You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: articles/iot-operations/connect-to-cloud/concept-dataflow-graphs.md
+7-7Lines changed: 7 additions & 7 deletions
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -41,15 +41,15 @@ For new projects that use supported endpoint types, we recommend data flow graph
41
41
42
42
Each transform is a pre-built processing step that you configure with rules and chain with other transforms inside a `DataflowGraph` resource.
43
43
44
-
| Transform | What it does | Learn more |
44
+
<!--| Transform | What it does | Learn more |
45
45
|-----------|-------------|------------|
46
46
| **Map** | Rename, restructure, compute, and copy fields | [Transform data with map](howto-dataflow-graphs-map.md) |
47
47
| **Filter** | Drop messages that match a condition | [Filter and route data](howto-dataflow-graphs-filter-route.md) |
48
48
| **Branch** | Route each message to a `true` or `false` path based on a condition | [Filter and route data](howto-dataflow-graphs-filter-route.md#branch-transform) |
49
49
| **Concat** | Merge two or more paths back into one | [Filter and route data](howto-dataflow-graphs-filter-route.md#merge-paths-with-concat) |
50
-
|**Window**| Collect messages over a time interval, then aggregate |[Aggregate data over time](howto-dataflow-graphs-window.md)|
50
+
| **Window** | Collect messages over a time interval, then aggregate | [Aggregate data over time](howto-dataflow-graphs-window.md) |-->
51
51
52
-
All transforms share an [expression language](concept-dataflow-graphs-expressions.md) for operators, functions, and field references. You can also [enrich](howto-dataflow-graphs-enrich.md) messages with external data from a state store in map, filter, and branch transforms.
52
+
<!--All transforms share an [expression language](concept-dataflow-graphs-expressions.md) for operators, functions, and field references. You can also [enrich](howto-dataflow-graphs-enrich.md) messages with external data from a state store in map, filter, and branch transforms.-->
53
53
54
54
## How transforms compose
55
55
@@ -77,7 +77,7 @@ Here's a complete example that reads temperature data from an MQTT topic, conver
77
77
78
78
# [Operations experience](#tab/portal)
79
79
80
-

80
+
<!-- -->
81
81
82
82
In the Operations experience:
83
83
@@ -190,7 +190,7 @@ spec:
190
190
191
191
The pipeline defines three elements: a source, a transform (indicated by `nodeType: Graph`), and a destination. The connections describe how data flows between them. The transform's `configuration` passes rules as a JSON string under the `rules` key.
192
192
193
-
In the how-to articles that follow, examples focus on the transform rules themselves. For a step-by-step guide to creating a data flow graph, see [Create a data flow graph](howto-create-dataflow-graph.md).
193
+
<!-- In the how-to articles that follow, examples focus on the transform rules themselves. For a step-by-step guide to creating a data flow graph, see [Create a data flow graph](howto-create-dataflow-graph.md). -->
194
194
195
195
## Built-in transforms vs. WASM transforms
196
196
@@ -231,7 +231,7 @@ To use data flow graphs, you need:
231
231
232
232
## Next steps
233
233
234
-
- [Data flows vs. data flow graphs](overview-dataflow-comparison.md)
234
+
<!-- - [Data flows vs. data flow graphs](overview-dataflow-comparison.md)
235
235
- [Create a data flow graph](howto-create-dataflow-graph.md)
236
236
- [Transform data with map](howto-dataflow-graphs-map.md)
237
237
- [Filter and route data](howto-dataflow-graphs-filter-route.md)
@@ -240,4 +240,4 @@ To use data flow graphs, you need:
Copy file name to clipboardExpand all lines: articles/iot-operations/connect-to-cloud/howto-configure-dataflow-destination.md
+6-6Lines changed: 6 additions & 6 deletions
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -230,7 +230,7 @@ In data flow graphs, you can set the destination topic dynamically based on mess
230
230
231
231
This approach is more flexible than source topic routing because it lets you set the destination topic based on any field or computed value in the message, not just the source topic structure.
232
232
233
-
For more information and complete examples, see [Route messages to different topics](howto-dataflow-graphs-topic-routing.md).
233
+
<!-- For more information and complete examples, see [Route messages to different topics](howto-dataflow-graphs-topic-routing.md). -->
234
234
235
235
## Serialize the output with a schema
236
236
@@ -247,7 +247,7 @@ Specify the schema and serialization format in the data flow endpoint details. T
247
247
248
248
# [Azure CLI](#tab/cli)
249
249
250
-
After you [upload a schema to the schema registry](concept-schema-registry.md#upload-a-schema), reference it in the data flow configuration.
250
+
<!-- After you [upload a schema to the schema registry](concept-schema-registry.md#upload-a-schema), reference it in the data flow configuration. -->
251
251
252
252
```json
253
253
{
@@ -260,7 +260,7 @@ After you [upload a schema to the schema registry](concept-schema-registry.md#up
260
260
261
261
# [Bicep](#tab/bicep)
262
262
263
-
After you [upload a schema to the schema registry](concept-schema-registry.md#upload-a-schema), reference it in the data flow configuration.
263
+
<!-- After you [upload a schema to the schema registry](concept-schema-registry.md#upload-a-schema), reference it in the data flow configuration. -->
0 commit comments