def incrementalIndexingJob(commitNonblocking=0):
"""the incremental indexing job scans for changed bibliographic records from Horizon and updates
them accordingly in Solr."""
bibsToUpdate = horizonItemStatus.getChangedBibs(doDelete=0)
print "\n[%s] updating %s bibs" % (time.ctime(), len(bibsToUpdate))
bibCount = 0
recordBatch = []
for bibOn in bibsToUpdate:
bibCount += 1
availAt = horizonItemStatus.availableAt(bibOn)
newRecordOn = horizonItemStatus.updateSolrRecordAvailability(bibOn,
availAt,
doPost=0)
recordBatch.append(newRecordOn)
# now delete item from queue
horizonItemStatus.deleteFromIndexQueue(bibOn)
print "-",
if ((bibCount % SOLR_INDEX_BATCH_SIZE) == 0):
data = u''.join(recordBatch)
print "*",
resp = solrConnection.postURL(SOLR_UPDATE_URL,
"<add>%s</add>" % data)
recordBatch = []
print("+%s+" % bibOn),
# now do last batch
if len(recordBatch) > 0:
data = u''.join(recordBatch)
resp = solrConnection.postURL(SOLR_UPDATE_URL, "<add>%s</add>" % data)
if bibCount > 0:
print "\n[%s] done updating bibs, now committing" % time.ctime()
try:
if commitNonblocking:
solrConnection.commitNonblocking()
else:
solrConnection.commit()
except IOError:
print "Connection reset when talking to Solr, skipping this commit and sleeping 10 sec."
time.sleep(10)
print "[%s] done committing" % time.ctime()
else:
print "[%s] no bibs updated, exiting" % time.ctime()
return bibCount
def incrementalIndexingJob(commitNonblocking=0):
"""the incremental indexing job scans for changed bibliographic records from Horizon and updates
them accordingly in Solr."""
bibsToUpdate = horizonItemStatus.getChangedBibs(doDelete=0)
print "\n[%s] updating %s bibs" % ( time.ctime(), len(bibsToUpdate) )
bibCount = 0
recordBatch = []
for bibOn in bibsToUpdate:
bibCount +=1
availAt = horizonItemStatus.availableAt( bibOn )
newRecordOn = horizonItemStatus.updateSolrRecordAvailability( bibOn, availAt, doPost = 0)
recordBatch.append( newRecordOn )
# now delete item from queue
horizonItemStatus.deleteFromIndexQueue( bibOn )
print "-",
if ( (bibCount % SOLR_INDEX_BATCH_SIZE) == 0):
data = u''.join( recordBatch )
print "*",
resp = solrConnection.postURL( SOLR_UPDATE_URL, "<add>%s</add>" % data )
recordBatch = []
print ("+%s+" % bibOn) ,
# now do last batch
if len(recordBatch) > 0:
data = u''.join( recordBatch )
resp = solrConnection.postURL( SOLR_UPDATE_URL, "<add>%s</add>" % data )
if bibCount > 0:
print "\n[%s] done updating bibs, now committing" % time.ctime()
try:
if commitNonblocking:
solrConnection.commitNonblocking()
else:
solrConnection.commit()
except IOError:
print "Connection reset when talking to Solr, skipping this commit and sleeping 10 sec."
time.sleep(10)
print "[%s] done committing" % time.ctime()
else:
print "[%s] no bibs updated, exiting" % time.ctime()
return bibCount
def processFilesInDirectory(dirName, anselUnicodeConverter = None, commitNonblocking =0, numThreads = 1, deleteAfterIndexing = 1):
"""processes MARC and PMS files in the indexer-queue directory. If numThreads > 1
it will try to parallelize the MARC record processing (but not PMS indexing -- no reason for that)
"""
pmsFiles = glob.glob( "%s/PMS*.DAT" % dirName )
updatedAnyRecords = 0
count= 0
for fileOn in pmsFiles:
print "processing PMS file %s" % fileOn
processedFilenameOn, deletedBibsOn = processPMSFile(fileOn)
if processedFilenameOn:
print "processing MARC file %s" % processedFilenameOn
indexerDriver.processFile( processedFilenameOn, anselUnicodeConverter )
