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Run1 latches total versus runs -- difference and pct Run1 Run2 Diff Pct 298,987 402,085 103,098 74.36% PL/SQL procedure successfully completed. This single table hash cluster required even less latching into the buffer cache to process (it can stop looking for data sooner, and it has more information). As a result, the TKPROF report shows a measurable decrease in CPU utilization this time around: SELECT * FROM T_HASHED WHERE OBJECT_ID = :B1 call count ------- -----Parse 1 Execute 48178 Fetch 48178 ------- -----total 96357 cpu elapsed disk query current -------- ---------- ---------- ---------- ---------0.00 0.00 0 0 0 4.45 4.52 0 2 0 0.67 0.82 0 48178 0 -------- ---------- ---------- ---------- ---------5.12 5.35 0 48180 0 rows ---------0 0 48178 ---------48178

Size 32/64

Rows Row Source Operation ------- --------------------------------------------------48178 TABLE ACCESS HASH T_HASHED (cr=48178 pr=0 pw=0 time=551123 us) ******************************************************************************** SELECT * FROM T_HEAP WHERE OBJECT_ID = :B1 call count ------- -----Parse 1 Execute 48178 Fetch 48178 ------- -----total 96357 cpu elapsed disk query current -------- ---------- ---------- ---------- ---------0.00 0.00 0 0 0 5.38 4.99 0 0 0 1.25 1.65 0 144534 0 -------- ---------- ---------- ---------- ---------6.63 6.65 0 144534 0 rows ---------0 0 48178 ---------48178

Rows ------48178 48178

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The following code samples demonstrate several ways to set and manage variables with default values. Although these examples all perform the same task, they do it in slightly different ways. The first example is probably the easiest to read from a human perspective, but is likely the most verbose in terms of coding efficiency. The option you choose will depend on your motives. Many times I have used the first type of code because scripts I ve written need to be simple to read and support by others with varying

Size of virtual memory initially committed for the process heap. The default is 4KB (one operating system memory page) for 32-bit images and 2KB for 64-bit images. Obsolete, set to 0. Number of entries in the DataDirectory array; at least 16. Although it is theoretically possible to emit more than 16 data directories, all existing managed compilers emit exactly 16 data directories, with the 16th (last) data directory never used (reserved).

Row Source Operation --------------------------------------------------TABLE ACCESS BY INDEX ROWID T_HEAP (cr=144534 pr=0 pw=0 time=1331049 us) INDEX UNIQUE SCAN T_HEAP_PK (cr=96356 pr=0 pw=0 time=710295 us)(object...

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That is the nuts and bolts of a hash cluster Hash clusters are similar in concept to index clusters, except a cluster index is not used The data is the index in this case The cluster key is hashed into a block address and the data is expected to be there The important things to understand about hash clusters are as follows: The hash cluster is allocated right from the beginning Oracle will take your HASHKEYS/ trunc(blocksize/SIZE) and allocate and format that space right away As soon as the first table is put in that cluster, any full scan will hit every allocated block This is different from every other table in this respect The number of HASHKEYs in a hash cluster is a fixed size You cannot change the size of the hash table without a rebuild of the cluster.

levels of shell-scripting skill. I may want to use the more terse code types if supportability is of less concern than efficiency is. The first code example checks to see if a variable (VAR) has been set. The -z (zero) test checks to see if the length of the string variable is zero. If it is, the code resets the value of the variable to a default value.

This does not in any way limit the amount of data you can store in this cluster; it simply limits the number of unique hash keys that can be generated for this cluster That may affect performance due to unintended hash collisions if the value was set too low Range scanning on the cluster key is not available Predicates such as WHERE cluster_ key BETWEEN 50 AND 60 cannot use the hashing algorithm There are an infinite number of possible values between 50 and 60, and the server would have to generate them all to hash each one and see if there was any data there This is not possible The cluster will be full scanned if you use a range on a cluster key and have not indexed it using a conventional index.

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