IonToAvro
Convert an ION file into Avro.
type: "io.kestra.plugin.serdes.avro.IonToAvro"
Convert a CSV file to the Avro format.
id: divvy_tripdata
namespace: company.team
variables:
file_id: "{{ execution.startDate | dateAdd(-3, 'MONTHS') | date('yyyyMM') }}"
tasks:
- id: get_zipfile
type: io.kestra.plugin.core.http.Download
uri: "https://divvy-tripdata.s3.amazonaws.com/{{ render(vars.file_id) }}-divvy-tripdata.zip"
- id: unzip
type: io.kestra.plugin.compress.ArchiveDecompress
algorithm: ZIP
from: "{{ outputs.get_zipfile.uri }}"
- id: convert
type: io.kestra.plugin.serdes.csv.CsvToIon
from: "{{ outputs.unzip.files[render(vars.file_id) ~ '-divvy-tripdata.csv'] }}"
- id: to_avro
type: io.kestra.plugin.serdes.avro.IonToAvro
from: "{{ outputs.convert.uri }}"
datetimeFormat: "yyyy-MM-dd' 'HH:mm:ss"
schema: |
{
"type": "record",
"name": "Ride",
"namespace": "com.example.bikeshare",
"fields": [
{"name": "ride_id", "type": "string"},
{"name": "rideable_type", "type": "string"},
{"name": "started_at", "type": {"type": "long", "logicalType": "timestamp-millis"}},
{"name": "ended_at", "type": {"type": "long", "logicalType": "timestamp-millis"}},
{"name": "start_station_name", "type": "string"},
{"name": "start_station_id", "type": "string"},
{"name": "end_station_name", "type": "string"},
{"name": "end_station_id", "type": "string"},
{"name": "start_lat", "type": "double"},
{"name": "start_lng", "type": "double"},
{
"name": "end_lat",
"type": ["null", "double"],
"default": null
},
{
"name": "end_lng",
"type": ["null", "double"],
"default": null
},
{"name": "member_casual", "type": "string"}
]
}
Source file URI
Pebble expression referencing an Internal Storage URI e.g. {{ outputs.mytask.uri }}
.
yyyy-MM-dd[XXX]
Format to use when parsing date
yyyy-MM-dd'T'HH:mm[:ss][.SSSSSS][XXX]
Format to use when parsing datetime
Default value is yyyy-MM-dd'T'HH: mm[: ss][.SSSSSS]XXX
.
Character to recognize as decimal point (e.g. use ‘,’ for European data).
Default value is '.'
["f","false","disabled","0","off","no",""]
Values to consider as False
false
Try to infer all fields
If true, we try to infer all fields with trueValues
, trueValues
& nullValues
.If false, we will infer bool & null only on field declared on schema as null
and bool
.
["","#N/A","#N/A N/A","#NA","-1.#IND","-1.#QNAN","-NaN","1.#IND","1.#QNAN","NA","n/a","nan","null"]
Values to consider as null
100
Number of row that will be scanned while inferring. The bigger it is, the more precise the output schema will be.
Only use when 'schema' property is empty
The avro schema associated to the data
If empty the task will try to infer the schema from current data, you can use 'numberOfRowsToScan' property if needed
false
Whether to consider a field present in the data but not declared in the schema as an error
Default value is false
HH:mm[:ss][.SSSSSS][XXX]
Format to use when parsing time
Etc/UTC
Timezone to use when no timezone can be parsed on the source.
If null, the timezone will be UTC
Default value is system timezone
["t","true","enabled","1","on","yes"]
Values to consider as True
uri
URI of a temporary result file