# now that we are done processing the file, we delete it.
print "deleting MARC file %s " % processedFilenameOn
os.remove( processedFilenameOn )
print "deleting PMS file %s" % fileOn
os.remove( fileOn )
if deletedBibsOn:
print "processing deleted bibs from MARC file %s" % processedFilenameOn
for bibOn in deletedBibsOn:
print "deleting bib %s" % bibOn
indexerDriver.deleteRecord( bibOn )
updatedAnyRecords = 1
else:
print "no records to index"
os.remove( fileOn )
print "[%s] now checking for MARC files" % time.ctime()
_marcFiles = glob.glob( "%s/*.MARC" % dirName)
_marcFiles += glob.glob ("%s/*.marc" % dirName )
_marcFiles += glob.glob ("%s/*.dat" % dirName )
_marcFiles += glob.glob ("%s/*.DAT" % dirName )
_marcFiles += glob.glob( "%s/*scriblio*" % dirName )
# dedupe _marcFiles here incase a file matches more than one glob
# using a dictionary is the fastest way to dedupe a list with Jython
marcFileDict = {}
for fileOn in _marcFiles:
marcFileDict[fileOn] = None
marcFiles = marcFileDict.keys()
marcFiles.sort()
numMarcFiles = len(marcFiles)
print "[%s] found %d files to process." % (time.ctime(), numMarcFiles )
if numThreads == 1:
for fileOn in marcFiles:
print "processing MARC file %s" % fileOn
count = indexerDriver.processFile( fileOn, anselUnicodeConverter, nonblocking=1 ) # csdebug: added nonblocking here
updatedAnyRecords = 1
if deleteAfterIndexing:
os.remove( fileOn )
elif numThreads >= numMarcFiles:
# spin off a thread for each one
# was getting weird problems with multithreading (AttributeErrors when trying to iterate
# over all controlFields in MARC record -- trying separate anselUnicodeConverters to see if that's the issue.
threads = []
threadrefs = []
i = 0
for fileOn in marcFiles:
convOn = AnselToUnicode()
jobOn = indexerDriver.processFileJob( fileOn, convOn, nonblocking = 1, pid = i)# csdebug: handle nonblocking option
_threadOn = Thread( jobOn, "process file job %s" %i )
threads.append( _threadOn )
threadrefs.append( jobOn )
print "starting thread %s processing file %s" % (i, fileOn)
_threadOn.start()
i += 1
updatedAnyRecords = 1
print "joining threads"
for i in range( len(threads) ):
threads[i].join()
# TODO: make sure the thread was successful before nuking.
if deleteAfterIndexing:
print "deleting %s" % threadrefs[i].filename
os.remove( threadrefs[i].filename )
else:
# do work queue here.
print "not yet implemented"
# finally, do a commit here.
if updatedAnyRecords:
print "[%s] starting final commit" % time.ctime()
if commitNonblocking:
solrConnection.commitNonblocking()
else:
solrConnection.commit()
print "[%s] done committing" % time.ctime()
return count
def processFilesInDirectory(dirName,
anselUnicodeConverter=None,
commitNonblocking=0,
numThreads=1,
deleteAfterIndexing=1):
"""processes MARC and PMS files in the indexer-queue directory. If numThreads > 1
it will try to parallelize the MARC record processing (but not PMS indexing -- no reason for that)
"""
pmsFiles = glob.glob("%s/PMS*.DAT" % dirName)
updatedAnyRecords = 0
count = 0
for fileOn in pmsFiles:
print "processing PMS file %s" % fileOn
processedFilenameOn, deletedBibsOn = processPMSFile(fileOn)
if processedFilenameOn:
print "processing MARC file %s" % processedFilenameOn
indexerDriver.processFile(processedFilenameOn,
anselUnicodeConverter)
