25
,mean,1,2018-05-08T20:50:00Z,2018-05-08T20:51:00Z,2018-05-08T20:51:20Z,east,B,18.67
,mean,2,2018-05-08T20:50:00Z,2018-05-08T20:51:00Z,2018-05-08T20:50:40Z,east,C,52.62
,mean,2,2018-05-08T20:50:00Z,2018-05-08T20:51:00Z,2018-05-08T20:51:40Z,east,C,82.16
"

csv.from(csv: csvData)

View example output

Query a raw CSV string

import "csv"

csvData =
    "
_start,_stop,_time,region,host,_value
2018-05-08T20:50:00Z,2018-05-08T20:51:00Z,2018-05-08T20:50:00Z,east,A,15.43
2018-05-08T20:50:00Z,2018-05-08T20:51:00Z,2018-05-08T20:50:20Z,east,B,59.25
2018-05-08T20:50:00Z,2018-05-08T20:51:00Z,2018-05-08T20:50:40Z,east,C,52.62
"

csv.from(csv: csvData, mode: "raw")

View example output


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