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CHAPTER 12 DATATYPES
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Fetch 0 ------- -----total 101
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0.00 0.00 0 0 0 -------- ---------- ---------- ---------- ---------0.03 0.04 2 200 220
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0 ---------100
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Rows Row Source Operation ------- --------------------------------------------------0 UPDATE T (cr=2 pr=1 pw=0 time=0 us) 1 INDEX UNIQUE SCAN SYS_C0020587 (cr=2 pr=1 pw=0 time=0 us cost=1 ******************************************************************************** UPDATE T SET OUT_ROW = TO_CHAR(SYSDATE,'dd-mon-yyyy hh24:mi:ss') WHERE ID = :B1 call count ------- -----Parse 1 Execute 100 Fetch 0 ------- -----total 101 Rows ------0 1 cpu elapsed disk query current -------- ---------- ---------- ---------- ---------0.00 0.00 0 0 0 0.12 0.17 3 1503 2246 0.00 0.00 0 0 0 -------- ---------- ---------- ---------- ---------0.12 0.17 3 1503 2246 rows ---------0 100 0 ---------100
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Row Source Operation --------------------------------------------------UPDATE T (cr=12 pr=1 pw=1 time=0 us) INDEX UNIQUE SCAN SYS_C0020587 (cr=2 pr=0 pw=0 time=0 us cost=1 Max. Wait ---------0.00 Total Waited -----------0.00
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Elapsed times include waiting on following events: Event waited on Times ---------------------------------------Waited direct path write 91
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As we can see, the update of the out-of-line LOB consumed measurably more resources. It spent some amount of time doing direct path writes (physical I/O) and performed many more current mode gets as well as query mode gets. These were in response to the fact that the LOBINDEX and LOBSEGMENT had to be maintained in addition to the table itself. The INSERT activity shows the same disparity: INSERT INTO T (ID, IN_ROW) VALUES ( S.NEXTVAL, 'Hello World' ) call count cpu elapsed disk query current rows ------- ------ -------- ---------- ---------- ---------- ---------- ---------Parse 1 0.00 0.00 0 0 0 0 Execute 100 0.02 0.02 0 4 318 100 Fetch 0 0.00 0.00 0 0 0 0 ------- ------ -------- ---------- ---------- ---------- ---------- ---------total 101 0.02 0.02 0 4 318 100 ******************************************************************************** INSERT INTO T (ID,OUT_ROW) VALUES ( S.NEXTVAL, 'Hello World' ) call count ------- -----Parse 1 Execute 100 Fetch 0 ------- -----total 101 cpu elapsed disk query current -------- ---------- ---------- ---------- ---------0.00 0.00 0 0 0 0.11 0.11 1 1009 1552 0.00 0.00 0 0 0 -------- ---------- ---------- ---------- ---------0.11 0.11 1 1009 1552 rows ---------0 100 0 ---------100
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CHAPTER 12 DATATYPES
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Elapsed times include waiting on following events: Event waited on Times ---------------------------------------Waited direct path write 100
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Max. Wait ---------0.00
Total Waited -----------0.00
Note the increased I/O usage, both on the read and writes. All in all, this shows that if you use a CLOB, and many of the strings are expected to fit in the row (i.e., will be less than 4,000 bytes), then using the default of ENABLE STORAGE IN ROW is a good idea.
CHUNK Clause
The CREATE TABLE statement returned from DBMS_METADATA previously included the following: LOB ("TXT") STORE AS BASICFILE ( CHUNK 8192 ) LOBs are stored in chunks; the index that points to the LOB data points to individual chunks of data. Chunks are logically contiguous sets of blocks and are the smallest unit of allocation for LOBs, whereas normally a block is the smallest unit of allocation. The CHUNK size must be an integer multiple of your Oracle blocksize this is the only valid value. You must take care to choose a CHUNK size from two perspectives. First, each LOB instance (each LOB value stored out of line) will consume at least one CHUNK. A single CHUNK is used by a single LOB value. If a table has 100 rows and each row has a LOB with 7KB of data in it, you can be sure that there will be 100 chunks allocated. If you set the CHUNK size to 32KB, you will have 100 32KB chunks allocated. If you set the CHUNK size to 8KB, you will have (probably) 100 8KB chunks allocated. The point is, a chunk is used by only one LOB entry (two LOBs will not use the same CHUNK). If you pick a chunk size that does not meet your expected LOB sizes, you could end up wasting an excessive amount of space. For example, if you have that table with 7KB LOBs on average, and you use a CHUNK size of 32KB, you will be wasting approximately 25KB of space per LOB instance. On the other hand, if you use an 8KB CHUNK, you will minimize any sort of waste. You also need to be careful when you want to minimize the number of CHUNKs you have per LOB instance. As you have seen, there is a LOBINDEX used to point to the individual chunks, and the more chunks you have, the larger this index is. If you have a 4MB LOB and use an 8KB CHUNK, you will need at least 512 CHUNKs to store that information. This means you need at least enough LOBINDEX entries to point to these chunks. It might not sound like a lot until you remember this is per LOB instance; if you have thousands of 4MB LOBs, you now have many thousands of entries. This will also affect your retrieval performance, as it takes longer to read and manage many small chunks than it takes to read fewer, but larger, chunks. The ultimate goal is to use a CHUNK size that minimizes your waste, but also efficiently stores your data.
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