[jira] [Updated] (FLINK-2148) Approximately calculate the number of distinct elements of a stream
[ https://issues.apache.org/jira/browse/FLINK-2148?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Konstantin Knauf updated FLINK-2148: Labels: approximate auto-unassigned statistics (was: approximate auto-closed auto-unassigned statistics) Priority: Not a Priority (was: Minor) > Approximately calculate the number of distinct elements of a stream > --- > > Key: FLINK-2148 > URL: https://issues.apache.org/jira/browse/FLINK-2148 > Project: Flink > Issue Type: New Feature > Components: API / DataStream >Reporter: Gábor Gévay >Priority: Not a Priority > Labels: approximate, auto-unassigned, statistics > > In the paper > http://people.seas.harvard.edu/~minilek/papers/f0.pdf > Kane et al. describes an optimal algorithm for estimating the number of > distinct elements in a data stream. -- This message was sent by Atlassian Jira (v8.3.4#803005)
[jira] [Updated] (FLINK-2148) Approximately calculate the number of distinct elements of a stream
[ https://issues.apache.org/jira/browse/FLINK-2148?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Flink Jira Bot updated FLINK-2148: -- Labels: approximate stale-assigned stale-minor statistics (was: approximate stale-minor statistics) > Approximately calculate the number of distinct elements of a stream > --- > > Key: FLINK-2148 > URL: https://issues.apache.org/jira/browse/FLINK-2148 > Project: Flink > Issue Type: New Feature > Components: API / DataStream >Reporter: Gábor Gévay >Assignee: Gábor Gévay >Priority: Minor > Labels: approximate, stale-assigned, stale-minor, statistics > > In the paper > http://people.seas.harvard.edu/~minilek/papers/f0.pdf > Kane et al. describes an optimal algorithm for estimating the number of > distinct elements in a data stream. -- This message was sent by Atlassian Jira (v8.3.4#803005)
[jira] [Updated] (FLINK-2148) Approximately calculate the number of distinct elements of a stream
[ https://issues.apache.org/jira/browse/FLINK-2148?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Flink Jira Bot updated FLINK-2148: -- Labels: approximate stale-minor statistics (was: approximate statistics) > Approximately calculate the number of distinct elements of a stream > --- > > Key: FLINK-2148 > URL: https://issues.apache.org/jira/browse/FLINK-2148 > Project: Flink > Issue Type: New Feature > Components: API / DataStream >Reporter: Gábor Gévay >Assignee: Gábor Gévay >Priority: Minor > Labels: approximate, stale-minor, statistics > > In the paper > http://people.seas.harvard.edu/~minilek/papers/f0.pdf > Kane et al. describes an optimal algorithm for estimating the number of > distinct elements in a data stream. -- This message was sent by Atlassian Jira (v8.3.4#803005)
[jira] [Updated] (FLINK-2148) Approximately calculate the number of distinct elements of a stream
[ https://issues.apache.org/jira/browse/FLINK-2148?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Aljoscha Krettek updated FLINK-2148: Component/s: (was: Streaming) DataStream API > Approximately calculate the number of distinct elements of a stream > --- > > Key: FLINK-2148 > URL: https://issues.apache.org/jira/browse/FLINK-2148 > Project: Flink > Issue Type: New Feature > Components: DataStream API >Reporter: Gabor Gevay >Assignee: Gabor Gevay >Priority: Minor > Labels: approximate, statistics > > In the paper > http://people.seas.harvard.edu/~minilek/papers/f0.pdf > Kane et al. describes an optimal algorithm for estimating the number of > distinct elements in a data stream. -- This message was sent by Atlassian JIRA (v6.3.15#6346)
[jira] [Updated] (FLINK-2148) Approximately calculate the number of distinct elements of a stream
[ https://issues.apache.org/jira/browse/FLINK-2148?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Gabor Gevay updated FLINK-2148: --- Labels: approximate statistics (was: statistics) > Approximately calculate the number of distinct elements of a stream > --- > > Key: FLINK-2148 > URL: https://issues.apache.org/jira/browse/FLINK-2148 > Project: Flink > Issue Type: New Feature > Components: Streaming >Reporter: Gabor Gevay >Assignee: Gabor Gevay >Priority: Minor > Labels: approximate, statistics > > In the paper > http://people.seas.harvard.edu/~minilek/papers/f0.pdf > Kane et al. describes an optimal algorithm for estimating the number of > distinct elements in a data stream. -- This message was sent by Atlassian JIRA (v6.3.4#6332)
[jira] [Updated] (FLINK-2148) Approximately calculate the number of distinct elements of a stream
[ https://issues.apache.org/jira/browse/FLINK-2148?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Gabor Gevay updated FLINK-2148: --- Issue Type: New Feature (was: Sub-task) Parent: (was: FLINK-2142) > Approximately calculate the number of distinct elements of a stream > --- > > Key: FLINK-2148 > URL: https://issues.apache.org/jira/browse/FLINK-2148 > Project: Flink > Issue Type: New Feature > Components: Streaming >Reporter: Gabor Gevay >Assignee: Gabor Gevay >Priority: Minor > Labels: statistics > > In the paper > http://people.seas.harvard.edu/~minilek/papers/f0.pdf > Kane et al. describes an optimal algorithm for estimating the number of > distinct elements in a data stream. -- This message was sent by Atlassian JIRA (v6.3.4#6332)
