output_paths
The results of executing SQL and Python source code are temporarily stored in the VM so that they can be used as input for subsequent processing.
The format of the stored results depends on the format of the result of the respective process. The output destination and format can also be changed by specifying the output_paths argument of the SQL config function or Python @morph.func
.
Output format
SQL
By default, it is saved as a .parquet
file. It is also possible to specify csv in the output_paths
.
Python
The format specified in the @morph.func
argument output_type or, if not specified, automatically deduced from the return value.
The format of the file to be saved depends on the type of the value returned by the function, as follows.
DataFrame
By default, it is saved as a .parquet
file. It is also possible to specify csv in output_paths
.
Plotly and Matplotlib charts.
By default, both .html
and .png
files are saved. It is also possible to limit the extension to be saved with output_paths
.
By specifying an output extension, such as output_paths=[‘_private/sample.png’]
, it can be changed so that only files with the specified extension are output.
For more information on how to code in the case of visualisation, see documentation here.
JSON
If the return value is a dict or list, it is saved as a .json
file.
markdown
If the return value is str and output_type
is markdown
, the file is saved as a .md
file.
Text
If the return value is str and no output_type
is specified in particular, it is saved as a .txt
file.
How to specify output_paths
You can specify output paths by specifying paths in output_paths
as follows.
Placeholders
In output_paths, the following placeholder can be used to allow dynamic specification of output destinations.
Placeholder | Description |
---|---|
name | Value of name specified in config , @morph.func |
now() | Output date in the format Y/M/D - H/M/S |
unix() | Time stamp (in milliseconds) |
ext() | Auto-estimated extensions |