ajantha-bhat commented on a change in pull request #3689: [CARBONDATA-3680]Add 
Secondary Index Document
URL: https://github.com/apache/carbondata/pull/3689#discussion_r401745203
 
 

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 File path: docs/index/secondary-index-guide.md
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+
+# CarbonData Secondary Index
+
+* [Quick Example](#quick-example)
+* [Secondary Index Table](#Secondary-Index-Introduction)
+* [Loading Data](#loading-data)
+* [Querying Data](#querying-data)
+* [Compaction](#compacting-SI-table)
+* [DDLs on Secondary Index](#DDLs-on-Secondary-Index)
+
+## Quick example
+
+Start spark-sql in terminal and run the following queries,
+```
+CREATE TABLE maintable(a int, b string, c string) stored as carbondata;
+insert into maintable select 1, 'ab', 'cd';
+CREATE index inex1 on table maintable(c) AS 'carbondata';
+SELECT a from maintable where c = 'cd';
+// NOTE: run explain query and check if query hits the SI table from the plan
+EXPLAIN SELECT a from maintable where c = 'cd';
+```
+
+## Secondary Index Introduction
+  Sencondary index tables are created as a indexes and managed as child tables 
internally by
+  Carbondata. Users can create secondary index based on the column position in 
main table(Recommended
+  for right columns) and the queries should have filter on that column to 
improve the filter query
+  performance.
+  
+  SI tables will always be loaded non-lazy way. Once SI table is created, 
Carbondata's 
+  CarbonOptimizer with the help of CarbonSITransformationRule, transforms the 
query plan to hit the
+  SI table based on the filter condition or set of filter conditions present 
in the query.
+  So first level of pruning will be done on SI table as it stores blocklets 
and main table/parent
+  table pruning will be based on the SI output, which helps in giving the 
faster query results with
+  better pruning.
+
+  Secondary Index table can be create with below syntax
+
+   ```
+   CREATE INDEX [IF NOT EXISTS] index_name
+   [ON TABLE maintable](index_column)
+   AS
+   'carbondata'
+   TBLPROPERTIES('table_blocksize'='1')
+   ```
+  For instance, main table called **sales** which is defined as
+
+  ```
+  CREATE TABLE sales (
+    order_time timestamp,
+    user_id string,
+    sex string,
+    country string,
+    quantity int,
+    price bigint)
+  STORED AS carbondata
+  ```
+
+  User can create SI table using the Create Index DDL
+
+  ```
+  CREATE INDEX index_sales
+  ON TABLE sales(user_id)
+  AS
+  'carbondata'
+  TBLPROPERTIES('table_blocksize'='1')
+  ```
+**NOTE**:
+ * Secondary Index tables are registered with hive and stored in 
HiveSERDEPROPERTIES as json formatted
+ value. Maximum characters supported for SERDEPROPERTIES by hive is 4000 
characters which cannot be
+ changed.
+ 
+ 
+#### How SI tables are selected
+
+When a user executes a filter query, during query planning phase, CarbonData 
with help of
+CarbonSITransformationRule, checks if there are any index tables present on 
the filter column of
+query. If there are any, then filter query plan will be transformed such a way 
that, execution will
+first hit the corresponding SI table and give input to main table for further 
pruning.
+
+
+For the main table **sales** and SI table  **index_sales** created above, 
following queries
+```
+SELECT country, sex from sales where user_id = 'xxx'
+
+SELECT country, sex from sales where user_id = 'xxx' and country = 'INDIA'
+```
+
+will be transformed by CarbonData's CarbonSITransformationRule to query 
against SI table
+**index_sales** first which will be input to the main table **sales**
+
+
+## Loading data
+
+### Loading data to Secondary Index table(s).
+
+*case1:* When SI table is created and the main table does not have any data. 
In this case every
+consecutive load will load to SI table once main table data load is finished.
+
+*case2:* When SI table is created and main table already contains some data, 
then SI creation will
+also load to SI table with same number of segments as main table. There after, 
consecutive load to
+main table will load to SI table also.
+
+ **NOTE**:
+ * In case of any failure to SI table, then we make the SI table disable by 
setting a hive serde
+ property. The subsequent main table load will load the old failed loads along 
with current load and
+ makes the SI table enable and available for query.
+
+## Querying data
+Direct query can be made on SI tables to see the data present in position 
reference columns.
+When a filter query is fired, if the filter column is a secondary index 
column, then plan is
+transformed accordingly to hit SI table first to make better pruning with main 
table and in turn
+helps for faster query results.
+
+User can verify whether a query can leverage SI table or not by executing 
`EXPLAIN`
+command, which will show the transformed logical plan, and thus user can check 
whether SI table
+table is selected.
+
+
+## Compacting SI table
+
+### Compacting SI table table through Main Table compaction
+Running Compaction command (`ALTER TABLE COMPACT`)[COMPACTION TYPE-> 
MINOR/MAJOR] on main table will
+automatically delete all the old segments of SI and creates a new segment with 
same name as main
+table compacted segmet and loads data to it.
+
+### Compacting SI table's individual segment(s) through REBUILD command
+Where there are so many small files present in the SI table, then we can use 
REBUILD command to
+compact the files within an SI segment to avoid many small files.
+
+  ```
+  REBUILD INDEX sales_index
+  ```
+This command merges data files in  each segment of SI table.
+
+  ```
+  REBUILD INDEX sales_index WHERE SEGMENT.ID IN(1)
+  ```
+This command merges data files within specified segment of SI table.
+
+## How to skip Secondary Index?
+When Secondary indexes are created on a table(s), always data fetching happens 
from secondary
+indexes created on the maintables for better performance. But sometimes, data 
fetching from the
+secondary index might degrade query performance. So to avoid such secondary 
indexes, we use NI as a
 
 Review comment:
   can mention when it will be degraded.
   For example, when the data is sparse and most of the blocklet need to be 
scanned.

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