doris

Files

NetShrimp 0ec10d4836 [Enhancement](fe exception) write a java annotation to catch throwable from a method and print log (#17797 )

How it works?
Aspectj is used to implement the aspect function of annotations. During the compilation process, the aspectj-maven-plugin plugin will automatically weave the code with aspect annotations into the generated classes file.
When to use to?
When a method wants to add a try catch to save exception information, the LogException annotation can be used. When there is a method that does not allow errors, the NoException annotation can be used.
What is the result when adding this annotation?
Use the LogException annotation to automatically capture exceptions into the Log file, and the code can be more concise. Use the NoException annotation to automatically capture the exception to the Log file and exit the program when an exception occurs.

2023-03-17 08:52:27 +08:00

check/checkstyle

[improvement](dry-run)(tvf) support csv schema in tvf and add "dry_run_query" variable (#16983 )

2023-03-02 16:51:27 +08:00

fe-common

[Enhancement](fe exception) write a java annotation to catch throwable from a method and print log (#17797 )

2023-03-17 08:52:27 +08:00

fe-core

[Enhancement](fe exception) write a java annotation to catch throwable from a method and print log (#17797 )

2023-03-17 08:52:27 +08:00

hive-udf

[chore](maven) Prefer protoc in thirdparty to the one in maven artifacts (#17596 )

2023-03-09 16:21:38 +08:00

java-udf

[Chore](third-party) upgrade thrift from 0.13 to 0.16 (#17202 )

2023-03-10 11:33:16 +08:00

spark-dpp

[fix](log) use logger to replace printStackTrace() (#17382 )

2023-03-03 14:51:30 +08:00

pom.xml

[Chore](third-party) upgrade thrift from 0.13 to 0.16 (#17202 )

2023-03-10 11:33:16 +08:00

README

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README

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#   http://www.apache.org/licenses/LICENSE-2.0
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# fe-common

This module is used to store some common classes of other modules.

# spark-dpp

This module is Spark DPP program, used for Spark Load function.
Depends: fe-common

# fe-core

This module is the main process module of FE.
Depends: fe-common, spark-dpp