Annotated CSV

InfluxDB and Flux return query results in annotated CSV format. You can also read annotated CSV directly from Flux with the csv.from() function, write data to InfluxDB using annotated CSV and the influx write command, or upload a CSV file in the UI.

CSV tables must be encoded in UTF-8 and Unicode Normal Form C as defined in UAX15. InfluxDB removes carriage returns before newline characters.

Examples

In this topic, you’ll find examples of valid CSV syntax for responses to the following query:

from(bucket:"mydb/autogen")
    |> range(start:2018-05-08T20:50:00Z, stop:2018-05-08T20:51:00Z)
    |> group(columns:["_start","_stop", "region", "host"])
    |> yield(name:"my-result")

CSV response format

Flux supports encodings listed below.

Tables

A table may have the following rows and columns.

Rows

• Annotation rows: describe column properties.

• Header row: defines column labels (one header row per table).

• Record row: describes data in the table (one record per row).

Example

Encoding of a table with and without a header row.

result,table,_start,_stop,_time,region,host,_value
my-result,0,2018-05-08T20:50:00Z,2018-05-08T20:51:00Z,2018-05-08T20:50:00Z,east,A,15.43
my-result,0,2018-05-08T20:50:00Z,2018-05-08T20:51:00Z,2018-05-08T20:50:20Z,east,B,59.25
my-result,0,2018-05-08T20:50:00Z,2018-05-08T20:51:00Z,2018-05-08T20:50:40Z,east,C,52.62

my-result,0,2018-05-08T20:50:00Z,2018-05-08T20:51:00Z,2018-05-08T20:50:00Z,east,A,15.43
my-result,0,2018-05-08T20:50:00Z,2018-05-08T20:51:00Z,2018-05-08T20:50:20Z,east,B,59.25
my-result,0,2018-05-08T20:50:00Z,2018-05-08T20:51:00Z,2018-05-08T20:50:40Z,east,C,52.62

Columns

In addition to the data columns, a table may include the following columns:

• Annotation column: Only used in annotation rows. Always the first column. Displays the name of an annotation. Value can be empty or a supported annotation. You’ll notice a space for this column for the entire length of the table, so rows appear to start with ,.

• Result column: Contains the name of the result specified by the query.

• Table column: Contains a unique ID for each table in a result.

Multiple tables and results

If a file or data stream contains multiple tables or results, the following requirements must be met:

• A table column indicates which table a row belongs to.
• All rows in a table are contiguous.
• An empty row delimits a new table boundary in the following cases:
  • Between tables in the same result that do not share a common table schema.
  • Between concatenated CSV files.
• Each new table boundary starts with new annotation and header rows.

Example

Encoding of two tables in the same result with the same schema (header row) and different schema.

result,table,_start,_stop,_time,region,host,_value
my-result,0,2018-05-08T20:50:00Z,2018-05-08T20:51:00Z,2018-05-08T20:50:00Z,east,A,15.43
my-result,0,2018-05-08T20:50:00Z,2018-05-08T20:51:00Z,2018-05-08T20:50:20Z,east,B,59.25
my-result,0,2018-05-08T20:50:00Z,2018-05-08T20:51:00Z,2018-05-08T20:50:40Z,east,C,52.62
my-result,1,2018-05-08T20:50:00Z,2018-05-08T20:51:00Z,2018-05-08T20:50:00Z,west,A,62.73
my-result,1,2018-05-08T20:50:00Z,2018-05-08T20:51:00Z,2018-05-08T20:50:20Z,west,B,12.83
my-result,1,2018-05-08T20:50:00Z,2018-05-08T20:51:00Z,2018-05-08T20:50:40Z,west,C,51.62

,result,table,_start,_stop,_time,region,host,_value
,my-result,0,2018-05-08T20:50:00Z,2018-05-08T20:51:00Z,2018-05-08T20:50:00Z,east,A,15.43
,my-result,0,2018-05-08T20:50:00Z,2018-05-08T20:51:00Z,2018-05-08T20:50:20Z,east,B,59.25
,my-result,0,2018-05-08T20:50:00Z,2018-05-08T20:51:00Z,2018-05-08T20:50:40Z,east,C,52.62

,result,table,_start,_stop,_time,location,device,min,max
,my-result,1,2018-05-08T20:50:00Z,2018-05-08T20:51:00Z,2018-05-08T20:50:00Z,USA,5825,62.73,68.42
,my-result,1,2018-05-08T20:50:00Z,2018-05-08T20:51:00Z,2018-05-08T20:50:20Z,USA,2175,12.83,56.12
,my-result,1,2018-05-08T20:50:00Z,2018-05-08T20:51:00Z,2018-05-08T20:50:40Z,USA,6913,51.62,54.25

Dialect options

Flux supports the following dialect options for text/csv format.

