Database size
Database size can be calculated on the basis of the following system dictionaries: EXA_ALL_OBJECT_SIZES or EXA_DBA_OBJECT_SIZES.
The dictionary lists all tables and schemas. Please note, the size of an object of the type 'SCHEMA' will be calculated as a sum of the sizes of all the objects in this schema. For views, functions, etc., the size represents the corresponding text size.
RAW_OBJECT_SIZE specifies the logical object size based on both data types and content. This size is comparable with the size of a CSV-file containing the same data. The value is calculated as a sum of sizes of stored data:
- NULL –› 1 byte
- fixed size type: depending on the type –› 1-80000 bytes
- variable size type (varchar) –› number of bytes the value really uses.
MEM_OBJECT_SIZE specifies the real size of the database object. The value is calculated as a sum of the following:
- a sum of all stored values after compression
- structural overhead, e.g. length information for a VARCHAR value
- overhead for replication
Replication: Table content will be held in RAM on each node for better performance. This applies only small tables (< 100.000 rows).
Please note, that for a new table some data blocks will be reserved. Therefore, MEM_OBJECT_SIZE of empty or very small tables can be bigger than RAW_OBJECT_SIZE. This does not imply a bad data compression ratio.
These system dictionaries provide you the total size of database objects in the cluster.
Example: Objects in the schema 'EXAMPLES'
OBJECT_NAME OBJECT_TYPE RAW_OBJE MEM_OBJE
TESTADR TABLE 492836 2615072
ITEMS TABLE 1120 23489
PAYMENTS TABLE 208 13956
PRODUCTS TABLE 1191 230942
NEW_CITIES TABLE 132 80336
V_PRODUCT_ORDERING VIEW 578 578
V_CUSTOMERS VIEW 431 431
V_PRODUCT_RATING_MONTHLY VIEW 755 755
CUSTOMER_MOVES TABLE 0 13920
MYMAX FUNCTION 290 290
DAYS_BETWEEN FUNCTION 402 402
COUNTRIES TABLE 64 74655
NEW_CUSTOMERS TABLE 117 217756
CITIES TABLE 167 80336
ORDERS TABLE 399 13996
TESTADR_CLEANSED TABLE 41770 1822724
CUSTOMERS TABLE 365 222986
RETURNED_ITEMS TABLE 178 92179
V_ORDERS VIEW 648 648
V_RETURNS VIEW 713 713
V_PAYMENTS VIEW 472 472
V_CUSTOMER_RAITING VIEW 861 861
V_TRANSACTIONS VIEW 615 615
LAG TABLE 45 9299
MYFUNCS PACKAGE 208 208
Data distribution
You can check the data distribution of a table by using an iproc()-function:
Example: Using of iproc()-function
SELECT
count(*), iproc()
FROM mytable
GROUP BY iproc()
ORDER BY 2;
COUNT(*) IPROC
5327099 0
5325780 1
5333799 2
5319445 3
Explanation