Skip to main content

To know free space,used space of each and every datafile in a tablespace

Hi all,

Here we'll see how do we check the free space and used space of each datafile separately in the tablespace as i said in previous post

We can use the below query to check the space usage of each and every data file in the tablespaces.

break on report
compute sum of allocated_mb on report
compute sum of used_mb on report
compute sum of free_space_mb on report
set lines 500
COLUMN free_space_mb format 999999.90
COLUMN allocated_mb format 999999.90
COLUMN used_mb format 999999.90
col file_name for a60
SELECT   SUBSTR (df.NAME, 1, 60) file_name, df.bytes / 1024 / 1024 allocated_mb,
         ((df.bytes / 1024 / 1024) - NVL (SUM (dfs.bytes) / 1024 / 1024, 0))
               used_mb,
         NVL (SUM (dfs.bytes) / 1024 / 1024, 0) free_space_mb
    FROM v$datafile df, dba_free_space dfs
   WHERE df.file# = dfs.file_id(+) and dfs.TABLESPACE_NAME='_DATA'
GROUP BY dfs.file_id, df.NAME, df.file#, df.bytes
ORDER BY file_name;


Output:









The output is taken for one tablespace (_DATA) which contains 16 datafiles in it. So you can know the used space, free space and its allocated space of datafiles separately.

Comments

Popular posts from this blog

Export and import multiple schema using expdp/impdp (Data Pump utility)

Use the below sql query to export and import multiple schema: expdp schemas=schema1,schema2,schema3 directory=DATA_PUMP_DIR dumpfile=schemas120514bkp.dmp exclude=statistics logfile=expdpschemas120514.log impdp schemas=schema1,schema2,schema3 directory=DATA_PUMP_DIR dumpfile=schemas120514bkp.dmp logfile=impdpschemas120514.log sql query to export and import a schema: expdp schemas=schema directory=DATA_PUMP_DIR dumpfile=schema120514bkp.dmp exclude=statistics logfile=expdpschema120514.log impdp schemas=schema directory=DATA_PUMP_DIR dumpfile=schema120514bkp.dmp logfile=expdpschema120514.log Parameter STATISTICS=NONE can either be used in export or import. No need to use the parameter in both. To export meta data only to get ddl of the schemas: expdp schemas=schema1,schema2,schema3 directory=TEST_DIR dumpfile=content.dat content=METADATA_ONLY exclude=statistics To get the DDL in a text file: impdp directory=TEST_DIR sqlfile=sql.dat logfile=sql.log dumpfile=content12051

Pinning execution plan for a sql_id using 'SQL Profile' to consistently reproduce a good plan

Deal all, Below post content is not my own. It is taken from MOSC document but the example shown below is taken from our environment. I got to know the below topic when we had experienced the bad SQL query performance in one of our production environment during daily batch running time. Hence we had implemented the same mentioned in the title "Pinning execution plan for a sql_id using 'SQL Profile' to consistently reproduce a good plan". Introduction The "cost-based optimizer (CBO or just optimizer) is the part of database software that determines the most efficient means of accessing the specified data (or at least what it "calculates" as the most efficient). The optimizer determines which execution plan is most efficient by considering several sources of information, including query conditions, available access paths, statistics gathered for the system, and hints. Some changes in those conditions may affect the calculations of the plan

SQL query to find the cause or reason for more archive log generation

Finding reason or cause for heavy or more archive log generation in a particular time period As i said in the previous post we are going to see SQL queries to find the cause or reason for more archive log generation in a problematic window... Sometimes customer would ask the sql query which generated more archive logs sometimes before or days before (not for current archive logs generation which is described in the previous post). In such scenarios, follow the steps below. Step 1: ====== First you must know the timing when more number of archive logs generated in the databases. for that you can use the below query. Below sql query gives how many number of archive logs generated for each and every hour... col day for a12 set lines 1000 set pages 999 col "00" for a3 col "01" for a3 col "02" for a3 col "03" for a3 col "04" for a3 col "05" for a3 col "06" for a3 col "07" for