How to create a dataset based on the schema that you enter manually.
Test datasets are useful for supplying a fixed set of values without requiring a
real-life record store, making them simple to try out the product.
Procedure
-
Go to .
-
In the Add a new dataset
panel, give a name to your Test dataset.
-
Select the Test connection you have previously created in which you want to add
your data.
-
Select the format of your data:
-
CSV: in that case the expected format for the schema
fields is the following:
- must begin with [A-Za-z_] characters
- can only contain [A-Za-z0-9_] characters
- can only be separated by semicolons
Example:
First_Name;Last_Name;Phone1;Phone2;Address;State;Company
Note: If you do not specify a format, a generic one will be created by
default.
-
JSON: in that case you must respect a specific format for
your JSON values and be consistent: sequence of records, one after another,
separated, or not, by a line feed. Each record does not need to be on a single
line. At the end, the data in the text area is not a typical
JSON document with square brackets.
Example:
{
"Id": 3146717,
"PosTime": 1525097499899,
"Latitude": 48.8585,
"Longitude": 2.4921,
"Operator": "Air France"
}
{
"Id": 3757865,
"PosTime": 1525097474634,
"Latitude": 48.5018,
"Longitude": 2.2246,
"Operator": "Lufthansa"
}
-
AVRO: in that case you also must enter the schema of your
Avro records, which is a JSON document with a specific syntax described in the Avro Apache documentation.
-
In the Values area, type in or paste your data.
The size of your data cannot exceed 32 kilobytes.
-
(Optional) Click View sample to check that your data is
valid.
-
Click Validate to save your dataset.
Results
You are redirected to the dataset Overview panel where
different information and metadata are displayed.
To visualize and understand the content
of the dataset, open the Sample panel. You can then check that
your data is valid.
