Question

I have an MS Access database that contains translated sentences in source-target pairs (a translation memory for fellow users of CAT tools). Somewhat annoyingly, source and target are not stored in separate columns, but in rows linked by ID, like this:

+---+----+--------------+
|id |lang|    text      |
+---+----+--------------+
  1   a     lang a text
  1   b     lang b text 
  2   a     more a text...
  2   b     more b text...
+---+----+--------------+

What SQL could I use to turn that into a table such as:

+---+--------------+--------------+
|id | lang A       | lang B       |
+---+--------------+--------------+
 1   lang a text    lang b text
 2   more a text... more b text...

Performance doesn't matter here, since would I only need to do this once in a while, and the db isn't huge (only a few thousand rows).

Was it helpful?

Solution

A crosstab query should suit.

TRANSFORM First([Text]) AS LangText
SELECT ID, First([Text])
FROM Table 
GROUP BY ID
PIVOT lang

Further information: http://allenbrowne.com/ser-67.html

OTHER TIPS

You need a self-join:

SELECT
    t1.id, t1.text AS lang_a, t2.text AS lang_b
FROM
    lang_table AS t1
INNER JOIN
    lang_table AS t2
ON
    (t1.id = t2.id)
WHERE
    t1.lang = 'a'
AND
    t2.lang = 'b'
select a.id, a.text as 'lang A', b.text as 'lang B'
from table a join table b on (a.id = b.id)
where a.lang = 'a' and b.lang = 'b';

where "table" is whatever table these are in.

SELECT a.id,
MAX(CASE WHEN a.lang LIKE 'a' THEN a.text) AS Lang A,
MAX(CASE WHEN a.lang LIKE 'a' THEN a.text) AS Lang A
FROM table a
GROUP BY a.id
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