Find the first 10 cars in the index:
SELECT * FROM cars;
This query searches for the top 10 cars, sorted by time, from index cars. All columns are selected. Number 10 is the default number of results to be returned, and time is the default order-by column.
Results:
+---------------+---------------------------------+ ... +-------+ | category | city | | uid | +---------------+---------------------------------+ ... +-------+ | station wagon | u.s.a./florida/tampa | | 14999 | | compact | u.s.a./florida/tampa | | 0 | | exotic | u.s.a./florida/tampa | | 242 | | compact | u.s.a./texas/houston | | 1 | | compact | u.s.a./california/sunnyvale | | 241 | | compact | u.s.a./texas/houston | | 2 | | exotic | u.s.a./california/san francisco | | 244 | | compact | u.s.a./california/san francisco | | 243 | | compact | u.s.a./california/sacramento | | 3 | | compact | u.s.a./california/san diego | | 4 | +---------------+---------------------------------+ ... +-------+ 10 rows in set, 15000 hits, 15000 total docs (server: 20ms, total: 68ms)
You can use the limit clause in a query to specify the starting offset and number of documents to be returned in the results. By default, the starting offset is 0, and number of results to be returned is 10. If only one number is specified in the limit clause, then it is treated the number of results.
The limit clause is mainly used for pagination on search result age.
Find the next 10 cars starting from offset 5:
SELECT * FROM cars LIMIT 5, 10
Results:
+----------+---------------------------------+ ... +-----+ | category | city | | uid | +----------+---------------------------------+ ... +-----+ | compact | u.s.a./texas/houston | | 2 | | exotic | u.s.a./california/san francisco | | 244 | | compact | u.s.a./california/sacramento | | 3 | | exotic | china/beijing | | 245 | | compact | u.s.a./california/san diego | | 4 | | exotic | u.s.a./new york/rochester | | 246 | | compact | china/shanghai | | 5 | | exotic | u.s.a./new york/binghamton | | 247 | | compact | u.s.a./utah/salt lake city | | 6 | | exotic | china/shanghai | | 248 | +----------+---------------------------------+ ... +-----+ 10 rows in set, 15000 hits, 15000 total docs (server: 10ms, total: 60ms)
Just get the top 3 results:
SELECT * FROM cars LIMIT 3
Results:
+----------+-----------------------------+ ... +-----+ | category | city | | uid | +----------+-----------------------------+ ... +-----+ | compact | u.s.a./california/sunnyvale | | 1 | | compact | u.s.a./florida/tampa | | 0 | | exotic | u.s.a./florida/tampa | | 242 | +----------+-----------------------------+ ... +-----+ 3 rows in set, 15001 hits, 15001 total docs (server: 7ms, total: 27ms)
Find all red cars:
SELECT color, year, makemodel FROM cars WHERE color = "red"
Results:
+-------+----------------------+------------------------+ | color | year | makemodel | +-------+----------------------+------------------------+ | red | 00000000000000001996 | european/bentley/azure | | red | 00000000000000001995 | european/bentley/azure | | red | 00000000000000002000 | european/bentley/azure | | red | 00000000000000001995 | european/bentley/azure | | red | 00000000000000001994 | european/bentley/azure | | red | 00000000000000001995 | asian/acura/3.2tl | | red | 00000000000000001996 | asian/acura/3.2tl | | red | 00000000000000001999 | european/bentley/azure | | red | 00000000000000002002 | european/bentley/azure | | red | 00000000000000001996 | asian/acura/integra | +-------+----------------------+------------------------+ 10 rows in set, 2160 hits, 15000 total docs (server: 5ms, total: 41ms)
Find all red and blue cars:
SELECT color, year, makemodel FROM cars WHERE color in ("red", "blue")
Results:
+-------+----------------------+------------------------+ | color | year | makemodel | +-------+----------------------+------------------------+ | blue | 00000000000000001999 | asian/acura/tl | | red | 00000000000000001996 | european/bentley/azure | | blue | 00000000000000001998 | asian/acura/tl | | red | 00000000000000001995 | european/bentley/azure | | blue | 00000000000000001995 | asian/acura/1.6el | | red | 00000000000000002000 | european/bentley/azure | | blue | 00000000000000001993 | asian/acura/3.2tl | | blue | 00000000000000001998 | asian/acura/tl | | red | 00000000000000001995 | european/bentley/azure | | red | 00000000000000001994 | european/bentley/azure | +-------+----------------------+------------------------+ 10 rows in set, 3264 hits, 15000 total docs (server: 4ms, total: 33ms)
