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Fabian Hueske commented on FLINK-3664: -------------------------------------- Hi [~tlisonbee], I like this proposal a lot. It would be a great feature to add. A few comments on you proposal: - If possible use a {{CombineFunction}} instead of a {{GroupCombineFunction}}. {{CombineFunction}} can be executed using a hash-based execution strategy whereas {{GroupCombineFunction}} must be evaluated with a sort-based strategy. Hash-based combiners are not supported yet but will hopefully be added soon (see PR #1517). - We add new functionality such as {{summarize()}} to {{DataSetUtils}} and not directly to {{DataSet}}. {{DataSetUtils}} serves kind of as a staging area for new features where we are not sure yet whether we want to add them to the core API. - It is certainly possible to implement the feature as {{CustomUnaryOperation}} but it is also fine to directly call the API methods. - Do you think it makes sense to include (approximate) distinct counts for integer and String values or should this as a separate method? > Create a method to easily Summarize a DataSet > --------------------------------------------- > > Key: FLINK-3664 > URL: https://issues.apache.org/jira/browse/FLINK-3664 > Project: Flink > Issue Type: Improvement > Reporter: Todd Lisonbee > Attachments: DataSet-Summary-Design-March2016-v1.txt > > > Here is an example: > {code} > /** > * Summarize a DataSet of Tuples by collecting single pass statistics for all > columns > */ > public Tuple summarize() > Dataset<Tuple3<Double, String, Boolean>> input = // [...] > Tuple3<DoubleColumnSummary,StringColumnSummary,BooleanColumnSummary> summary > = input.summarize() > summary.getField(0).stddev() > summary.getField(1).maxStringLength() > {code} -- This message was sent by Atlassian JIRA (v6.3.4#6332)