/* * $Id: csv-sample.sql 4812 2011-11-20 21:31:49Z unsaved $ * * Create a table, CVSV-export the data, import it back. */ * *DSV_COL_DELIM = , * *DSV_COL_SPLITTER = , -- Following causes a reject report to be written if there are any bad records -- during the import. To test it, enable the "FORCE AN ERROR" block below. * *DSV_REJECT_REPORT = import.html -- 1. SETTINGS -- For applications like MS Excel, which can't import or export nulls, we have -- to dummy down our database empty strings to export and import as if they -- were nulls. * *NULL_REP_TOKEN = -- Enable following line to quote every cell value -- * *ALL_QUOTED = true -- 2. SET UP TEST DATA CREATE TABLE t (i INT, v VARCHAR(25), d DATE); INSERT INTO t(i, v, d) VALUES (1, 'one two three', null); INSERT INTO t(i, v, d) VALUES (2, null, '2007-06-24'); INSERT INTO t(i, v, d) VALUES (3, 'one,two,,three', '2007-06-24'); INSERT INTO t(i, v, d) VALUES (4, '"one"two""three', '2007-06-24'); INSERT INTO t(i, v, d) VALUES (5, '"one,two"three,', '2007-06-24'); INSERT INTO t(i, v, d) VALUES (6, '', '2007-06-24'); commit; -- 3. CSV EXPORT /* Export */ \xq t /* FORCE AN ERROR. Enable the following 3 lines to force a bad CSV record. \o t.csv \p barf \o */ -- 4. BACK UP AND ZERO SOURCE TABLE CREATE TABLE orig AS (SELECT * FROM t) WITH DATA; DELETE FROM t; commit; -- 5. CSV IMPORT \mq t.csv commit; -- 6. MANUALLY EXAMINE DIFFERENCES BETWEEN SOURCE AND IMPORTED DATA. -- See /testrun/sqltool/csv-roundtrip.sql to see a way to make -- this same comparison programmatically. * - *NULL_REP_TOKEN \p \p ORIGINAL: SELECT * FROM orig; \p \p IMPORTED: SELECT * FROM t; \p \p The empty string in the source table will have been translated to null in \p the imported data. \p You can see that the generated CSV file represents both nulls and \p empty strings as nothing, hence the convergence.