{"id":978,"date":"2014-01-02T21:29:40","date_gmt":"2014-01-02T20:29:40","guid":{"rendered":"http:\/\/www.salvis.com\/blog\/?p=978"},"modified":"2023-11-07T20:49:05","modified_gmt":"2023-11-07T19:49:05","slug":"column-less-table-access","status":"publish","type":"post","link":"https:\/\/www.salvis.com\/blog\/2014\/01\/02\/column-less-table-access\/","title":{"rendered":"Column-less Table Access"},"content":{"rendered":"\n

While writing some JUnit tests after fixing bugs in dependency analysis views, I came up with the following query:<\/p>\n\n\n\n

1) test query<\/span><\/path><\/path><\/svg><\/span>
SELECT<\/span> <\/span>owner<\/span>, object_type, object_name, operation, table_name<\/span><\/span>\n  <\/span>FROM<\/span> tvd_object_usage_v<\/span><\/span>\nMINUS<\/span><\/span>\nSELECT<\/span> <\/span>owner<\/span>, object_type, object_name, operation, table_name<\/span><\/span>\n  <\/span>FROM<\/span> tvd_object_col_usage_v<\/span><\/span><\/code><\/pre><\/div>\n\n\n\n
The first view tvd_object_usage_v contains all table\/view usages per object. The second view tvd_object_col_usages_v contains all column usages per object.<\/p>\n\n\n\n
The idea was to check the completeness of the second view tvd_object_col_usages_v. I believed that there cannot be an object usage without one or more corresponding column usages. Therefore I assumed the query above should retrieve now rows, but obviously I was plain wrong.<\/p>\n\n\n\n
Here are some examples of column-less table accesses:<\/p>\n\n\n\n
2) unrelated expression<\/span><\/path><\/path><\/svg><\/span>
SELECT<\/span> sys_guid() <\/span><\/span>\n  <\/span>FROM<\/span> dual;<\/span><\/span><\/code><\/pre><\/div>\n\n\n\n
3) all-column wildcard aggregation<\/span><\/path><\/path><\/svg><\/span>
SELECT<\/span> <\/span>COUNT<\/span>(*) <\/span><\/span>\n  <\/span>FROM<\/span> bonus;<\/span><\/span><\/code><\/pre><\/div>\n\n\n\n
4) pseudo column<\/span><\/path><\/path><\/svg><\/span>
SELECT<\/span> rownum <\/span>AS<\/span> row_num<\/span><\/span>\n  <\/span>FROM<\/span> dual<\/span><\/span>\nCONNECT<\/span> <\/span>BY<\/span> rownum <= <\/span>1000<\/span>;<\/span><\/span><\/code><\/pre><\/div>\n\n\n\n
5) Cartesian product<\/span><\/path><\/path><\/svg><\/span>
SELECT<\/span> e.empno, e.ename<\/span><\/span>\n  <\/span>FROM<\/span> emp e, dept d;<\/span><\/span><\/code><\/pre><\/div>\n\n\n\n
Based on that I’ve built the test case as follows:<\/p>\n\n\n\n
6) test setup 1\/2<\/span><\/path><\/path><\/svg><\/span>
INSERT INTO<\/span> tvd_captured_sql_t<\/span><\/span>\n   (cap_id, cap_source)<\/span><\/span>\nVALUES<\/span><\/span>\n   (-<\/span>1007<\/span>,<\/span><\/span>\n    <\/span>'SELECT sys_guid() FROM dual;<\/span><\/span>\n     SELECT COUNT(*) FROM bonus;<\/span><\/span>\n     SELECT rownum AS row_num FROM dual CONNECT BY rownum <= 1000;  <\/span><\/span>\n     SELECT e.empno, e.ename FROM emp e, dept d;'<\/span>);<\/span><\/span>\nCOMMIT<\/span>;<\/span><\/span><\/code><\/pre><\/div>\n\n\n\n
7) test setup 2\/2<\/span><\/path><\/path><\/svg><\/span>
tvdca.sh<\/span> <\/span>user=tvdca<\/span> <\/span>password=tvdca<\/span> <\/span>host=groemitz<\/span> <\/span>sid=phs112<\/span><\/span><\/code><\/pre><\/div>\n\n\n\n
8) test run and results<\/span><\/path><\/path><\/svg><\/span>
SQL> SELECT operation, table_name<\/span><\/span>\n  2    FROM tvd_sql_usage_v<\/span><\/span>\n  3   WHERE cap_id = -1007;<\/span><\/span>\n<\/span><\/span>\nOPERAT TABLE_NAME<\/span><\/span>\n------ ------------------------------<\/span><\/span>\nSELECT DUAL<\/span><\/span>\nSELECT BONUS<\/span><\/span>\nSELECT DUAL<\/span><\/span>\nSELECT EMP<\/span><\/span>\nSELECT DEPT<\/span><\/span>\n<\/span><\/span>\nSQL> SELECT operation, table_name, column_name<\/span><\/span>\n  2    FROM tvd_sql_col_usage_v<\/span><\/span>\n  3   WHERE cap_id = -1007;<\/span><\/span>\n<\/span><\/span>\nOPERAT TABLE_NAME                     COLUMN_NAME<\/span><\/span>\n------ ------------------------------ ------------------------------<\/span><\/span>\nSELECT EMP                            EMPNO<\/span><\/span>\nSELECT EMP                            ENAME<\/span><\/span>\n<\/span><\/span>\nSQL> SELECT operation, table_name<\/span><\/span>\n  2    FROM tvd_sql_usage_v<\/span><\/span>\n  3   WHERE cap_id = -1007<\/span><\/span>\n  4  MINUS<\/span><\/span>\n  5  SELECT operation, table_name<\/span><\/span>\n  6    FROM tvd_sql_col_usage_v<\/span><\/span>\n  7   WHERE cap_id = -1007;<\/span><\/span>\n<\/span><\/span>\nOPERAT TABLE_NAME<\/span><\/span>\n------ ------------------------------<\/span><\/span>\nSELECT BONUS<\/span><\/span>\nSELECT DEPT<\/span><\/span>\nSELECT DUAL<\/span><\/span><\/code><\/pre><\/div>\n\n\n\n
These tests are now part of my TVDCA<\/a> test suite to ensure column-less table access is handled appropriately ;-) <\/span><\/p>\n\n\n\n
BTW, here is an excerpt of my JUnit test:<\/p>\n\n\n\n
9) JUnit test<\/span><\/path><\/path><\/svg><\/span>
@<\/span>Test<\/span><\/span>\npublic<\/span> <\/span>void<\/span> <\/span>testColumnLessTableAccess<\/span>() {<\/span><\/span>\n\t<\/span>String<\/span> <\/span>tabSql<\/span> = <\/span>"SELECT COUNT(*) FROM tvd_sql_usage_v WHERE cap_id = -1007 AND table_name LIKE :table_name"<\/span>;<\/span><\/span>\n\t<\/span>String<\/span> <\/span>colSql<\/span> = <\/span>"SELECT COUNT(*) FROM tvd_sql_col_usage_v WHERE cap_id = -1007 AND table_name LIKE :table_name and column_name LIKE :column_name"<\/span>;<\/span><\/span>\n\t<\/span>int<\/span> <\/span>count<\/span>;<\/span><\/span>\n\t<\/span>Map<\/span><<\/span>String<\/span>, <\/span>String<\/span>> <\/span>namedParameters<\/span> = <\/span>new<\/span> <\/span>HashMap<\/span><<\/span>String<\/span>, <\/span>String<\/span>>();<\/span><\/span>\n\t<\/span>\/\/ all tables<\/span><\/span>\n\t<\/span>namedParameters<\/span>.<\/span>put<\/span>(<\/span>"table_name"<\/span>, <\/span>"%"<\/span>);<\/span><\/span>\n\t<\/span>namedParameters<\/span>.<\/span>put<\/span>(<\/span>"column_name"<\/span>, <\/span>"%"<\/span>);<\/span><\/span>\n\tcount = <\/span>jdbcTemplate<\/span>.<\/span>queryForObject<\/span>(tabSql, namedParameters,<\/span><\/span>\n\t\t\t<\/span>Integer<\/span>.<\/span>class<\/span>);<\/span><\/span>\n\t<\/span>Assert<\/span>.<\/span>assertEquals<\/span>(<\/span>5<\/span>, count);<\/span><\/span>\n\tcount = <\/span>jdbcTemplate<\/span>.<\/span>queryForObject<\/span>(colSql, namedParameters,<\/span><\/span>\n\t\t\t<\/span>Integer<\/span>.<\/span>class<\/span>);<\/span><\/span>\n\t<\/span>Assert<\/span>.<\/span>assertEquals<\/span>(<\/span>2<\/span>, count);<\/span><\/span>\n}<\/span><\/span><\/code><\/pre><\/div>\n","protected":false},"excerpt":{"rendered":"
While writing some JUnit tests after fixing bugs in dependency analysis views, I came up with the following query: The first view tvd_object_usage_v contains all table\/view usages per object. The second view tvd_object_col_usages_v contains all column usages per object. The idea was to check the completeness of the second view tvd_object_col_usages_v. I [\u2026]<\/span><\/p>\n","protected":false},"author":1,"featured_media":9540,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5],"tags":[86,95,85],"class_list":["post-978","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-oracle","tag-code-analysis","tag-plsql-analyzer","tag-sql"],"yoast_head":"\nColumn-less Table Access - Philipp Salvisberg's Blog<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.salvis.com\/blog\/2014\/01\/02\/column-less-table-access\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Column-less Table Access - Philipp Salvisberg's Blog\" \/>\n<meta property=\"og:description\" content=\"While writing some JUnit tests after fixing bugs in dependency analysis views, I came up with the following query: The first view tvd_object_usage_v contains all table\/view usages per object. 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