Examples of SQL Queries

Once data has been uploaded onto a SQL database it can be queried in a number of different ways. Here are some example queries. Note that some queries may not run on a particular relational database engine.

Find identifiers of a given type (typedefs, in this case):

select name from
ids left join tokens on ids.eid = tokens.eid
where ids.typedef = true

Number of different files that use a given identifier:

select name, count(*) as cf from (
 select fid, tokens.eid, count(*) as c from
 tokens
 group by
 eid, fid) as cl inner join ids on
cl.eid = ids.eid
group by ids.eid, ids.name
order by cf desc;

Number of times an identifier occurs in a single file:

SELECT IDS.NAME AS INAME, FILES.NAME AS FNAME, COUNT(*) AS C FROM TOKENS
INNER JOIN IDS ON
IDS.EID = TOKENS.EID
INNER JOIN FILES ON
TOKENS.FID = FILES.FID
GROUP BY IDS.EID, TOKENS.FID
ORDER BY C DESC;

Number of times an identifier occurs in the workspace:

select name, count(*) as c from tokens
inner join ids on
ids.eid = tokens.eid
group by eid
order by c desc

Reconstitute the file with fid = 4:

select s from
(select name as s, foffset  from ids inner join tokens on
ids.eid = tokens.eid where fid = 4
union select code as s, foffset from rest where fid = 4
union select comment as s, foffset from comments where fid = 4
union select string as s, foffset from strings where fid = 4
)
order by foffset

The result will have newlines in the wrong places. Piping the output through a shell script like the following can fix this problem.

sed -e '/^[0-9][0-9]* rows/d' |
tr -d '\n' |
sed 's/\\u0000d/\
/g'

The above script will massage the SQLite HSQLDB output removing the trailing N rows line and all existing newlines, and changing the embedded \u0000d sequences into newlines. For the Windows line-end conventions the same script would be:

sed -e '/^[0-9][0-9]* rows/d' |
tr -d '\n\r' |
sed 's/\\u0000d\\u0000a/\
/g'

Show the projects each identifier belongs to:

select IDS.NAME, PROJECTS.NAME from IDS
INNER JOIN IDPROJ ON IDS.EID = IDPROJ.EID
INNER JOIN PROJECTS ON IDPROJ.PID = PROJECTS.PID
ORDER BY IDS.NAME;

Show the included files required by other files for each compilation unit and project.

select
	projects.name as projname,
	cufiles.name as cuname,
	basefiles.name as basename,
	definefiles.name as defname
from
	definers inner join projects on definers.pid = projects.pid
	inner join files as cufiles on definers.cuid=cufiles.fid
	inner join  files as basefiles on definers.basefileid=basefiles.fid
	inner join files as definefiles on definers.definerid = definefiles.fid;

Speed-up processing:

create index teid on tokens(eid)
create index tfid on tokens(fid)

Obtain identifiers common between files participating in a define/use relationship:

SELECT
    tokensa.eid,
    min(ids.name) as identifier,
    min(filesb.name) as defined,
    min(filesa.name) as used
FROM definers
INNER JOIN tokens AS tokensa ON definers.basefileid = tokensa.fid
INNER JOIN tokens AS tokensb ON definers.definerid = tokensb.fid
INNER JOIN ids ON ids.eid = tokensa.eid
INNER JOIN files as filesa ON tokensa.fid = filesa.fid
INNER JOIN files as filesb ON tokensb.fid = filesb.fid
WHERE tokensa.eid = tokensb.eid
GROUP BY tokensa.eid, definerid, basefileid
ORDER BY defined, identifier

Create a function and macro call graph:

SELECT source.name AS CallingFunction, dest.name AS CalledFunction
FROM fcalls
INNER JOIN functions AS source ON fcalls.sourceid = source.id
INNER JOIN functions AS dest ON fcalls.destid = dest.id