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Managing the Exadata Database Machine
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CELL_OFFLOAD_PROCESSING can be set at the system and the session level by using the ALTER SYSTEM or the ALTER SESSION commands This command enables SQL offload processing for the session executing the command:
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SQL> ALTER SESSION SET CELL_OFFLOAD_PROCESSING = TRUE;
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You can also enable (or disable) the CELL_OFFLOAD_PROCESSING for a SQL by using the OPT_PARAM hint The SQL-level setting overrides the session-level settings, which in turn overrides the system-level settings This example will enable offload processing only for the SQL using the OPT_PARAM hint:
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SQL> SELECT /*+ OPT_PARAM('cell_offload_processing', 'true') */ COUNT(*) FROM SALES;
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Whether the SQL query is offloaded to the Exadata Storage Server for processing or not, you can always look at the execution plan of the SQL with the EXPLAIN PLAN command and determine the predicate or portion of the SQL that will be a candidate for offload processing The EXPLAIN PLAN command has been enhanced to display the offloaded predicates in the storage section of its output This feature of EXPLAIN PLAN exists even when you do not have the Exadata Storage Servers as the storage grid serving the database The database parameter CELL_OFFLOAD_PLAN_DISPLAY must be set to AUTO or ALWAYS in order for the EXPLAIN PLAN to display the predicate offload information You can modify the parameter by using the ALTER SESSION or ALTER SYSTEM command, as shown in this example:
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SQL> ALTER SESSION SET CELL_OFFLOAD_PLAN_DISPLAY = ALWAYS;
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The possible values for CELL_OFFLOAD_PLAN_DISPLAY are
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AUTO This is the default value AUTO will instruct EXPLAIN PLAN to display the storage section when the Exadata Storage Servers are configured as the storage layer ALWAYS This setting will display the storage section, regardless of whether the database storage layer resides on Exadata Storage Servers or not NEVER The storage section will never be displayed
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Achieving Extreme Performance with Oracle Exadata
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The output shown here is an example of EXPLAIN PLAN with the storage section (highlighted in bold):
SQL>
select count(*) from SALES where CUSTOMER_ID>2000; Execution Plan ---------------------------------------------------------Plan hash value: 2189604569 ---------------------------------------------------------|Id| Operation | Name| Rows | Bytes| Cost (%CPU)| Time | ----------------------------------------------------------------------------| 0| SELECT STATEMENT | | 1 | 13 | 5815 (1)| 00:01:10 | | 1| SORT AGGREGATE | | 1 | 13 | | | |*2| TABLE ACCESS STORAGE FULL| SALE|1347K| 16M| 5815 (1)| 00:01:10 | ----------------------------------------------------------------------------Predicate Information (identified by operation id): --------------------------------------------------2 - storage("CUSTOMER_ID">(2000)) filter("CUSTOMER_ID">(2000))
Using SQL to Monitor the Exadata Storage Server
In this section, we will discuss the frequently used monitoring commands that you can execute from the database nodes using SQL for calculating efficiencies of various Exadata Storage Server features Calculating the Exadata Smart Scan Efficiency The efficiency of Exadata Smart Scans is defined as the ratio of bytes fetched by the hard disks on the Exadata Storage Server to the bytes forwarded to the database servers for further processing The higher values of this ratio indicate that the Storage Servers are filtering more results and are forwarding only the relevant information to the database servers, thereby indicating a higher efficiency of Smart Scans When there are no Smart Scan operations occurring, the offload efficiency will be 1 The Smart Scan efficiency can be computed for individual SQL statements, and also for the Exadata Storage Server The formula for computing the efficiency at the Exadata Storage Server level using the v$sysstat statistics is given here: (cell IO uncompressed bytes + cell physical IO bytes saved by storage index)/(cell physical IO interconnect bytes returned by smart scan)
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Managing the Exadata Database Machine
The v$sysstat statistics referenced in this calculation are defined here:
Cell IO uncompressed bytes is the statistic that represents the total size of uncompressed data processed on the Exadata Storage Server When the data is compressed and needs to be decompressed on the Exadata Storage Server for evaluating Smart Scan predicates, the size of data after decompression is added to this statistic instead of the compressed size Cell physical IO bytes saved by storage index represents the total I/O bytes saved by the storage index, which otherwise would lead to a physical I/O if the index didn t exist In the equation for calculating Smart Scan efficiency, this statistic is added to the cell IO uncompressed bytes, and this is done in order to separate the benefits obtained by the storage indexes from that of the Smart Scans Cell physical IO interconnect bytes returned by Smart Scan is the total I/O bytes returned by the Exadata Storage Server to the database server for Smart Scan operations only Other I/Os that are not related to Smart Scans are excluded from this statistic
Use the following SQL to calculate the Smart Scan efficiency for the Exadata Storage Server:
SELECT (avalue+bvalue)/cvalue as efficiency FROM v$sysstat a, v$sysstat b, v$sysstat c WHERE aname = 'cell IO uncompressed bytes' AND bname = 'cell physical IO bytes saved by storage index' AND cname = 'cell physical IO interconnect bytes returned by smart scan'; EFFICIENCY ---------459
Monitoring Storage Index Utilization The statistic that you will use to measure the benefit of Exadata storage indexes is the cell physical I/O bytes saved by storage index This statistic will display the I/O bytes saved by the storage indexes that otherwise would have led to a physical I/O The statistic is available in the v$sysstat, v$sesstat, and v$mystat tables, and also the corresponding gv$ tables for the Oracle RAC cluster
SELECT name, value FROM v$sysstat WHERE name = 'cell physical IO bytes saved by storage index';
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