# now that we are done processing the file, we delete it.
print "deleting MARC file %s " % processedFilenameOn
os.remove(processedFilenameOn)
print "deleting PMS file %s" % fileOn
os.remove(fileOn)
if deletedBibsOn:
print "processing deleted bibs from MARC file %s" % processedFilenameOn
for bibOn in deletedBibsOn:
print "deleting bib %s" % bibOn
indexerDriver.deleteRecord(bibOn)
updatedAnyRecords = 1
else:
print "no records to index"
os.remove(fileOn)
print "[%s] now checking for MARC files" % time.ctime()
_marcFiles = glob.glob("%s/*.MARC" % dirName)
_marcFiles += glob.glob("%s/*.marc" % dirName)
_marcFiles += glob.glob("%s/*.dat" % dirName)
_marcFiles += glob.glob("%s/*.DAT" % dirName)
_marcFiles += glob.glob("%s/*scriblio*" % dirName)
# dedupe _marcFiles here incase a file matches more than one glob
# using a dictionary is the fastest way to dedupe a list with Jython
marcFileDict = {}
for fileOn in _marcFiles:
marcFileDict[fileOn] = None
marcFiles = marcFileDict.keys()
marcFiles.sort()
numMarcFiles = len(marcFiles)
print "[%s] found %d files to process." % (time.ctime(), numMarcFiles)
if numThreads == 1:
for fileOn in marcFiles:
print "processing MARC file %s" % fileOn
count = indexerDriver.processFile(
fileOn, anselUnicodeConverter,
nonblocking=1) # csdebug: added nonblocking here
updatedAnyRecords = 1
if deleteAfterIndexing:
os.remove(fileOn)
elif numThreads >= numMarcFiles:
# spin off a thread for each one
# was getting weird problems with multithreading (AttributeErrors when trying to iterate
# over all controlFields in MARC record -- trying separate anselUnicodeConverters to see if that's the issue.
threads = []
threadrefs = []
i = 0
for fileOn in marcFiles:
convOn = AnselToUnicode()
jobOn = indexerDriver.processFileJob(
fileOn, convOn, nonblocking=1,
pid=i) # csdebug: handle nonblocking option
_threadOn = Thread(jobOn, "process file job %s" % i)
threads.append(_threadOn)
threadrefs.append(jobOn)
print "starting thread %s processing file %s" % (i, fileOn)
_threadOn.start()
i += 1
updatedAnyRecords = 1
print "joining threads"
for i in range(len(threads)):
threads[i].join()
# TODO: make sure the thread was successful before nuking.
if deleteAfterIndexing:
print "deleting %s" % threadrefs[i].filename
os.remove(threadrefs[i].filename)
else:
# do work queue here.
print "not yet implemented"
# finally, do a commit here.
if updatedAnyRecords:
print "[%s] starting final commit" % time.ctime()
if commitNonblocking:
solrConnection.commitNonblocking()
else:
solrConnection.commit()
print "[%s] done committing" % time.ctime()
return count
def processFile(filename, anselUnicodeConverter=None, nonblocking=0, pid=-1):
# if nonblocking == 0 then all commits are blocking; if 1 then they are nonblocking.
inStream = FileInputStream(filename)
print "processFile>> %s" % filename
marcReader = MarcStreamReader(inStream)
data = ""
count = 0
lastCommitTime = None
import time
startTime = time.time()
lastRecord = None
lastBibNum = None
m4j = None
marcReaderTime = 0
marcRecordToDictTime = 0
extractorCreateTime = 0
extractionTime = 0
extractMethodTime = 0
marcRecordForSolrTime = 0
commitTime = 0
updateTime = 0
marcSerializeTime = 0
accession = 0 # TODO: try and load serialized accession # from somewhere
serializedRecord = None
recordBatch = []
# get default properties file
from loadPropsFile import *
props = loadPropsFile(DEFAULT_INDEXING_PROPERTIES_FILE)
while marcReader.hasNext() and count < NUM_RECORDS_TO_ADD:
# if pid > -1:
# print (".%d" % pid),
# else:
# print ".",
# CSDEBUG
accession += 1
count += 1
# TODO: improve error handling here (main problem is that Marc4J will fall over
# at the sight of a bad record and there's no way to get it to just skip over
# a bad record -- so there is little we can do, except better error messages!
try:
mrTimeStart = time.time()
marc4jRecord = marcReader.next()
marcReaderTime += time.time() - mrTimeStart
except:
print "last record indexed was bib# %s " % lastBibNum
import sys
print "sys.exc_info is %s" % str(sys.exc_info())
sys.exit(1)
mrsTime = time.time()
# try:
rec = solrIndexingUtils.recordForSolr(marc4jRecord, anselUnicodeConverter, propsObject=props)
# except:
# print "exception processing record, skipping" # TODO: error handling
# continue
marcRecordForSolrTime += time.time() - mrsTime
extractionTime += rec._extractionTime
extractorCreateTime += rec._extractorCreateTime
marcRecordToDictTime += rec._marcRecordToDictTime
extractMethodTime += rec._extractMethodTime
if hasattr(rec, "bib_num"):
recordBatch.append(rec)
lastBibNum = rec.bib_num
else:
print "not adding record %s; no bib_num present!" % rec
if (count % SOLR_INDEX_BATCH_SIZE) == 0:
