Return-Path: X-Original-To: archive-asf-public-internal@cust-asf2.ponee.io Delivered-To: archive-asf-public-internal@cust-asf2.ponee.io Received: from cust-asf.ponee.io (cust-asf.ponee.io [163.172.22.183]) by cust-asf2.ponee.io (Postfix) with ESMTP id 81E0D200C2A for ; Wed, 1 Mar 2017 14:00:04 +0100 (CET) Received: by cust-asf.ponee.io (Postfix) id 80794160B70; Wed, 1 Mar 2017 13:00:04 +0000 (UTC) Delivered-To: archive-asf-public@cust-asf.ponee.io Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by cust-asf.ponee.io (Postfix) with SMTP id C1504160B5E for ; Wed, 1 Mar 2017 14:00:03 +0100 (CET) Received: (qmail 74323 invoked by uid 500); 1 Mar 2017 12:59:55 -0000 Mailing-List: contact issues-help@flink.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Reply-To: dev@flink.apache.org Delivered-To: mailing list issues@flink.apache.org Received: (qmail 74219 invoked by uid 99); 1 Mar 2017 12:59:49 -0000 Received: from pnap-us-west-generic-nat.apache.org (HELO spamd2-us-west.apache.org) (209.188.14.142) by apache.org (qpsmtpd/0.29) with ESMTP; Wed, 01 Mar 2017 12:59:49 +0000 Received: from localhost (localhost [127.0.0.1]) by spamd2-us-west.apache.org (ASF Mail Server at spamd2-us-west.apache.org) with ESMTP id 6ED241A7B73 for ; Wed, 1 Mar 2017 12:59:49 +0000 (UTC) X-Virus-Scanned: Debian amavisd-new at spamd2-us-west.apache.org X-Spam-Flag: NO X-Spam-Score: -1.547 X-Spam-Level: X-Spam-Status: No, score=-1.547 tagged_above=-999 required=6.31 tests=[KAM_ASCII_DIVIDERS=0.8, RP_MATCHES_RCVD=-2.999, SPF_NEUTRAL=0.652] autolearn=disabled Received: from mx1-lw-us.apache.org ([10.40.0.8]) by localhost (spamd2-us-west.apache.org [10.40.0.9]) (amavisd-new, port 10024) with ESMTP id f-vvKYIZCnm2 for ; Wed, 1 Mar 2017 12:59:48 +0000 (UTC) Received: from mailrelay1-us-west.apache.org (mailrelay1-us-west.apache.org [209.188.14.139]) by mx1-lw-us.apache.org (ASF Mail Server at mx1-lw-us.apache.org) with ESMTP id 75DC85F254 for ; Wed, 1 Mar 2017 12:59:48 +0000 (UTC) Received: from jira-lw-us.apache.org (unknown [207.244.88.139]) by mailrelay1-us-west.apache.org (ASF Mail Server at mailrelay1-us-west.apache.org) with ESMTP id 8752BE04FE for ; Wed, 1 Mar 2017 12:59:45 +0000 (UTC) Received: from jira-lw-us.apache.org (localhost [127.0.0.1]) by jira-lw-us.apache.org (ASF Mail Server at jira-lw-us.apache.org) with ESMTP id 3EB272415A for ; Wed, 1 Mar 2017 12:59:45 +0000 (UTC) Date: Wed, 1 Mar 2017 12:59:45 +0000 (UTC) From: "ASF GitHub Bot (JIRA)" To: issues@flink.apache.org Message-ID: In-Reply-To: References: Subject: [jira] [Commented] (FLINK-5768) Apply new aggregation functions for datastream and dataset tables MIME-Version: 1.0 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: 7bit X-JIRA-FingerPrint: 30527f35849b9dde25b450d4833f0394 archived-at: Wed, 01 Mar 2017 13:00:04 -0000 [ https://issues.apache.org/jira/browse/FLINK-5768?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15890109#comment-15890109 ] ASF GitHub Bot commented on FLINK-5768: --------------------------------------- Github user shaoxuan-wang commented on the issue: https://github.com/apache/flink/pull/3423 Thanks @fhueske , I updated the PR which has limited the batch merge to 16 rows, please take a look. This PR is primarily dedicated to change the dataStream and DataSet to use new aggregate Interface. I noted down all your other value suggestions, I will definitely address them in the next PRs for UDAGG. > Apply new aggregation functions for datastream and dataset tables > ----------------------------------------------------------------- > > Key: FLINK-5768 > URL: https://issues.apache.org/jira/browse/FLINK-5768 > Project: Flink > Issue Type: Sub-task > Components: Table API & SQL > Reporter: Shaoxuan Wang > Assignee: Shaoxuan Wang > > Apply new aggregation functions for datastream and dataset tables > This includes: > 1. Change the implementation of the DataStream aggregation runtime code to use new aggregation functions and aggregate dataStream API. > 2. DataStream will be always running in incremental mode, as explained in 06/Feb/2017 in FLINK5564. > 2. Change the implementation of the Dataset aggregation runtime code to use new aggregation functions. > 3. Clean up unused class and method. -- This message was sent by Atlassian JIRA (v6.3.15#6346)