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Original file line number Diff line number Diff line change
Expand Up @@ -97,7 +97,7 @@ For example if you have deployed a stream pipeline named `scdf-stream-traces` yo

![SCDF Wavefront](images/SCDF-stream-tracing-wavefront-search.png)

Push the the `Search` button and the Wavefront dashboards will show similar to the following image:
Push the `Search` button and the Wavefront dashboards will show similar to the following image:

![SCDF Tracing Wavefront](images/SCDF-stream-tracing-wavefront.png)

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Expand Up @@ -340,7 +340,7 @@ dataflow:>job execution display --id 1

#### Verify Data

When the the batch job runs, it processes the file in the local directory (`/tmp/local-files`), transforms each item to uppercase names, and inserts it into the database.
When the batch job runs, it processes the file in the local directory (`/tmp/local-files`), transforms each item to uppercase names, and inserts it into the database.

You can use any database tool that supports the H2 database to inspect the data.
In this example, we use the DBeaver database tool.
Expand Down Expand Up @@ -518,7 +518,7 @@ dataflow:>job execution display --id 1

#### Verify Data

When the the batch job runs, it processes the file in the local directory (`/var/scdf/shared-files`), transforms each item to uppercase names, and inserts it into the database.
When the batch job runs, it processes the file in the local directory (`/var/scdf/shared-files`), transforms each item to uppercase names, and inserts it into the database.

Use [PivotalMySQLWeb](https://github.com/pivotal-cf/PivotalMySQLWeb) to inspect the data.

Expand Down Expand Up @@ -713,7 +713,7 @@ dataflow:>job execution display --id 1

#### Verify Data

When the the batch job runs, it processes the file in the local directory (`/staging/shared-files`), transforms each item to uppercase names, and inserts it into the database.
When the batch job runs, it processes the file in the local directory (`/staging/shared-files`), transforms each item to uppercase names, and inserts it into the database.

Open a shell in the `mysql` container to query the `people` table:

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