Thread: raw data into table process
I am trying to record the following entries into a table. I'm curious to know if there's an efficient/effective way of doing this? This entries come from an ancient datalogger (note: separated by space and uses YY/MM/DD format to record date) Plain file sample.dat 3665 OK BS 07/08/16 07:28 3665 CC BS 07/08/16 07:29 3665 CS BS 07/08/16 07:29 3665 CS BS 07/08/16 07:29 4532 OK BS 07/08/16 07:34 4004 OK BS 07/08/16 07:51 3991 OK BS 07/08/16 07:54 This is the table that I'm adding the entries to CREATE TABLE maintenance ( maintenance_id SERIAL PRIMARY KEY, meter_id integer, status text, inspector text, inspection_date timestamp with time zone, ) -- Begin SQL Script -- First table to dump the records in CREATE TABLE dataload1 (data text) -- Dump records using \copy \copy dataload1 FROM sample.dat -- Second table to import unique records ONLY CREATE TABLE dataload2 AS SELECT DISTINCT data FROM dataload1; -- Now I update unique records into the maintenance table -- maintenance_id is SERIAL so it will be populated automatically INSERT INTO maintenance(meter_id, status, inspector, inspection_date) SELECT substr("data", 1, 4)::int , substr("data", 8, 3) , substr("data", 21, 2) , (20||substr("data", 24, 2) ||'-'|| substr("data", 27, 2) ||'-'|| substr("data", 30, 2)||' '||substr("data", 33, 5))::timestamp as inspection_date FROM dataload2 -- So the new records will also be in timestamp order ORDER BY inspection_date ; -- Some housekeeping VACUUM FULL VERBOSE ANALYZE maintenance; -- Finally, drop the temporary tables DROP TABLE dataload1 DROP TABLE dataload2 -- End SQL script Any thoughts and suggestions welcome.
Hi All , I have successfully installed pgcluster 1.7 rc7 and it is working fine . But i have got a doubt on " Single Point Failure " . I need a suggest from u all on this . For an Application which demands High Availability and no Single Point Failure and built Multi-Master Replication system , is PGCLUSTER - II a suitable option. Please suggest/support this issue . Thanks in advance . Best Regards, Trinath Somanchi. ******************************************************************************** This email message (including any attachments) is for the sole use of the intended recipient(s) and may contain confidential, proprietary and privileged information. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please immediately notify the sender by reply email and destroy all copies of the original message. Thank you. Intoto Inc.
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novice wrote: > I am trying to record the following entries into a table. I'm curious > to know if there's an efficient/effective way of doing this? This > entries come from an ancient datalogger (note: separated by space and > uses YY/MM/DD format to record date) > > Plain file sample.dat > > 3665 OK BS 07/08/16 07:28 > 3665 CC BS 07/08/16 07:29 > 3665 CS BS 07/08/16 07:29 > 3665 CS BS 07/08/16 07:29 > 4532 OK BS 07/08/16 07:34 > 4004 OK BS 07/08/16 07:51 > 3991 OK BS 07/08/16 07:54 > > > This is the table that I'm adding the entries to > > CREATE TABLE maintenance > ( > maintenance_id SERIAL PRIMARY KEY, > meter_id integer, > status text, > inspector text, > inspection_date timestamp with time zone, > ) > If your on unix, why not use those tools first? awk '{print $1 "\t" $2 "\t" $3 "\t" $4 " " $5}' sample.dat > sample.tab -- Begin SQL script CREATE TEMP TABLE maintenance_tmp ( meter_id integer, status text, inspector text, inspection_date timestamp with time zone ); SET datestyle='ymd'; \copy maintenance_tmp FROM sample.tab INSERT INTO maintenance (meter_id, status, inspector, inspection_date) SELECT DISTINCT meter_id, status, inspector, inspection_date FROM maintenance_tmp ORDER BY inpsection_date; ANALYZE maintenance; -- End SQL Script [snip] > Any thoughts and suggestions welcome. > > ---------------------------(end of broadcast)--------------------------- > TIP 6: explain analyze is your friend >