Find all 1999 or 2000 cars that are not black nor red:
SELECT color, year, makemodel FROM cars WHERE color not in ("black", "red") AND year BETWEEN 1999 AND 2000
Results:
+--------+----------------------+------------------------+ | color | year | makemodel | +--------+----------------------+------------------------+ | blue | 00000000000000001999 | asian/acura/tl | | white | 00000000000000001999 | asian/acura/1.6el | | yellow | 00000000000000001999 | asian/acura/3.2tl | | silver | 00000000000000002000 | asian/acura/3.5rl | | silver | 00000000000000002000 | asian/acura/3.5rl | | yellow | 00000000000000002000 | asian/acura/integra | | yellow | 00000000000000002000 | asian/acura/integra | | yellow | 00000000000000002000 | european/bentley/azure | | yellow | 00000000000000002000 | european/bentley/azure | | yellow | 00000000000000002000 | asian/acura/tl | +--------+----------------------+------------------------+ 10 rows in set, 1934 hits, 15000 total docs (server: 4ms, total: 35ms)
Find all cars in New York state:
SELECT color, city, price FROM cars WHERE city in ("u.s.a./new york")
Results:
+--------+----------------------------+-------------------------+ | color | city | price | +--------+----------------------------+-------------------------+ | white | u.s.a./new york/albany | 00000000000000007500.00 | | red | u.s.a./new york/rochester | 00000000000000014500.00 | | green | u.s.a./new york/syracuse | 00000000000000009500.00 | | yellow | u.s.a./new york/binghamton | 00000000000000007200.00 | | blue | u.s.a./new york/new york | 00000000000000009300.00 | | yellow | u.s.a./new york/new york | 00000000000000015400.00 | | yellow | u.s.a./new york/new york | 00000000000000015200.00 | | black | u.s.a./new york/albany | 00000000000000009200.00 | | gold | u.s.a./new york/new york | 00000000000000011100.00 | | red | u.s.a./new york/rochester | 00000000000000009500.00 | +--------+----------------------------+-------------------------+ 10 rows in set, 2781 hits, 15000 total docs (server: 5ms, total: 37ms)
Find all cars tagged with
both "cool"
and "hybrid"
but not "favorite"
:
SELECT tags, price from cars WHERE tags CONTAINS ALL ("cool", "hybrid") EXCEPT("favorite") LIMIT 5
Results:
+----------------------------------+-------------------------+ | tags | price | +----------------------------------+-------------------------+ | automatic,cool,hybrid,reliable | 00000000000000009400.00 | | cool,hybrid,moon-roof,navigation | 00000000000000011500.00 | | automatic,cool,hybrid,reliable | 00000000000000006300.00 | | cool,hybrid,moon-roof,reliable | 00000000000000006500.00 | | cool,hybrid,moon-roof,reliable | 00000000000000007100.00 | +----------------------------------+-------------------------+ 5 rows in set, 491 hits, 15000 total docs (server: 9ms, total: 28ms)
Find all cars tagged with
either "cool"
or
"hybrid"
but not
"mp3"
:
SELECT tags, price FROM cars WHERE tags IN ("cool", "hybrid") EXCEPT ("mp3") LIMIT 5
Results:
+----------------------------------------------+-------------------------+ | tags | price | +----------------------------------------------+-------------------------+ | hybrid,leather,moon-roof,reliable | 00000000000000007500.00 | | automatic,chick magnet,cool,highend,reliable | 00000000000000014200.00 | | cool,electric,favorite,navigation | 00000000000000007300.00 | | cool,electric,favorite,reliable | 00000000000000007200.00 | | automatic,hybrid,leather,reliable | 00000000000000007100.00 | +----------------------------------------------+-------------------------+ 5 rows in set, 8176 hits, 15000 total docs (server: 6ms, total: 25ms)
You can sort the search result based on one or more columns, in either ascending (the default) or descending order.
