Github user vandana7 commented on a diff in the pull request:
https://github.com/apache/carbondata/pull/1534#discussion_r152549583
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+
+# Data Management on CarbonData
+
+This tutorial is going to introduce all commands and data operations on
CarbonData.
+
+* [CREATE TABLE](#create-table)
+* [TABLE MANAGEMENT](#table-management)
+* [LOAD DATA](#load-data)
+* [UPDATE AND DELETE](#update-and-delete)
+* [COMPACTION](#compaction)
+* [PARTITION](#partition)
+* [BUCKETING](#bucketing)
+* [SEGMENT MANAGEMENT](#segment-management)
+
+## CREATE TABLE
+
+ This command can be used to create a CarbonData table by specifying the
list of fields along with the table properties.
+
+ ```
+ CREATE TABLE [IF NOT EXISTS] [db_name.]table_name[(col_name data_type ,
...)]
+ STORED BY 'carbondata'
+ [TBLPROPERTIES (property_name=property_value, ...)]
+ ```
+
+### Usage Guidelines
+
+ Following are the guidelines for TBLPROPERTIES, CarbonData's additional
table options can be set via carbon.properties.
+
+ - **Dictionary Encoding Configuration**
+
+ Dictionary encoding is turned off for all columns by default from 1.3
onwards, you can use this command for including columns to do dictionary
encoding.
+ Suggested use cases : do dictionary encoding for low cardinality
columns, it might help to improve data compression ratio and performance.
+
+ ```
+ TBLPROPERTIES ('DICTIONARY_INCLUDE'='column1, column2')
+ ```
+
+ - **Inverted Index Configuration**
+
+ By default inverted index is enabled, it might help to improve
compression ratio and query speed, especially for low cardinality columns which
are in reward position.
+ Suggested use cases : For high cardinality columns, you can disable
the inverted index for improving the data loading performance.
+
+ ```
+ TBLPROPERTIES ('NO_INVERTED_INDEX'='column1, column3')
+ ```
+
+ - **Sort Columns Configuration**
+
+ This property is for users to specify which columns belong to the
MDK(Multi-Dimensions-Key) index.
+ * If users don't specify "SORT_COLUMN" property, by default MDK index
be built by using all dimension columns except complex datatype column.
+ * If this property is specified but with empty argument, then the
table will be loaded without sort..
+ Suggested use cases : Only build MDK index for required columns,it
might help to improve the data loading performance.
+
+ ```
+ TBLPROPERTIES ('SORT_COLUMNS'='column1, column3')
+ OR
+ TBLPROPERTIES ('SORT_COLUMNS'='')
+ ```
+
+ - **Sort Scope Configuration**
+
+ This property is for users to specify the scope of the sort during
data load, following are the types of sort scope.
+
+ * LOCAL_SORT: It is the default sort scope.
+ * NO_SORT: It will load the data in unsorted manner, it will
significantly increase load performance.
+ * BATCH_SORT: It increases the load performance but decreases the
query performance if identified blocks > parallelism.
+ * GLOBAL_SORT: It increases the query performance, especially high
concurrent point query.
+ And if you care about loading resources isolation strictly, because
the system uses the spark GroupBy to sort data, the resource can be controlled
by spark.
+
+ - **Table Block Size Configuration**
+
+ This command is for setting block size of this table, the default
value is 1024 MB and supports a range of 1 MB to 2048 MB.
+
+ ```
+ TBLPROPERTIES ('TABLE_BLOCKSIZE'='512')
+ //512 or 512M both are accepted.
+ ```
+
+### Example:
+ ```
+ CREATE TABLE IF NOT EXISTS productSchema.productSalesTable (
+ productNumber Int,
+ productName String,
+ storeCity String,
+ storeProvince String,
+ productCategory String,
+ productBatch String,
+ saleQuantity Int,
+ revenue Int)
+ STORED BY 'carbondata'
+ TBLPROPERTIES ('DICTIONARY_INCLUDE'='productNumber',
+ 'NO_INVERTED_INDEX'='productBatch',
+ 'SORT_COLUMNS'='productName,storeCity',
+ 'SORT_SCOPE'='NO_SORT',
+ 'TABLE_BLOCKSIZE'='512')
+ ```
+
+## TABLE MANAGEMENT
+
+### SHOW TABLE
+
+ This command can be used to list all the tables in current database or
all the tables of a specific database.
+ ```
+ SHOW TABLES [IN db_Name]
+ ```
+
+ Example:
+ ```
+ SHOT TABLES
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SHOW TABLES
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