Hi Swapnil,
Dictionary is beneficial for aggregation query (carbon will leverage late
decode optimization in sql optimizer), so you can use it for columns on which
you frequently do group by. While it can improve query performance, but it also
requires more memory and CPU while loading. Normally, you should consider to
use dictionary only on low cardinality columns.
In current apache master branch (and all history release before 1.2), carbon
data’s default encoding strategy favor query performance over loading
performance. By default, all string data type by default is encoded as
dictionary. But it creates some problems sometimes, for example, if there are
high cardinality column in the table, loading may fail due to not enough memory
in JVM. To avoid this, we have added DICTIONARY_EXCLUDE option so that user can
disable this default behavior manually. So, DICTIONARY_EXCLUDE property is
designed for String column only.
And, if you have low cardinality integer column ( like some ID field), you can
choose to encode it as dictionary by specifying DICTIONARY_INCLUDE, so group by
on this integer column will be faster.
All these are current behavior, and there was discussion to change this
behavior and give more control to the user, in the coming release (1.2)
The new proposed target behavior will be:
1. There will be a default encoding strategy for each data type. If user does
not specify any encoding related property in CREATE TABLE, carbon will use the
default encoding strategy for each column.
2. And there will be a ENCODING property through which user can override the
system default strategy. For example, user can create table by:
CREATE TABLE t1 (city_name STRING, city_id INT, population INT, area DOUBLE)
TBLPROPERTIES (‘ENCODING’ = ‘city_name: dictionary, city_id: {dictionary, RLE},
population: delta’)
This SQL means city_name is encoded using dictionary, city_id is encoded using
dictionary then apply RLE encoding (for numeric value), population is encoded
using delta encoding, and area is encoded using system default encoding for
double data type.
This change is still going on (CARBONDATA-1014,
https://issues.apache.org/jira/browse/CARBONDATA-1014
<https://issues.apache.org/jira/browse/CARBONDATA-1014>), on
apache/encoding_override branch. Once it is done and stable it will be merged
into master.
Please advise if you have any suggestions.
Regards,
Jacky
> 在 2017年7月21日，上午12:12，Swapnil Shinde <swapnilushi...@gmail.com> 写道：
>
> Ok. Just curious - Any reason not to support numeric columns with
> dictionary_exclude? Wouldn't it be useful for numeric unique column which
> should be dimension but avoid creating dictionary (as it may not be
> beneficial).
>
> Thanks
> Swapnil
>
>
> On Thu, Jul 20, 2017 at 4:20 AM, manishgupta88 <tomanishgupt...@gmail.com>
> wrote:
>
>> No Dictionary_Exclude is supported only for String data type columns.
>>
>> Regards
>> Manish Gupta
>>
>>
>>
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