Find the top 5 cheapest but newest cars.
SELECT year, makemodel, price FROM cars ORDER BY year desc, price LIMIT 5
Results:
+----------------------+-------------------------------+-------------------------+ | year | makemodel | price | +----------------------+-------------------------------+-------------------------+ | 00000000000000002002 | asian/subaru/justy | 00000000000000002100.00 | | 00000000000000002002 | asian/subaru/justy | 00000000000000002100.00 | | 00000000000000002002 | north american/dodge/colt | 00000000000000002400.00 | | 00000000000000002002 | north american/mercury/tracer | 00000000000000002400.00 | | 00000000000000002002 | north american/mercury/tracer | 00000000000000002500.00 | +----------------------+-------------------------------+-------------------------+ 5 rows in set, 15000 hits, 15000 total docs (server: 22ms, total: 50ms)
Find the top 5 most expensive but oldest cars:
SELECT year, makemodel, price FROM cars ORDER BY year asc, price desc LIMIT 5
Results:
+----------------------+-----------------------------+-------------------------+ | year | makemodel | price | +----------------------+-----------------------------+-------------------------+ | 00000000000000001993 | european/ferrari/360 modena | 00000000000000019500.00 | | 00000000000000001993 | asian/acura/nsx | 00000000000000019500.00 | | 00000000000000001993 | european/aston martin/db7 | 00000000000000019500.00 | | 00000000000000001993 | european/ferrari/360 modena | 00000000000000019500.00 | | 00000000000000001993 | asian/acura/nsx | 00000000000000019500.00 | +----------------------+-----------------------------+-------------------------+ 5 rows in set, 15000 hits, 15000 total docs (server: 5ms, total: 27ms)
In the WHERE clause, you can add a condition for full text search, which is called a (text) query. This condition is to find the documents that contain matching text. You can use Lucene Query Syntax in the text string that you search on.
Find all the cars that are tagged with "hybrid" and "navigation":
SELECT tags, makemodel FROM cars WHERE QUERY IS "hybrid AND navigation"
Results:
+-------------------------------------+----------------------------+ | tags | makemodel | +-------------------------------------+----------------------------+ | hybrid,leather,moon-roof,navigation | asian/acura/tl | | favorite,hybrid,mp3,navigation | asian/acura/tl | | favorite,hybrid,mp3,navigation | asian/acura/3.2tl | | favorite,hybrid,mp3,navigation | asian/acura/tl | | cool,hybrid,moon-roof,navigation | asian/acura/tl | | cool,favorite,hybrid,navigation | asian/acura/vigor | | automatic,cool,hybrid,navigation | asian/acura/vigor | | cool,hybrid,moon-roof,navigation | asian/acura/vigor | | cool,hybrid,moon-roof,navigation | north american/asuna/se/gt | | automatic,hybrid,leather,navigation | european/saab/900 | +-------------------------------------+----------------------------+ 10 rows in set, 778 hits, 15000 total docs (server: 186ms, total: 209ms)
A more complicated example:
SELECT color, tags, city FROM cars WHERE QUERY IS "(hybrid OR mooon-roof) AND mp3 NOT cool NOT navigation" AND city in ("u.s.a./new york") AND color = "red"
Results:
+-------+-------------------------------+----------------------------+ | color | tags | city | +-------+-------------------------------+----------------------------+ | red | automatic,hybrid,mp3,reliable | u.s.a./new york/new york | | red | hybrid,moon-roof,mp3,reliable | u.s.a./new york/buffalo | | red | favorite,hybrid,mp3,reliable | u.s.a./new york/syracuse | | red | favorite,hybrid,mp3,reliable | u.s.a./new york/buffalo | | red | automatic,hybrid,mp3,reliable | u.s.a./new york/syracuse | | red | favorite,hybrid,mp3,reliable | u.s.a./new york/binghamton | | red | automatic,hybrid,mp3,reliable | u.s.a./new york/syracuse | +-------+-------------------------------+----------------------------+ 7 rows in set, 7 hits, 15000 total docs (server: 17ms, total: 44ms)
You can group the search results of a query by one facet, which can be a simple column or a facet built upon a group of columns. You can also specify how many hits you want to keep in each group (the default is 10).