Annotations

Annotation rows describe column properties, and start with # (or commentPrefix value). The first column in an annotation row always contains the annotation name. Subsequent columns contain annotation values as shown in the table below.

Data types

Line protocol elements

The datatype annotation accepts data types and line protocol elements. Line protocol elements identify how columns are converted into line protocol when using the influx write command to write annotated CSV to InfluxDB.

Mixing data types and line protocol elements

Columns with data types (other than dateTime) in the #datatype annotation are treated as fields when converted to line protocol. Columns without a specified data type default to field when converted to line protocol and column values are left unmodified in line protocol. See an example below and line protocol data types and format.

Time columns

A column with time or dateTime #datatype annotations are used as the timestamp when converted to line protocol. If there are multiple time or dateTime columns, the last column (on the right) is used as the timestamp in line protocol. Other time columns are ignored and the influx write command outputs a warning.

Time column values should be Unix timestamps (in an accepted timestamp precision), RFC3339, or RFC3339Nano.

Example line protocol elements in datatype annotation

#datatype measurement,tag,tag,field,field,ignored,time
m,cpu,host,time_steal,usage_user,nothing,time
cpu,cpu1,host1,0,2.7,a,1482669077000000000
cpu,cpu1,host2,0,2.2,b,1482669087000000000

Resulting line protocol:

cpu,cpu=cpu1,host=host1 time_steal=0,usage_user=2.7 1482669077000000000
cpu,cpu=cpu1,host=host2 time_steal=0,usage_user=2.2 1482669087000000000

Example of mixing data types line protocol elements

#datatype measurement,tag,string,double,boolean,long,unsignedLong,duration,dateTime
#default test,annotatedDatatypes,,,,,,
m,name,s,d,b,l,ul,dur,time
,,str1,1.0,true,1,1,1ms,1
,,str2,2.0,false,2,2,2us,2020-01-11T10:10:10Z

Resulting line protocol:

test,name=annotatedDatatypes s="str1",d=1,b=true,l=1i,ul=1u,dur=1000000i 1
test,name=annotatedDatatypes s="str2",d=2,b=false,l=2i,ul=2u,dur=2000i 1578737410000000000

Annotated CSV in Flux

Flux requires all annotation and header rows in annotated CSV. The example below illustrates how to use the csv.from() function to read annotated CSV in Flux:

import "csv"

csvData = "#datatype,string,long,dateTime:RFC3339,dateTime:RFC3339,dateTime:RFC3339,string,string,double,string
#group,false,false,true,true,false,true,false,false,true
#default,,,,,,,,,
,result,table,_start,_stop,_time,region,host,_value,_measurement
,,0,2018-05-08T20:50:00Z,2018-05-08T20:51:00Z,2018-05-08T20:50:00Z,east,A,15.43,cpu
,,0,2018-05-08T20:50:00Z,2018-05-08T20:51:00Z,2018-05-08T20:50:20Z,east,B,59.25,cpu
,,0,2018-05-08T20:50:00Z,2018-05-08T20:51:00Z,2018-05-08T20:50:40Z,east,C,52.62,cpu
,,1,2018-05-08T20:50:00Z,2018-05-08T20:51:00Z,2018-05-08T20:50:00Z,west,A,62.73,cpu
,,1,2018-05-08T20:50:00Z,2018-05-08T20:51:00Z,2018-05-08T20:50:20Z,west,B,12.83,cpu
,,1,2018-05-08T20:50:00Z,2018-05-08T20:51:00Z,2018-05-08T20:50:40Z,west,C,51.62,cpu
"

csv.from(csv: csvData)

Errors

If an error occurs during execution, a table returns with:

• An error column that contains an error message.
• A reference column with a unique reference code to identify more information about the error.
• A second row with error properties.

If an error occurs:

• Before results materialize, the HTTP status code indicates an error. Error details are encoded in the csv table.
• After partial results are sent to the client, the error is encoded as the next table and remaining results are discarded. In this case, the HTTP status code remains 200 OK.

Example

Encoding for an error with the datatype annotation:

#datatype,string,long
,error,reference
,Failed to parse query,897

Encoding for an error that occurs after a valid table has been encoded:

#datatype,string,long,dateTime:RFC3339,dateTime:RFC3339,dateTime:RFC3339,string,string,double
,result,table,_start,_stop,_time,region,host,_value
,my-result,1,2018-05-08T20:50:00Z,2018-05-08T20:51:00Z,2018-05-08T20:50:00Z,west,A,62.73
,my-result,1,2018-05-08T20:50:00Z,2018-05-08T20:51:00Z,2018-05-08T20:50:20Z,west,B,12.83
,my-result,1,2018-05-08T20:50:00Z,2018-05-08T20:51:00Z,2018-05-08T20:50:40Z,west,C,51.62

#datatype,string,long
,error,reference,query terminated: reached maximum allowed memory limits,576