feat: update links

infinyon · Jun 4, 2024 · 08d014b · 08d014b
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diff --git a/docs/sdf/dataflow-composition.mdx b/docs/sdf/dataflow-composition.mdx
@@ -488,7 +488,7 @@ fluvio topic delete words
 * <a href="https://github.com/infinyon/stateful-dataflows-examples/" target="_blank">Example Workflows in github</a>
 
 
-[Inline Dataflows]: /sdf/inline-dataflows/
-[Dataflow file]: /sdf/dataflow-file/
+[Inline Dataflows]: /sdf/dataflow-inline/
+[Dataflow file]: /sdf/dataflow-yaml/
 [SDF]: /sdf
 [github]: https://github.com/infinyon/stateful-dataflows-examples/tree/main/dataflows-composed/split-sentence
diff --git a/docs/sdf/polars.mdx b/docs/sdf/polars.mdx
@@ -7,7 +7,7 @@ slug: /sdf/polars
 
 The [polars](https://pola.rs) are built-in adaptors that can be used to perform data manipulation and transformation on dataframes.  Polars adaptor is enabled for operators that can access dataframe states and you don't need to add any flag in your operator definition.
 
-The polars [rust api](https://docs.rs/polars/0.36.2/polars/index.html) can be used when dataframe state is available.  For example, following snippet show performing polar operator on state that return dataframe.  Please refer to states [states](/docs/stateful-dataflows/states) section for more details.
+The polars [rust api](https://docs.rs/polars/0.36.2/polars/index.html) can be used when dataframe state is available.  For example, following snippet show performing polar operator on state that return dataframe.  Please refer to states [states](/sdf/states) section for more details.
 
 In here, `count_per_word` is a state that returns a [dataframe](https://docs.rs/polars/latest/polars/frame/struct.DataFrame.html) and assign to variable `df`.  Then any dataframe operation can be performed on `df` variable.
 

diff --git a/docs/sdf/sdf-cli.mdx b/docs/sdf/sdf-cli.mdx
@@ -340,5 +340,5 @@ bye!
 ### References
 * [dataflow.yaml]
 
-[Fluvio Version Manager (fvm)]: /tutorials/install
+[Fluvio Version Manager (fvm)]: /#install-fluvio
 [dataflow.yaml]: /sdf/dataflow-yaml
diff --git a/docs/sdf/services.mdx b/docs/sdf/services.mdx
@@ -327,7 +327,7 @@ Check out <a href="https://github.com/infinyon/stateful-dataflows-examples/tree/
 [Operators Section]: /sdf/operators
 [dataflow.yaml]: /sdf/dataflow-yaml
 [sdf-package.yaml]: /sdf/sdf-package
-[timestamp operator section]: /sdf/#assign-timestamp"
+[timestamp operator section]: /sdf/operators#assign-timestamp
 [Apache Arrow format]: https://docs.rs/arrow/latest/arrow/
 [Polars]: https://pola.rs/
 [Stateful Dataflows Examples]: https://github.com/infinyon/stateful-dataflows-examples

diff --git a/docs/sdf/states.mdx b/docs/sdf/states.mdx
@@ -57,7 +57,7 @@ In this example, we used `increment` to add one to the previous value.
 
 ## Table States
 
-The table state has a partition `key` and a value of `arrow-row` type. The arrow type may look familiar, as it is a mapping of the [arrow dataframe type]. These dataframes are portable with several full features libraries such as [Polars]. Fluvio uses [adapters] to map dataframes with with a these libraries.
+The table state has a partition `key` and a value of `arrow-row` type. The arrow type may look familiar, as it is a mapping of the [arrow dataframe type]. These dataframes are portable with several full features libraries such as [Polars]. Fluvio uses adapters to map dataframes with with a these libraries.
 
 ```yaml
 transforms:
@@ -180,5 +180,4 @@ The `car-color-state` is now usable in any of the steps of the `cars-prediction-
 
 [arrow dataframe type]: https://docs.rs/arrow/latest/arrow/
 [Polars]: https://pola.rs/
-[adapters]: /sdf/adapters
 [window operations]: /sdf/operators#window-operators