Find the first 10 groups of cars, with 2 hits in each group:
SELECT category, city, makemodel FROM cars GROUP BY category TOP 2
Results:
======================================================================================== | category | city | makemodel | ======================================================================================== | compact | u.s.a./texas/houston | asian/acura/tl | | compact | u.s.a./florida/tampa | asian/acura/1.6el | +---------------+---------------------------------+------------------------------------+ | exotic | u.s.a./florida/tampa | european/bentley/azure | | exotic | u.s.a./california/san francisco | european/bentley/azure | +---------------+---------------------------------+------------------------------------+ | luxury | u.s.a./florida/orlando | asian/acura/3.5rl | | luxury | u.s.a./new york/rochester | asian/acura/3.5rl | +---------------+---------------------------------+------------------------------------+ | sports car | u.s.a./california/sunnyvale | asian/acura/integra | | sports car | u.s.a./texas/austin | asian/acura/integra | +---------------+---------------------------------+------------------------------------+ | sedan | china/beijing | north american/eagle/vision | | sedan | australia/perth | north american/eagle/vision | +---------------+---------------------------------+------------------------------------+ | suv | china/shanghai | north american/ford/bronco | | suv | u.s.a./california/sacramento | north american/ford/bronco | +---------------+---------------------------------+------------------------------------+ | van | u.s.a./florida/palm beach | north american/ford/club wagon | | van | u.s.a./new york/albany | north american/ford/club wagon | +---------------+---------------------------------+------------------------------------+ | truck | u.s.a./utah/provo | asian/mazda/b-series | | truck | australia/melbourn | asian/isuzu/pickup | +---------------+---------------------------------+------------------------------------+ | station wagon | u.s.a./texas/dallas | north american/saturn/sw | | station wagon | u.s.a./california/san jose | north american/saturn/sw | +---------------+---------------------------------+------------------------------------+ | mini-van | u.s.a./texas/austin | north american/chevrolet/astro van | | mini-van | u.s.a./california/san jose | north american/chevrolet/astro van | +---------------+---------------------------------+------------------------------------+ ======================================================================================== 10 groups in set, 15000 hits, 15000 total docs (server: 55ms, total: 130ms)
Find the numbers of cars in different categories:
SELECT category, grouphitscount FROM cars GROUP BY category top 1
Results:
+---------------+----------------+ | category | grouphitscount | +---------------+----------------+ | compact | 4169 | | exotic | 1902 | | luxury | 2735 | | sports car | 1494 | | sedan | 990 | | suv | 1449 | | van | 168 | | truck | 611 | | station wagon | 186 | | mini-van | 869 | +---------------+----------------+ 10 rows in set, 15000 hits, 15000 total docs (server: 3ms, total: 38ms)
BQL is designed to support faceted search, so we have to make it possible to get facet information along with the search results. This can be done using the Browse By clause, where you can specify one or more facets for which you want to get the facet count information. For each facet in the Browse By clause, you can optionally include
whether the selection is expanded (default false)
the minimum number of hit counts (default 1)
the maximum number of hit counts (default 10)
facet ordering method ("hits" or "value") (default "hits")
Here is an example:
Query:
SELECT color, year, tags, price FROM cars WHERE QUERY IS "cool" AND tags CONTAINS ALL ("cool", "hybrid") EXCEPT ("favorite") AND color in ("red") ORDER BY price desc LIMIT 0,10 BROWSE BY color(true, 1, 10, hits), year(true, 1, 10, value), price
