fix: fix docs for udf contribution (#175)

Author: jesrypandawa

docs/docs/contribute/add_udf.md

@@ -13,14 +13,14 @@ For adding custom UDFs follow these steps:
 - There are options for programming language you can choose for adding UDF, which is using Java, Scala and Python.
 
 - For adding UDF with Java/Scala:
-  - Follow [this]((https://nightlies.apache.org/flink/flink-docs-release-1.14/docs/dev/table/functions/udfs/)) for more insights on writing your UDF.
+  - Follow [this](https://nightlies.apache.org/flink/flink-docs-release-1.14/docs/dev/table/functions/udfs/) for more insights on writing your UDF.
   - UDF needs to be added in the `function-type` folder inside [this](https://github.com/odpf/dagger/tree/main/dagger-functions/src/main/java/io/odpf/dagger/functions/udfs) on `dagger-functions` subproject.
   - Extend either of [ScalarUdf](https://github.com/odpf/dagger/blob/main/dagger-common/src/main/java/io/odpf/dagger/common/udfs/ScalarUdf.java), [TableUdf](https://github.com/odpf/dagger/blob/main/dagger-common/src/main/java/io/odpf/dagger/common/udfs/TableUdf.java) or [AggregateUdf](https://github.com/odpf/dagger/blob/main/dagger-common/src/main/java/io/odpf/dagger/common/udfs/AggregateUdf.java) from `dagger-common`. They are boilerplate contracts extending Flink UDF classes. These classes do some more preprocessing(like exposing some metrics) in the `open` method behind the scene.
   - Register the UDF in [this](https://github.com/odpf/dagger/blob/main/dagger-functions/src/main/java/io/odpf/dagger/functions/udfs/factories/FunctionFactory.java) class. This is required to let Flink know about your function.
   - If you have some business-specific use-cases and you don't want to add UDFs to the open-sourced repo, you can have a separate local codebase for those UDFs. Those UDFs need to be registered in a similar class like the [`UDFFactory`](https://github.com/odpf/dagger/blob/main/dagger-common/src/main/java/io/odpf/dagger/common/udfs/UdfFactory.java). Keep both the UDF classes and the factory class in the classpath of Dagger. Configure the fully qualified Factory class in the `FUNCTION_FACTORY_CLASSES` parameter and you will be able to use the desired UDF in your query.
 
 - For adding UDF with Python:
-  - Follow [this]((https://nightlies.apache.org/flink/flink-docs-release-1.14/docs/dev/python/table/udfs/overview/)) for more insights on writing your UDF.
+  - Follow [this](https://nightlies.apache.org/flink/flink-docs-release-1.14/docs/dev/python/table/udfs/overview/) for more insights on writing your UDF.
   - UDF need to be added inside [this](https://github.com/odpf/dagger/tree/main/dagger-py-functions/udfs) on `dagger-py-functions` directory.
   - Ensure that the filename and method name on the python functions is the same. This name will be registered by dagger as a function name which later can be used on the query.
   - Ensure to add dependency needed for the python function on the [requirements.txt](https://github.com/odpf/dagger/tree/main/dagger-py-functions/requirements.txt) file.

version.txt

@@ -1 +1 @@
-0.2.10
+0.3.0