1. March 15, 2004ElizabethGallas -- D0 Luminosity Db1 D0 Luminosity Database: Status_Mask Implementation Elizabeth Gallas Fermilab Computing Division / D0 Computing and Analysis Group D0 Databases Meeting March 15, 2004

2. ElizabethGallas -- D0 Luminosity Db2 Luminosity Database Schema

3. March 15, 2004ElizabethGallas -- D0 Luminosity Db3 Tables w/ a STATUS_MASK column Table storing all status masks –STATUS_MASK_EXPLAIN Table storing a centralized STATUS_MASK –LBN (LBN) Tables with a STATUS_MASK column –LSM (LBN_STATUS_MASK) –TR (TRANSITION_RECORD) –LF (LBN_FACTOR) –RF (RANGED_FACTOR) –GSM (GROUP_STATUS_MASK) –LS (LBN_STREAM) –PFC (PRD_FILE_CHK) –LT (LBN_TRIGGER)

4. March 15, 2004ElizabethGallas -- D0 Luminosity Db4 STATUS_MASK Overview Status_Mask - what is it ? –indicate something is WRONG with that data we need to put that Mask into the DB –we also need to insert related columns that conform to DB constraints other types of ‘status’ should be indicated elsewhere Status_Mask Origin –lmValidator.py creates the online dictionaries input to the lmDB.py program Status_Mask destination –lmDb.py reads dictionary inserts into Luminosity Database Status_Mask users (clients): –Luminosity reports –lmAccess –luminosity group studies of ‘bad’ information

5. March 15, 2004ElizabethGallas -- D0 Luminosity Db5 STATUS_MASK Implementation lmVal -- they are dictionary location specific –consist of: dictionary key brief explanation (string) lmDb – put it into the appropriate DB table(s) –STATUS_MASK_EXPLAIN MASK_TYPE – pointer to ‘other’ table name BIT_POSITION – a unique identifier for that MASK_TYPE BIT_DESC – brief explanation (string) –main LBN table (?) allows us to quickly scan for good LBN’s –specific ‘other’ table The case we have right now is LBN_TRIGGER table

6. March 15, 2004ElizabethGallas -- D0 Luminosity Db6 Database considerations A table with Status_Mask –may have any number of unique SMasks need to ‘pack’ many of them into a single column historically, we would set bits in a n-bit word (bitmask) clients need to quickly parse that word for specific conditions In a DB? –string types can be searched using the ‘like clause’, while a masked bit would have to be parsed by some program. STATUS_MASK in LBN table: –[LT.1][TR.3]… STATUS_MASK in LBN_TRIGGER table: –[1] STATUS_MASK in TRANSITION_RECORD table: –[3] –DB experts may comment…