Results:
+-------+----------------------+----------------------------------+-------------------------+ | color | year | tags | price | +-------+----------------------+----------------------------------+-------------------------+ | red | 00000000000000002000 | cool,hybrid,moon-roof,navigation | 00000000000000014500.00 | | red | 00000000000000001993 | cool,hybrid,moon-roof,navigation | 00000000000000014400.00 | | red | 00000000000000002002 | automatic,cool,hybrid,navigation | 00000000000000014200.00 | | red | 00000000000000001998 | automatic,cool,hybrid,navigation | 00000000000000012100.00 | | red | 00000000000000002002 | automatic,cool,hybrid,reliable | 00000000000000011500.00 | | red | 00000000000000002002 | automatic,cool,hybrid,reliable | 00000000000000011400.00 | | red | 00000000000000001998 | automatic,cool,hybrid,reliable | 00000000000000011400.00 | | red | 00000000000000001996 | automatic,cool,hybrid,reliable | 00000000000000011200.00 | | red | 00000000000000001999 | automatic,cool,hybrid,reliable | 00000000000000011100.00 | | red | 00000000000000002001 | cool,hybrid,moon-roof,reliable | 00000000000000010500.00 | +-------+----------------------+----------------------------------+-------------------------+ 10 rows in set, 59 hits, 15000 total docs (server: 337ms, total: 372ms) +-------------+ | color | +-------------+ | white (73) | | yellow (73) | | blue (62) | | silver (61) | | red (59) | | green (58) | | gold (53) | | black (52) | +-------------+ +-----------------------+ | price | +-----------------------+ | [6800 TO 9900] (27) | | [* TO 6700] (21) | | [10000 TO 13100] (8) | | [13200 TO 17300] (3) | +-----------------------+ +---------------------+ | year | +---------------------+ | [1993 TO 1994] (16) | | [1995 TO 1996] (13) | | [1997 TO 1998] (10) | | [1999 TO 2000] (9) | | [2001 TO 2002] (11) | +---------------------+
In a faceted search system, a run-time facet handler usually requires initialization parameter(s) to be provided at search time for each query. For example, in a search system that searches LinkedIn shares or Twitter tweets, one or more run-time facets usually require the searcher to provide his/her user Id (or user name) and the time when the search is performed.
One run-time facet may need multiple initialization parameters, each of which has a different name and/or a different data type. These parameters can be specified in the SELECT statement using the GIVEN FACET PARAM clause. Every parameter is specified in the clause as a 4-tuple, (facet-name, param-name, param-type, param-value).
On a search system for LinkedIn shares, find recent updates from member 12345678 himself (i.e. value 0 for the Network facet) and all his first degree connections (i.e. value 1 for the Network facet) in US:
SELECT uid, Network, userid, country FROM shares WHERE country = "us" AND Network in (0, 1) GIVEN FACET PARAM (Network, "member_id", int, 12345678)
Results:
+---------------------+---------+----------------------+---------+ | uid | Network | userid | country | +---------------------+---------+----------------------+---------+ | 5527797854963249152 | 0 | 00000000000012345678 | us | | 5527805402646839296 | 1 | 00000000000042593551 | us | | 5527816561408086016 | 0 | 00000000000012345678 | us | | 5527825082430267392 | 1 | 00000000000022593551 | us | | 5527829323551084544 | 0 | 00000000000012345678 | us | | 5527848889647902720 | 1 | 00000000000004730909 | us | | 5527853965330358272 | 1 | 00000000000004730909 | us | | 5527884781573898240 | 1 | 00000000000026325826 | us | | 5527487070454427648 | 0 | 00000000000012345678 | us | | 5527488521884930048 | 0 | 00000000000012345678 | us | +---------------------+---------+----------------------+---------+ 10 rows in set, 14 hits, 10749644 total docs (server: 432ms, total: 472ms)