# nb. neither apache commons nor python urllib works right here! Unicode gets mangled.
# Must use postURL
# fetch the item status info if required.
if DO_ITEM_STATUS_INDEXING:
bibs = [x.bib_num for x in recordBatch]
avail = horizonItemStatus.availableAt(bibs)
for x in recordBatch:
x.available = avail[x.bib_num]
mrserTime = time.time()
data = u"".join([x.serialize() for x in recordBatch])
recordBatch = []
marcSerializeTime += time.time() - mrserTime
startUpdateTime = time.time()
try:
resp = solrConnection.postURL(SOLR_UPDATE_URL, "<add>%s</add>" % data)
except IOError:
print "Connection reset when talking to Solr, skipping this commit and sleeping 10 sec."
time.sleep(10)
resp = solrConnection.postURL(SOLR_UPDATE_URL, "<add>%s</add>" % data)
# if it fails again here, we want to just bomb out.
if resp.find('<result status="1"') > -1:
print "\nError POSTing documents! Response from Solr was\n\n%s\n" % resp
# TODO: put in retry/continue code here for failed updates/slowdowns on Solr
# TODO: parse result status and do something if there is an error (like print stacktrace)
updateTime += time.time() - startUpdateTime
if pid > -1:
print ("*%d" % pid),
else:
print "*",
if PRINT_SOLR_POST_DATA:
print "\n\n<add>%s</add>\n\n" % data
data = ""
if (count % SOLR_COMMIT_BATCH_SIZE) == 0:
try:
print "committing..."
beginCommitTime = time.time()
if nonblocking:
print "doing nonblocking commit"
solrConnection.commitNonblocking()
else:
solrConnection.commit()
commitTime += time.time() - beginCommitTime
except IOError:
import time
print "Connection reset when talking to Solr, skipping this commit and sleeping 10 sec."
time.sleep(10)
if lastCommitTime:
thisBatchRate = (0.0 + SOLR_COMMIT_BATCH_SIZE) / (time.time() - lastCommitTime)
overallRate = (0.0 + count) / (time.time() - startTime)
if pid > -1:
print "\n>>>>>>>>>>>>COMMIT for PID %s<<<<<<<<<<<<<<<\n" % pid # csdebug
print "[%s] %s records indexed\t| This Batch: %.4f records/sec|\tOverall: %.4f records/sec" % (
time.ctime(),
count,
thisBatchRate,
overallRate,
)
if PROFILE:
print """\nfile->MARC: %.4f\nMARC->py: %.4f\npy->XML: %.4f\n""" % (
marcReaderTime,
marcRecordForSolrTime,
marcSerializeTime,
)
print """MARC to dict: %.4f\ncreate extractor: %.4f\nextraction: %.4f\n\textract method: %.4f""" % (
marcRecordToDictTime,
extractorCreateTime,
extractionTime,
extractMethodTime,
)
print """Solr Update: %.4f\nSolr Commit: %.4f\n""" % (updateTime, commitTime)
lastCommitTime = time.time()
if (count % SOLR_OPTIMIZE_BATCH_SIZE) == 0:
print "[%s] FORCING OPTIMIZE..." % time.ctime()
solrConnection.optimize()
print "[%s] OPTIMIZE done" % time.ctime()
System.gc()
# do last batch here
if len(recordBatch) > 0:
print "doing final POST"
mrserTime = time.time()
data = "".join([x.serialize() for x in recordBatch])
recordBatch = []
resp = solrConnection.postURL(SOLR_UPDATE_URL, "<add>%s</add>" % data)
if resp.find('<result status="1"') > -1:
print "\nError POSTing documents! Response from Solr was\n\n%s\n\n" % resp
print "committing..."
