Setting up an Output Format in Oracle Machine Learning’s Notebook

Oracle Machine Learning allows preformat query output in Notebooks.

Syntax:-

%script

SET SQLFORMAT format_option

Note: – This format is available for the script interpreter and must add prefix %script

1.. ANSICONSOLE format resizes the columns to the width of the data to save space and underlines the columns, instead of separate line of output.

%script

SET SQLFORMAT ANSICONSOLE

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2.. CSV format produces standard comma-separated variable output, with string values enclosed in double quotes.

%script

SET SQLFORMAT CSV

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3.. HTML format produces the HTML for a responsive table and content of the table changes dynamically to match the search string entered in the text field.

%sql

SET SQLFORMAT HTML

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4.. JSON format produces a JSON document containing the definitions od the columns along with the data that it contains.

%script

SET SQLFORMAT JSON

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5.. INSERT format produces the INSERT statements that could be used to recreate the rows in a table.

%script

SET SQLFORMAT INSERT

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6.. LOADER format produces pipe delimited output with string values enclosed in double quotes and column names are not included in the output.

%script

SET SQLFORMAT LOADER

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7.. FIXED is default option and it clears all previous SQLFORMAT settings and returns to the default output.

%script

SET SQLFORMAT FIXED

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8.. XML format produces a tag-based XML document and all data is presented as CDATA tags.

%script

SET SQLFORMAT XML

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9.. Delimited format allows you to manually define the delimiter string, and the characters that are enclosed in the strings values.

%sql

SQLFORMAT DELIMITED delimiter left_enclosure right_enclosure

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10.. Default option clears all previous SQLFORMAT settings and returns to the default output.

%script

SET SQLFORMAT DEFAULT

Note :-  Notebook version can be reverted ,delete selected version of your notebook, create new notebook from selected version of your notebook  and version of notebook can be created or maintained .

Happy Learning !!!!

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