Replace this use of System.out or System.err by a logger. Open
System.out.println(String.format("Deleting token %s for organization %s", tokenID, orgReference));
- Read upRead up
- Exclude checks
When logging a message there are several important requirements which must be fulfilled:
- The user must be able to easily retrieve the logs
- The format of all logged message must be uniform to allow the user to easily read the log
- Logged data must actually be recorded
- Sensitive data must only be logged securely
If a program directly writes to the standard outputs, there is absolutely no way to comply with those requirements. That's why defining and using a dedicated logger is highly recommended.
Noncompliant Code Example
System.out.println("My Message"); // Noncompliant
Compliant Solution
logger.log("My Message");
See
- CERT, ERR02-J. - Prevent exceptions while logging data
Replace this use of System.out or System.err by a logger. Open
System.out.println(String.format("Connecting to API service at: %s", apiService));
- Read upRead up
- Exclude checks
When logging a message there are several important requirements which must be fulfilled:
- The user must be able to easily retrieve the logs
- The format of all logged message must be uniform to allow the user to easily read the log
- Logged data must actually be recorded
- Sensitive data must only be logged securely
If a program directly writes to the standard outputs, there is absolutely no way to comply with those requirements. That's why defining and using a dedicated logger is highly recommended.
Noncompliant Code Example
System.out.println("My Message"); // Noncompliant
Compliant Solution
logger.log("My Message");
See
- CERT, ERR02-J. - Prevent exceptions while logging data
Replace this use of System.out or System.err by a logger. Open
System.out.println("Successfully deleted Token");
- Read upRead up
- Exclude checks
When logging a message there are several important requirements which must be fulfilled:
- The user must be able to easily retrieve the logs
- The format of all logged message must be uniform to allow the user to easily read the log
- Logged data must actually be recorded
- Sensitive data must only be logged securely
If a program directly writes to the standard outputs, there is absolutely no way to comply with those requirements. That's why defining and using a dedicated logger is highly recommended.
Noncompliant Code Example
System.out.println("My Message"); // Noncompliant
Compliant Solution
logger.log("My Message");
See
- CERT, ERR02-J. - Prevent exceptions while logging data
Replace this use of System.out or System.err by a logger. Open
System.err.println("Error deleting token: " + response.getStatusLine().getReasonPhrase());
- Read upRead up
- Exclude checks
When logging a message there are several important requirements which must be fulfilled:
- The user must be able to easily retrieve the logs
- The format of all logged message must be uniform to allow the user to easily read the log
- Logged data must actually be recorded
- Sensitive data must only be logged securely
If a program directly writes to the standard outputs, there is absolutely no way to comply with those requirements. That's why defining and using a dedicated logger is highly recommended.
Noncompliant Code Example
System.out.println("My Message"); // Noncompliant
Compliant Solution
logger.log("My Message");
See
- CERT, ERR02-J. - Prevent exceptions while logging data
Similar blocks of code found in 2 locations. Consider refactoring. Wontfix
try (final CloseableHttpClient httpClient = HttpClients.createDefault()) {
final URIBuilder builder = new URIBuilder(String.format("%s/delete-token", apiService));
builder.setParameter("organization", new IdType(orgReference).getIdPart());
builder.setParameter("token", tokenID);
final HttpPost tokenDelete = new HttpPost(builder.build());
- Read upRead up
Duplicated Code
Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:
Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.
When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).
Tuning
This issue has a mass of 120.
We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.
The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.
If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.
See codeclimate-duplication
's documentation for more information about tuning the mass threshold in your .codeclimate.yml
.
Refactorings
- Extract Method
- Extract Class
- Form Template Method
- Introduce Null Object
- Pull Up Method
- Pull Up Field
- Substitute Algorithm
Further Reading
- Don't Repeat Yourself on the C2 Wiki
- Duplicated Code on SourceMaking
- Refactoring: Improving the Design of Existing Code by Martin Fowler. Duplicated Code, p76