Hi Community,
OLTP systems like Mysql are used heavily for storing transactional data in
real-time and the same data is later used for doing fraud detection and
taking various data-driven business decisions. Since OLTP systems are not
suited for analytical queries due to their row-based storage,
Hi,
This is to just test the mailing list.
Regards,
Akash R
Hi All,
I submit the *Apache CarbonData 2.2.0(RC1) *for your vote.
*1. Release Notes:*
https://issues.apache.org/jira/secure/ReleaseNote.jspa?version=12347869=Html=12320220=Create_token=A5KQ-2QAV-T4JA-FDED_386c7cf69a9d53cc8715137e7dba91958dabef9b_lin
*Some key features and improvements in
Hi Community,
Carbondata supports update and delete using spark. So basically update is
delete + Insert, and delete is just delete
But we use spark APIs or actions on collections that use spark jobs to do
them, like map, partition etc
So Spark adds overhead of task serialization cost, total job
Hi All,
Currently, we have the merge index feature which can be enabled or disabled
and by default it's enabled.
Now during load or compaction, we first create index files and then create
merge index,
if merge index generation fails we don't fail load, we have the alter
compact command to do for
Hi Community,
Due to some maintenance issues, CI has some problems. We are working on it
to fix ASAP. we will notify once it's Ok.
Thanks
Regards,
Akash R
Hi Community,
On account of CI maintenance activity, the carbondata CI machines will be
down till October 5th, starting from tonight. PR builder will start as
usual from Oct 5th. Please make note of this.
Thanks,
Regards,
Akash R
Hi Community,
Currently, we have an API called alterTable() in
CarbonSessionCatalogUtil.scala which basically fires a SQL which goes and
changes the serde properties. Actually this API was added when carbon
needed to support alter features(spark-2.1 and 2.2 back then), but spark
wasn't
Hi Community,
As we know the CarbonDataisan indexed columnar data format for fast
analytics on big data platforms. So
we have already integrated with the query engines like spark and even
presto. Currently with presto we
only support the querying of carbon data files. But we don’t yet support
the
hi,
+1,
Looks good.
Can you please update the document with more clear explanation.
Regards,
Akash
On 2019/12/17 11:55:30, Vikram Ahuja wrote:
> Hi All,
> Please find the attached design document for the same.
>
>
Hi,
+1 for ajantha's suggestion.
Many Open source communities use slack for any discussion, it has got good
interface UI and it even supports chat. It will be helpful for any new
developer who is interested in carbondata.
Currently many people cannot follow mail chain.
Regards,
Akash R
Hi likun,
Actually in datamap schema i havent seen classname, we always write the
provider name so i think its not failing and the table Schema im not sure, it
basically depends on which class loads first.
Regards,
Akash
On 2019/12/09 04:20:07, Jacky Li wrote:
> Hi Akash,
>
>
> I check
+1
Regards,
Akash R Nilugal
On 2019/11/26 13:47:11, vikramahuja1001 wrote:
> Hi Community!
> The support for prepriming in the case of Bloom and Lucene have to be
> removed from the design document as those datamaps are only created during
> query time and no the load time. Since they are not
Hi,
1. Global Dict - 0
2. Bucket and 3. Cutstom Partition +1
4. Batch sort +1
5 page level 0
6. preaggregate and old timeseries + 1
7. stored by +1
Store optimization +1
I also suggest the refactoring below:
[DISCUSSION] Segment file improvement for Update and delete case.
you can find the
Hi Community,
Recently we developed a code to reduce the table status file size. So now the
table status file contains the short forms of name which reduces the files
size. For compatibility case, we have added a @Serialized annotation provided
by gson(version 2.4) which allows to mention the
/09/23 13:42:48, Akash Nilugal wrote:
> Hi Community,
>
> Timeseries data are simply measurements or events that are
> tracked,monitored, downsampled, and aggregated over time.
> Basicallytimeseries data analysis helps in analyzing or monitoring
> theaggregated data over peri
nd starts querying the low level data if he needs it.
