On the Source data store page, select the newly created connection in the Connection block. You can preview the data in each destination by selecting the preview button at the end of each row.
Select the OHD to copy data from, and then select Next. Specify a filter, if you need one. You can preview the data by selecting Preview data button. Then select Next. On the Destination data store page, select the newly created connection in the Connection section, and enter copyfromopenhub as the output folder name. On the File format setting page, select Next to use the default settings. On the Settings page, specify a Task name , and expand Advanced.
On the Deployment page, select Monitor to monitor the pipeline. Notice that the Monitor tab on the left side of the page is automatically selected. You can use links under the Pipeline name column in the Pipeline runs page to view activity details and to rerun the pipeline. To view activity runs that are associated with the pipeline run, select links under the Pipeline name column.
There's only one activity copy activity in the pipeline, so you see only one entry. To switch back to the pipeline-runs view, select the All pipeline runs link at the top. Select Refresh to refresh the list. To monitor the execution details for each copy activity, select the Details link, which is an eyeglasses icon in the same row of each copy activity in the activity-monitoring view.
Available details include the data volume copied from the source to the sink, data throughput, execution steps and duration, and configurations used. To view the maximum Request ID of each copy activity, go back to the activity-monitoring view and select Output in the same row of each copy activity.
This article can also help you understand basic connector configuration. Incremental copy uses a "high-watermark" mechanism that's based on the request ID. The following diagram shows this workflow:. On the home page, select Pipeline templates in the Discover more section to use the built-in template. You can use a similar workflow to copy to other sink types. On the template's main page, select or create the following three connections, and then select Use this template in the lower-right corner of the window.
This template generates a pipeline with the following three activities and makes them chained on-success: Lookup , Copy Data , and Web. Go to the pipeline Parameters tab. You see all the configurations that you need to provide. If the container doesn't exist, the copy activity creates one during execution.
For a full list of sections and properties available for defining datasets, see the Datasets article. The following properties are supported. If you were setting excludeLastRequest and baseRequestId in dataset, it is still supported as-is, while you are suggested to use the new model in activity source going forward.
For a full list of sections and properties available for defining activities, see the Pipelines article. If your Open Hub table only contains the data generated by single request ID, for example, you always do full load and overwrite the existing data in the table, or you only run the DTP once for test, remember to uncheck the "excludeLastRequest" option in order to copy the data out.
When copying data into file-based data store, it's also recommanded to write to a folder as multiple files only specify folder name , in which case the performance is better than writing to a single file. See Schema and data type mappings to learn about how copy activity maps the source schema and data type to the sink. To learn details about the properties, check Lookup activity. For a list of data stores supported as sources and sinks by the copy activity, see supported data stores. Skip to main content.
This browser is no longer supported. Download Microsoft Edge More info. Contents Exit focus mode. Is this page helpful? Please rate your experience Yes No. Any additional feedback? Tip If your Open Hub table only contains the data generated by single request ID, for example, you always do full load and overwrite the existing data in the table, or you only run the DTP once for test, remember to uncheck the "excludeLastRequest" option in order to copy the data out.
Submit and view feedback for This product This page. View all page feedback. This function crawls all the subfolders of the project or folder that you specify and retrieves all the files that have not been downloaded. By default, the files will be downloaded into your synapseCache , but a different download location can be specified with the path parameter. If you do download to a location out side of synapseCache , this function will also create a tab-delimited manifest of all the files along with their metadata path, provenance, annotations, etc.
Need More Help? Ask a question in the Synapse Help Forum. Your feedback is key to improving our documentation, so contact us if something is unclear or open an issue. Please note, these errors can depend on your browser setup. Learn more. Contact Support Close. Downloading Files Before you begin, it is important to understand that most items in Synapse have a unique identifier associated with them.
Synapse syn. When downloading using the command line client, it will print the filepath of where the file was saved to. JavaScript errors. JavaScript errors detected Please note, these errors can depend on your browser setup.
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