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07-16-2018
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10-10-2018
09:58 PM
@Ashwini Gupta Configure ExtractText processor as below: Enable DOTALL Mode
true Enable Multiline Mode
true And you need configure `Maximum Buffer Size,Maximum Capture Group Length` property values based on your flowfile size and how much you are trying to extract. Add new property as content (.*) Then check the content attribute will have all the content of flowfile as attribute value. **But i recommend not to keep entire content as attribute value because all attributes are hold in memory this will cause performance issues in NiFi. Refer to this link for more details regards to keeping too many attributes in the flow.
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10-10-2018
07:39 PM
For this I have used a python script to do the job but I wonder if it can be done with nifi expression langauge.
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07-25-2018
01:03 PM
Without a Maximum Value Column, both GTF and QDT will continue to pull the same data. Without a column for which we could figure out the "last" value, how would they know to pull the rows "since the last time"? Often an increasing ID or a "last updated" timestamp column is used as the Maximum Value Column. In NiFi 1.7.0 (via NIFI-5143) and in the upcoming HDF 3.2 release, you can use the values in a column for GenerateTableFetch (versus the concept of "row number"), but without a Maximum Value Column you still can't do incremental fetch. The alternative would be a Change Data Capture solution (CDC), but these are vendor-specific and currently only CaptureChangeMySQL exists (although there is a proposed addition of a MS SQL Server version).
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07-24-2018
03:55 PM
The solution provided by @Harald via link is good enough as a solution. The only prequesite is that the cluster should be on top of Azure Data Lake and not azure datastorage. If its a cluster then solution should be replicated on all nodes. If it's only Edge node then solution should only be applied only edge node. By solution I mean the solution in https://community.hortonworks.com/content/kbentry/71916/connecting-to-azure-data-lake-from-a-nifi-dataflow.html. Thanks
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