> I think better get some real uses how user wants this time series data.
>
> Regards,
> Ravindra.
>
> > On 4 Oct 2019, at 9:39 PM, Akash Nilugal wrote:
> >
> > Hi Ravi,
> >
> > 1. I forgot to m
Congratulations Ajantha.
Regards,
Akash
On 2019/10/03 12:00:22, Liang Chen wrote:
> Hi
>
>
> We are pleased to announce that the PMC has invited Ajantha as new Apache
> CarbonData committer and the invite has been accepted!
>
> Congrats to Ajantha and welcome aboard.
>
> Regards
>
>
scenario
>
> 4. Why to store min/max at segment level? We can get from datamap also right?
>
> 4. Union with high granularity tables to low granularity tables are really
> needed? Any other time series DB is doing it? Or any known use case we have?
>
> Regards,
> R
old records if timeseries device stopped working for some time).
>
> On Tue, Oct 1, 2019 at 10:41 AM Akash Nilugal
> wrote:
>
> > Hi vishal,
> >
> > In the design document, in the impacted analysis section, there is a topic
> > compatibility/legacy stores, so b
ries datamap for older segments[Existing table].
> If the customer's main table data is also stored based on time[increasing
> time] in different segments,he can use this feature as well.
>
> We can discuss and finalize the solution.
>
> -Regards
> Kumar Vishal
>
> On Mon
is also stored based on time[increasing
> time] in different segments,he can use this feature as well.
>
> We can discuss and finalize the solution.
>
> -Regards
> Kumar Vishal
>
> On Mon, Sep 30, 2019 at 2:42 PM Akash Nilugal
> wrote:
>
> > Hi Ajantha,
>
Hi
+1
One question is , is add segment and load data to main table supported? If yes,
how the segment locking thing is handled? as we are going to add an entry
inside table status with a segment id for added segment.
Regards,
Akash
On 2019/09/10 14:41:22, Ravindra Pesala wrote:
> Hi All,
>
data will be fetched
> form hour granularity datamap and aggregated ? or data is fetched from main
> table ?
>
> Thanks,
> Ajantha
>
> On Mon, Sep 30, 2019 at 11:46 AM Akash Nilugal
> wrote:
>
> > Hi xuchuanyin,
> >
> > Thanks for the comments/Su
Hi xuchuanyin,
Thanks for the comments/Suggestions
1. Preaggregate is productized, but not the timeseries with preaggregate, i
think you got confused with that, if im right.
2. Limitations like, auto sampling or rollup, which we will be supporting now.
Retention policies. etc
3.
datamap be supported ? If not
> supported it can be updated in the design doc.
>
> Regards
> Chetan
>
> On 2019/09/23 13:42:48, Akash Nilugal wrote:
> > Hi Community,
> >
> > Timeseries data are simply measurements or events that are
> > tracked,monitored, downsampled,
,
> TIMESTAMP, BIGINT(Unix timestamp)
>
> On 2019/09/23 13:42:48, Akash Nilugal wrote:
> > Hi Community,
> >
> > Timeseries data are simply measurements or events that are
> > tracked,monitored, downsampled, and aggregated over time.
> > Basicallytim
Hi Community,
Timeseries data are simply measurements or events that are
tracked,monitored, downsampled, and aggregated over time.
Basicallytimeseries data analysis helps in analyzing or monitoring
theaggregated data over period of time to take better decision forbusiness.
So since carbondata
Hi Community,
Consider a scenario where we have one update operation done on segment, so
one index and data file are generated. Now one more update operation
happens which will load the segments
of old update to cache, and actual indexmerge of that segment to cache. But
since we have horizontal
Hi David,
Can you please create a JIRA and upload a design document.
Regards,
Akash
On 2019/08/31 06:14:45, David Cai wrote:
> hi all,
> CarbonData has supported the insert/update/delete operations.
> Now we can start to discuss the MERGE INTO statement.
