I have the following psql table. In reality, it has roughly 2 billion rows.
id word lemma pos textid country_genre
1 Stuffing stuff vvg 190568 AN
2 her her appge 190568 AN
3 key key nn1 190568 AN
4 into into ii 190568 AN
5 the the at 190568 AN
6 lock lock nn1 190568 AN
7 she she appge 190568 AN
8 pushed push vvd 190568 AN
9 her her appge 190568 AN
10 way way nn1 190568 AN
11 into into ii 190568 AN
12 the the appge 190568 AN
13 house house nn1 190568 AN
14 . . 190568 AN
15 She she appge 190568 AN
16 had have vhd 190568 AN
17 also also rr 190568 AN
18 cajoled cajole vvd 190568 AN
19 her her appge 190568 AN
20 way way nn1 190568 AN
21 into into ii 190568 AN
22 the the at 190568 AN
23 home home nn1 190568 AN
24 . . 190568 AN
.. ... ... .. ... ..
I would like to create the following table, which shows all "way"-idioms with the words side-by-side and some data from the columns "country_genre", "lemma" and "pos".
country_genre word word word lemma pos word word word word word lemma pos word word
AN lock she pushed push vvd her way into the house house nn1 . she
AN had also cajoled cajole vvd her way into the home home nn1 . A
AN tried to force force vvi her way into the palace palace nn1 , officials
I use the following code (thanks to Bohemian: https://stackoverflow.com/a/47496945/3957383!):
copy(
SELECT
c1.id, c1.country_genre, c1.textid, c1.wordid, c1.word, c2.word, c3.word, c4.word, c4.lemma, c4.pos, c5.word, c6.word, c7.word, c8.word, c9.word, c9.lemma, c9.pos, c10.word, c11.word
FROM
orderedflatcorpus AS c1
JOIN orderedflatcorpus AS c2 ON c1.id + 1 = c2.id
JOIN orderedflatcorpus AS c3 ON c1.id + 2 = c3.id
JOIN orderedflatcorpus AS c4 ON c1.id + 3 = c4.id
JOIN orderedflatcorpus AS c5 ON c1.id + 4 = c5.id
JOIN orderedflatcorpus AS c6 ON c1.id + 5 = c6.id
JOIN orderedflatcorpus AS c7 ON c1.id + 6 = c7.id
JOIN orderedflatcorpus AS c8 ON c1.id + 7 = c8.id
JOIN orderedflatcorpus AS c9 ON c1.id + 8 = c9.id
JOIN orderedflatcorpus AS c10 ON c1.id + 9 = c10.id
JOIN orderedflatcorpus AS c11 ON c1.id + 10 = c11.id
WHERE
c4.pos LIKE 'vv%'
AND c5.pos = 'appge'
AND c6.word = 'way'
AND c7.pos LIKE 'i%'
AND c8.word = 'the'
AND c9.pos LIKE 'n%'
)
TO
'/home/postgres/Results/OUTPUT.csv'
DELIMITER E'\t'
csv header;
This query returns 18706 relevant constructions.
However, if I use the following code, which extracts more context (21 instead of 11 words) but is otherwise equal to the previous one, something worrying happens: I get only 18555 relevant constructions.
copy(
SELECT c1.id, c1.country_genre, c1.textid, c1.wordid, c1.word, c1.pos, c2.word, c2.pos, c3.word, c3.pos, c4.word, c4.pos, c5.word, c5.pos, c6.word, c6.pos,
c7.word, c7.pos, c8.word, c8.pos, c8.lemma, c9.word, c9.pos, c10.word, c10.pos, c11.word, c11.pos, c12.word, c12.pos, c13.word, c13.pos, c13.lemma, c14.word,
c14.pos, c15.word, c15.pos, c16.word, c16.pos, c17.word, c17.pos, c18.word, c18.pos, c19.word, c19.pos, c20.word, c20.pos, c21.word, c21.pos
FROM
orderedflatcorpus AS c1
JOIN orderedflatcorpus AS c2 ON c1.id + 1 = c2.id
JOIN orderedflatcorpus AS c3 ON c1.id + 2 = c3.id
JOIN orderedflatcorpus AS c4 ON c1.id + 3 = c4.id
JOIN orderedflatcorpus AS c5 ON c1.id + 4 = c5.id
JOIN orderedflatcorpus AS c6 ON c1.id + 5 = c6.id
JOIN orderedflatcorpus AS c7 ON c1.id + 6 = c7.id
JOIN orderedflatcorpus AS c8 ON c1.id + 7 = c8.id
JOIN orderedflatcorpus AS c9 ON c1.id + 8 = c9.id
JOIN orderedflatcorpus AS c10 ON c1.id + 9 = c10.id
JOIN orderedflatcorpus AS c11 ON c1.id + 10 = c11.id
JOIN orderedflatcorpus AS c12 ON c1.id + 11 = c12.id
JOIN orderedflatcorpus AS c13 ON c1.id + 12 = c13.id
JOIN orderedflatcorpus AS c14 ON c1.id + 13 = c14.id
JOIN orderedflatcorpus AS c15 ON c1.id + 14 = c15.id
JOIN orderedflatcorpus AS c16 ON c1.id + 15 = c16.id
JOIN orderedflatcorpus AS c17 ON c1.id + 16 = c17.id
JOIN orderedflatcorpus AS c18 ON c1.id + 17 = c18.id
JOIN orderedflatcorpus AS c19 ON c1.id + 18 = c19.id
JOIN orderedflatcorpus AS c20 ON c1.id + 19 = c20.id
JOIN orderedflatcorpus AS c21 ON c1.id + 20 = c21.id
WHERE
c8.pos LIKE 'vv%'
AND c9.pos = 'appge'
AND c10.word = 'way'
AND c11.pos LIKE 'i%'
AND c12.word = 'the'
AND c13.pos LIKE 'n%'
)
TO '/home/postgres/Results/OUTPUT.csv' DELIMITER E'\t' csv header;
I have looked at the lines which are missing in the second query but I cannot detect any pattern in what has been left out.
Does any one have an idea what might be going on here? Thanks!