java data matrix reader

java data matrix

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This example connects to the foods.db database, queries the episodes table, and prints out all columns of all records within it. Keep in mind this is a simplified example there are a few other things we need to check for when calling sqlite3_step(), such as errors and busy conditions, but we will address them later. Like sqlite3_exec(), sqlite3_prepare_v2() can accept a string containing multiple SQL statements. However, unlike sqlite3_exec(), it will process only the first statement in the string. But it does make it easy for you to process subsequent SQL statements in the string by providing the pzTail out parameter. After you call sqlite3_prepare(), it will point this parameter (if provided) to the starting position of the next statement in the zSQL string. Using pzTail, processing a batch of SQL commands in a given string can be executed in a loop as follows: while(sqlite3_complete(sql) ){ rc = sqlite3_prepare(db, sql, -1, &stmt, &tail); /* Process query results */ /* Skip to next command in string. */ sql = tail;

Table created. ops$tkyte@ORA11GR2> create index t_idx on 2 t(owner,object_type,object_name); Index created. ops$tkyte@ORA11GR2> analyze index t_idx validate structure;; Index analyzed. We then create an IDX_STATS table in which to save INDEX_STATS information, and we label the rows in the table as noncompressed : ops$tkyte@ORA11GR2> create table idx_stats 2 as 3 select 'noncompressed' what, a.* 4 from index_stats a; Table created. Now, we could realize that the OWNER component is repeated many times, meaning that a single index block in this index will have dozens of entries, as shown in Figure 11-2.

Figure 11-2. Index block with OWNER column repeated We could factor the repeated OWNER column out of this, resulting in a block that looks more like Figure 11-3.

Select a cell in the source data, and then while holding down the Ctrl key, press the A key to select Tip

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In Figure 11-3, the owner name appears once on the leaf block not once per repeated entry. We run the following script, passing in the number 1, to re-create the scenario whereby the index is using compression on just the leading column: drop index t_idx; create index t_idx on t(owner,object_type,object_name) compress &1; analyze index t_idx validate structure; insert into idx_stats select 'compress &1', a.* from index_stats a; For comparison reasons, we run this script not only with one column, but also two and three compressed columns, to see what happens. At the end, we query IDX_STATS and should observe this: ops$tkyte@ORA11GR2> select what, height, lf_blks, br_blks, 2 btree_space, opt_cmpr_count, opt_cmpr_pctsave 3 from idx_stats 4 / WHAT HEIGHT LF_BLKS BR_BLKS BTREE_SPACE OPT_CMPR_COUNT OPT_CMPR_PCTSAVE ------------- ------ ------- ------- ----------- -------------- ---------------noncompressed 3 351 3 2830680 2 28 compress 1 3 314 3 2533572 2 19 compress 2 2 253 1 2030004 2 0 compress 3 3 393 3 3164940 2 3535 We see that the COMPRESS 1 index is about 89 percent the size of the noncompressed index (comparing BTREE_SPACE). The number of leaf blocks has decreased measurably. Further, when we use COMPRESS 2, the savings are even more impressive. The resulting index is about 72 percent the size of the original, and so much data is able to be placed on individual blocks that the height of the index actually decreased from 3 to 2. In fact, using the column OPT_CMPR_PCTSAVE, which stands for optimum compression percent saved or the expected savings from compression, we could have guessed the size of the COMPRESS 2 index: ops$tkyte%ORA11GR2> select 2830680*(1-0.28) from dual; 2830680*(1-0.28) ---------------2038089.6

This example uses another API function not yet covered sqlite3_complete(), which does as its name suggests. It takes a string and returns true if there is at least one complete (but not necessarily valid) SQL statement in it, and it returns false otherwise. In reality, sqlite_complete() looks for a semicolon terminator for the string (and accounting for literals in the SQL). So, although its name suggests some kind of infallible observer checking your statements, it s really just a handy tool for things such as showing you the continuation prompt in the sqlite command line when writing multiline statements and doing other similar useful tasks.

But notice what happens with COMPRESS 3. The resulting index is actually larger: 110 percent the size of the original index. This is due to the fact that each repeated prefix we remove saves the space of N

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