> It should combine
Hi Ravindra,
I have some doubts and suggestion,
1. Since for compaction, you are suggesting to keep the compacted segments as
it is, it will be applicable for delete segment by id or date operation also
right?
2. Since there is a proposal for moving delete delta file data to segment file,
Hi David,
Thanks for the input.
Here anyway at one point of time query is gonna happen on table, if we giev one
more table property, simply it will be like complex, like handle property,
compatibility, set and unset support. let's not make this more cumbersome.
Anyway LRU will take care to
dataload operation be impacted if the
> segment datamap is loaded to cache once the load is finished.
> 2. Will there be a notification in logs stating that the loading of datamap
> cache is completed.
>
> Regards
>
> On 2019/08/15 12:03:09, Akash Nilugal wrote:
> >
w much of the performance difference between the first and second
> querys is affected by caching index and how much is affected by Hadoop
> caching.
> We should open it up and take a look at the time-consuming analysis on
> the driver side.
>
> On 2019/08/21 09:42:
It can analyze the performance improvement that can be brought by
> caching part of the index in advance.
>
> On 2019/08/15 12:03:09, Akash Nilugal wrote:
> > Hi Community,
> >
> > Currently, we have an index server which basically helps in distributed
> > cach
nd, first clear the cache
> data, then loading the cache again? does this command can be executed many
> times。
> 5. About Compaction
> Does like the rebuild before,we need to decide which cache should be
> clear and another segments's cache need be loaded?
> On 2019/08/15
e to use,
> such as :
> *.* for all dbs and tables
> test.* for all tables in test db
> test.day_table_201908* for table has targeted prefix
>
> 3. yes, you are right, fire a count(*) can do that.
>
>
> On 2019/08/19 09:23:06, Akash Nilugal wrote:
> > Hi man
get back for any clarifications or inputs.
Thanks and Regards
Akash R Nilugal
On Thu, Aug 15, 2019, 5:33 PM Akash Nilugal wrote:
> Hi Community,
>
> Currently, we have an index server which basically helps in distributed
> caching of the datamaps in a separate spark
Hi All,
I have raised a jira and attached the design doc there .please refer
CARBONDATA - 3492
Regards,
Akash
On Thu, Aug 15, 2019, 5:33 PM Akash Nilugal wrote:
> Hi Community,
>
> Currently, we have an index server which basically helps in distributed
> caching of the datamaps i
Hi Community,
Currently, we have an index server which basically helps in distributed
caching of the datamaps in a separate spark application.
The caching of the datamaps in index server will start once the query is
fired on the table for the first time, all the datamaps will be loaded
if the
Hi,
Currently in carbondata we have datamaps like preaggregate, lucene, bloom,
mv and we have
lazy and non-lazy methods to load data to datamaps. But lazy load is not
allowed for datamaps
like preagg, lucene, bloom.but, it is allowed for mv datamap. In lazy load
of mv datamap, for
every
Hi community,
Currently carbon supports alter table rename, add column, drop column and
change datatype command.
I want to propose alter table column rename feature in carbondata.
If user has an old table and he wants to change some column names as those
columns does not meet his current
Hi all,
Currently when the data load is done with sort_scope as NO_SORT, then when
those segments are compacted, data is still not sorted and it will hit
query performance.
The above problem can be solved by sorting the data during compaction and
this helps in query performance.
During busy
Hi Community,
With the current metadata in carbondata file footer, we can add more
metadata to footer file to Improve carbon maintainability. we can add info
like who has written the file and what is the carbon version in which this
file is written, which will help to identify or fix any
as mentioned above
4. memory requirement reduced to higher level
Regards,
Akash R Nilugal
On Mon, Aug 27, 2018 at 11:51 AM Akash Nilugal
wrote:
> Hi all,
>
> Currently, when the fallback is initiated for a column page in case of
> local dictionary, we are keeping both
Hi all,
Currently, when the fallback is initiated for a column page in case of
local dictionary, we are keeping both encoded data
and actual data in memory and then we form the new column page without
dictionary encoding and then at last we free the Encoded Column Page.
Because of this offheap
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