[vc_row][vc_column][nz_btn text=”Software Resiliency” link=”http://casthighlight.wpengine.com/software-resiliency/” target=”_self” animate=”false” animation_type=”ghost” color=”black” size=”small” shape=”rounded” type=”normal” hover_normal=”fill” hover_ghost=”fill” icon=”icon-dashboard”][nz_btn text=”Programming Best Practices” target=”_self” animate=”false” animation_type=”ghost” color=”black” size=”small” shape=”rounded” type=”ghost” hover_normal=”fill” hover_ghost=”screen” link=”http://casthighlight.wpengine.com/category/product/indicators-methodology/code-insights/software-resiliency/programming-best-practices/” icon=”icon-code”][vc_empty_space height=”12px”][vc_row_inner][vc_column_inner width=”1/2″][vc_column_text pl=”0″ pr=”0″ pt=”0″ pb=”0″]

Why you should care

[/vc_column_text][vc_column_text pl=”0″ pr=”0″ pt=”0″ pb=”0″]Every constant, variable, and parameter has a datatype (or type) which specifies a storage format, constraints, and valid range of values. PL/SQL provides a variety of predefined datatypes which tend to be inefficient in nature.

It’s recommended to use efficient practices over inefficient types to ensure the code runs efficiently and interchangably across platforms. It also ensures that the code is not complex in the process
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Business Impacts

Using less efficient types is absolutely risky for the code because it’s name is certainly a giveaway. It is best practice to avoid less efficient types so that the code can be more productive.[/vc_column_text][nz_btn text=”Production Risk” target=”_self” animate=”false” animation_type=”ghost” color=”pink” size=”small” shape=”rounded” type=”normal” hover_normal=”opacity” hover_ghost=”fill” link=”http://casthighlight.wpengine.com/category/product/indicators-methodology/risk/” icon=”icon-office”][/vc_column_inner][/vc_row_inner][vc_empty_space height=”12px”][vc_empty_space height=”32px”][vc_single_image image=”5362″ img_link_large=”” img_link_target=”_self” img_size=”full” alignment=”none”][vc_row_inner][vc_column_inner width=”1/2″][vc_column_text pl=”0″ pr=”0″ pt=”0″ pb=”0″]

CAST Recommendations

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References

https://docs.oracle.com/cd/A97630_01/appdev.920/a96624/03_types.htm[/vc_column_text][nz_btn text=”Style Guide” target=”_self” animate=”false” animation_type=”ghost” color=”turquoise” size=”small” shape=”rounded” type=”ghost” hover_normal=”fill” hover_ghost=”fill” link=”https://github.com/Kristories/awesome-guidelines” icon=”icon-book”][/vc_column_inner][/vc_row_inner][vc_separator color=”grey” align=”align_center” style=”” border_width=”” el_width=””][vc_column_text pl=”0″ pr=”0″ pt=”0″ pb=”0″]

How we detect

[/vc_column_text][vc_column_text pl=”0″ pr=”0″ pt=”0″ pb=”0″]This code insight shows that PLS_INTEGER should be used for its efficiency, avoid type conversion, and constrained types when its possible.
PLS_INTEGER is defined in the STANDARD package as a subtype of BINARY_INTEGER. PLS_INTEGER operations use machine arithmetic, so they are generally faster than NUMBER and INTEGER operations. Also, prior to Oracle Database 10g, they are faster than BINARY_INTEGER. In Oracle Database 10g, however, BINARY_INTEGER and PLS_INTEGER are now identical and can be used interchangeably.
The types NATURALN and POSITIVEN are defined to be NOT NULL subtypes of NATURAL and POSITIVE, respectively; thus, you will incur the performance penalty described in the NotNullVariables alert description when you use them.[/vc_column_text][vc_row_inner][vc_column_inner width=”1/1″][vc_single_image image=”5362″ img_link_large=”” img_link_target=”_self” img_size=”full” alignment=”none”][vc_column_text pl=”0″ pr=”0″ pt=”0″ pb=”0″]

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