Yes, first we should simplify the DDL options. I propose following options,
please check weather it miss some scenario.

1. SORT_COLUMNS, or SORT_KEY
This indicates three things:
1) All columns specified in options will be used to construct
Multi-Dimensional Key, which will be sorted along this key
2) They will be encoded as Inverted Index and thus again sorted within
column chunk in one blocklet
3) Minmax index will also be created for these columns

When to use: This option is designed for accelerating filter query, so put
all filter columns into this option. The order of it can be:
1) From low cardinality to high cardinality, this will make most compression
and fit for scenario that does not have frequent filter on high card column
2) Put high cardinality column first, then put others. This fits for
frequent filter on high card column

For example, SORT_COLUMNS=“C1,C2,C3”, means C1,C2,C3 is MDK and encoded as
Inverted Index and with Minmax Index
Note that while C1,C2,C3 can be dimension but they also can be measure. So
if user need to filter on measure column, it can be put in SORT_COLUMNS
option.

If this option is not specified by user, carbon will pick MDK as it is now.

2. TABLE_DICTIONARY 
This is to specify the table level dictionary columns. Will create global
dictionary for all columns in this option for every data load.

When to use: The option is designed for accelerating aggregate query, so put
group by columns into this option

For example. TABLE_DICTIONARY=“C2,C3,C5”

If this option is not specified by user, means all columns encoding without
global dictionary support. Normal shuffle on decoded value will be applied
when doing group by operation.

I think these two options should be the basic option for normal user, the
goal of them is to satisfy the most scenario without deep tuning of the
table
For advanced user who want to do deep tuning, we can debate to add more
options. But we need to identify what scenario is not satisfied by using
these two options first.

Regards,
Jacky



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