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https://issues.apache.org/jira/browse/NIFI-4105?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16068138#comment-16068138
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ASF GitHub Bot commented on NIFI-4105:
--------------------------------------
Github user ggthename commented on a diff in the pull request:
https://github.com/apache/nifi/pull/1937#discussion_r124765427
--- Diff:
nifi-nar-bundles/nifi-cassandra-bundle/nifi-cassandra-processors/src/main/java/org/apache/nifi/processors/cassandra/QueryCassandra.java
---
@@ -75,19 +81,64 @@
@Tags({"cassandra", "cql", "select"})
@EventDriven
@InputRequirement(InputRequirement.Requirement.INPUT_ALLOWED)
-@CapabilityDescription("Execute provided Cassandra Query Language (CQL)
select query on a Cassandra 1.x, 2.x, or 3.0.x cluster. Query result "
- + "may be converted to Avro or JSON format. Streaming is used so
arbitrarily large result sets are supported. This processor can be "
+@CapabilityDescription("Executes provided Cassandra Query Language (CQL)
select query on a Cassandra to fetch all rows whose values"
--- End diff --
Thank you for your wording! I really appreciate it.
I think it is a little different from GenerateTableFetch. Because
GenerateTableFetch use various kinds of DatabaseAdapter for RDB. They usually
use "ORDER BY" keyword.
But Cassandra does not have this feature. And It has specialized structure
based on Column Family, not Row
So I built this processor with range query.
> support the specified Maximum value column and CSV Stream for Cassandra
> -----------------------------------------------------------------------
>
> Key: NIFI-4105
> URL: https://issues.apache.org/jira/browse/NIFI-4105
> Project: Apache NiFi
> Issue Type: Improvement
> Components: Extensions
> Affects Versions: 1.3.0
> Reporter: Yoonwon Ko
>
> I'm trying to find a CassandraProcessor to fetch rows whose values in the
> specified Maximum Value columns are larger than the previously-seen maximum
> like QueryDatabaseTable.
> But I found only QueryCassandra. It just executes same CQL everytime without
> keeping maximum value.
> and I think we also need convertToCsvStream option.
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