Property reference

com.glide.csv.loader.ignore_non_parseable_lines

The property com.glide.csv.loader.ignore_non_parseable_lines allows the system to skip rows with bad data during CSV imports. By default, the import fails on the first error, so enabling this property can help streamline data import processes.

Default
false
Type
boolean
Application
Not stated

Key questions about this property

The answers below summarize the purpose, scope, default effect, and review scenarios for this property.

What does it do? This property enables the instance to ignore rows in a CSV import that contain errors, such as missing data, preventing import failures.
What area does it affect? CSV import functionality
What does the default mean? The default value is "false", which means this behavior is disabled by default.
When should you review it? Review this property when configuring CSV imports to improve error handling.

Property record

Facts stated in the ServiceNow documentation. No out of the box record has been read from an instance yet.

Property name com.glide.csv.loader.ignore_non_parseable_lines
Type boolean
Application Not stated
Default value false
Description Not stated

Sources

Official references and nearby text excerpts where this property appears.

Context preview Snippet 1
... companies with which they are associated. 4393 This property has a maximum value of 500,000. • Type: Integer • Default value: 100,000 • Location: Add a system property CSV properties com.glide.csv.loader.ignore_non_parseable_lines Allows an instance to ignore one or more lines (rows) that contain bad data in a CSV import, such as a row that is missing a column of data. By ...
Context preview Snippet 2
... in an instance. For more information, see Set safe content security policy for SVG files . • Type: true | false • Default: true • Location: System Properties [sys_properties] table com.glide.csv.loader.ignore_non_parseable_lines Enables (true) or disables (false) ignoring one or more lines (rows) in an import set that contains bad data, such as a row that is missing a column of data. ...

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