Hi, As you have explained the importance of the partition and data split for time series data retrieval, I have below query or limitation at this moment for implementing one of our use case.
For date time data, in kudu we use Timestamp datatype and obviously we can do the partitioning on it. But, if we need to fetch the timestamp based data from Impala for adhoc analysis it gives us an error like the integration in Impala is missing and I guess you will be implementing it in Kimpala merge. Q: Can I fetch the kudu Timestamp data from Tableu/Pentaho for reporting and analytics purpose or I need Int64 datatype only. Q: Are you going to provide the Kimpala merge or kudu timestamp support in Impala/Tableu in near future. Q: At this moment, instead of Timestamp we are using Int64 type in kudu, will it be equally helpful for performance, if we use the partition and split by explanation given for timestamp datatype? e.g. can we get a better performance for a composite key on a given kudu table defined as 'metric(s),Int64(has timestamp data) and with a partition on Int64 column with Split by clause? Thanks, Amit On Sat, May 7, 2016 at 9:20 PM, Dan Burkert <d...@cloudera.com> wrote: > Hi Sand, > > I've been working on some diagrams to help explain some of the more > advanced partitioning types, it's attached. Still pretty rough at this > point, but the goal is to clean it up and move it into the Kudu > documentation proper. I'm interested to hear what kind of time series you > are interested in Kudu for. I'm tasked with improving Kudu for time > series, you can follow progress here > <https://issues.apache.org/jira/browse/KUDU-1306>. If you have any > additional ideas I'd love to hear them. You may also be interested in a > small project that a JD and I have been working on in the past week to > build an OpenTSDB style store on top of Kudu, you can find it here > <https://github.com/danburkert/kudu-ts>. Still quite feature limited at > this point. > > - Dan > > On Fri, May 6, 2016 at 4:51 PM, Sand Stone <sand.m.st...@gmail.com> wrote: > >> Thanks. Will read. >> >> Given that I am researching time series data, row locality is crucial :-) >> >> >> On Fri, May 6, 2016 at 3:57 PM, Jean-Daniel Cryans <jdcry...@apache.org> >> wrote: >> >>> We do have non-covering range partitions coming in the next few months, >>> here's the design (in review): >>> http://gerrit.cloudera.org:8080/#/c/2772/9/docs/design-docs/non-covering-range-partitions.md >>> >>> The "Background & Motivation" section should give you a good idea of why >>> I'm mentioning this. >>> >>> Meanwhile, if you don't need row locality, using hash partitioning could >>> be good enough. >>> >>> J-D >>> >>> On Fri, May 6, 2016 at 3:53 PM, Sand Stone <sand.m.st...@gmail.com> >>> wrote: >>> >>>> Makes sense. >>>> >>>> Yeah it would be cool if users could specify/control the split rows >>>> after the table is created. Now, I have to "think ahead" to pre-create the >>>> range buckets. >>>> >>>> On Fri, May 6, 2016 at 3:49 PM, Jean-Daniel Cryans <jdcry...@apache.org >>>> > wrote: >>>> >>>>> You will only get 1 tablet and no data distribution, which is bad. >>>>> >>>>> That's also how HBase works, but it will split regions as you insert >>>>> data and eventually you'll get some data distribution even if it doesn't >>>>> start in an ideal situation. Tablet splitting will come later for Kudu. >>>>> >>>>> J-D >>>>> >>>>> On Fri, May 6, 2016 at 3:42 PM, Sand Stone <sand.m.st...@gmail.com> >>>>> wrote: >>>>> >>>>>> One more questions, how does the range partition work if I don't >>>>>> specify the split rows? >>>>>> >>>>>> Thanks! >>>>>> >>>>>> On Fri, May 6, 2016 at 3:37 PM, Sand Stone <sand.m.st...@gmail.com> >>>>>> wrote: >>>>>> >>>>>>> Thanks, Misty. The "advanced" impala example helped. >>>>>>> >>>>>>> I was just reading the Java API,CreateTableOptions.java, it's >>>>>>> unclear how the range partition column names associated with the partial >>>>>>> rows params in the addSplitRow API. >>>>>>> >>>>>>> On Fri, May 6, 2016 at 3:08 PM, Misty Stanley-Jones < >>>>>>> mstanleyjo...@cloudera.com> wrote: >>>>>>> >>>>>>>> Hi Sand, >>>>>>>> >>>>>>>> Please have a look at >>>>>>>> http://getkudu.io/docs/kudu_impala_integration.html#partitioning_tables >>>>>>>> and see if it is helpful to you. >>>>>>>> >>>>>>>> Thanks, >>>>>>>> Misty >>>>>>>> >>>>>>>> On Fri, May 6, 2016 at 2:00 PM, Sand Stone <sand.m.st...@gmail.com> >>>>>>>> wrote: >>>>>>>> >>>>>>>>> Hi, I am new to Kudu. I wonder how the split rows work. I know >>>>>>>>> from some docs, this is currently for pre-creation the table. I am >>>>>>>>> researching how to partition (hash+range) some time series test data. >>>>>>>>> >>>>>>>>> Is there an example? or notes somewhere I could read upon. >>>>>>>>> >>>>>>>>> Thanks much. >>>>>>>>> >>>>>>>> >>>>>>>> >>>>>>> >>>>>> >>>>> >>>> >>> >> > -- Thanks & Regards, *Amit Adhau* | Data Architect *GLOBANT* | IND:+91 9821518132 [image: Facebook] <https://www.facebook.com/Globant> [image: Twitter] <http://www.twitter.com/globant> [image: Youtube] <http://www.youtube.com/Globant> [image: Linkedin] <http://www.linkedin.com/company/globant> [image: Pinterest] <http://pinterest.com/globant/> [image: Globant] <http://www.globant.com/> -- The information contained in this e-mail may be confidential. It has been sent for the sole use of the intended recipient(s). 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