if nonblocking:
solrConnection.commitNonblocking()
else:
solrConnection.commit()
inStream.close()
return count
def processFile(filename, anselUnicodeConverter=None, nonblocking=0, pid=-1):
# if nonblocking == 0 then all commits are blocking; if 1 then they are nonblocking.
inStream = FileInputStream(filename)
print "processFile>> %s" % filename
marcReader = MarcStreamReader(inStream)
data = ""
count = 0
lastCommitTime = None
import time
startTime = time.time()
lastRecord = None
lastBibNum = None
m4j = None
marcReaderTime = 0
marcRecordToDictTime = 0
extractorCreateTime = 0
extractionTime = 0
extractMethodTime = 0
marcRecordForSolrTime = 0
commitTime = 0
updateTime = 0
marcSerializeTime = 0
accession = 0 # TODO: try and load serialized accession # from somewhere
serializedRecord = None
recordBatch = []
# get default properties file
from loadPropsFile import *
props = loadPropsFile(DEFAULT_INDEXING_PROPERTIES_FILE)
while marcReader.hasNext() and count < NUM_RECORDS_TO_ADD:
#if pid > -1:
# print (".%d" % pid),
#else:
# print ".",
# CSDEBUG
accession += 1
count += 1
# TODO: improve error handling here (main problem is that Marc4J will fall over
# at the sight of a bad record and there's no way to get it to just skip over
# a bad record -- so there is little we can do, except better error messages!
try:
mrTimeStart = time.time()
marc4jRecord = marcReader.next()
marcReaderTime += (time.time() - mrTimeStart)
except:
print "last record indexed was bib# %s " % lastBibNum
import sys
print "sys.exc_info is %s" % str(sys.exc_info())
sys.exit(1)
mrsTime = time.time()
#try:
rec = solrIndexingUtils.recordForSolr(marc4jRecord,
anselUnicodeConverter,
propsObject=props)
#except:
# print "exception processing record, skipping" # TODO: error handling
# continue
marcRecordForSolrTime += (time.time() - mrsTime)
extractionTime += rec._extractionTime
extractorCreateTime += rec._extractorCreateTime
marcRecordToDictTime += rec._marcRecordToDictTime
extractMethodTime += rec._extractMethodTime
if hasattr(rec, "bib_num"):
recordBatch.append(rec)
lastBibNum = rec.bib_num
else:
print "not adding record %s; no bib_num present!" % rec
if ((count % SOLR_INDEX_BATCH_SIZE) == 0):
# nb. neither apache commons nor python urllib works right here! Unicode gets mangled.
#Must use postURL
# fetch the item status info if required.
if DO_ITEM_STATUS_INDEXING:
bibs = [x.bib_num for x in recordBatch]
avail = horizonItemStatus.availableAt(bibs)
for x in recordBatch:
x.available = avail[x.bib_num]
mrserTime = time.time()
data = u''.join([x.serialize() for x in recordBatch])
recordBatch = []
marcSerializeTime += (time.time() - mrserTime)
startUpdateTime = time.time()
try:
resp = solrConnection.postURL(SOLR_UPDATE_URL,
"<add>%s</add>" % data)
except IOError:
print "Connection reset when talking to Solr, skipping this commit and sleeping 10 sec."
time.sleep(10)
resp = solrConnection.postURL(SOLR_UPDATE_URL,
"<add>%s</add>" % data)
# if it fails again here, we want to just bomb out.
if resp.find('<result status="1"') > -1:
print "\nError POSTing documents! Response from Solr was\n\n%s\n" % resp
# TODO: put in retry/continue code here for failed updates/slowdowns on Solr
# TODO: parse result status and do something if there is an error (like print stacktrace)
updateTime += (time.time() - startUpdateTime)
if pid > -1:
print("*%d" % pid),
else:
print "*",
if PRINT_SOLR_POST_DATA:
print "\n\n<add>%s</add>\n\n" % data
data = ""
if ((count % SOLR_COMMIT_BATCH_SIZE) == 0):
try:
print "committing..."
beginCommitTime = time.time()
if nonblocking:
print "doing nonblocking commit"
solrConnection.commitNonblocking()
else:
solrConnection.commit()
commitTime += (time.time() - beginCommitTime)
except IOError:
import time
print "Connection reset when talking to Solr, skipping this commit and sleeping 10 sec."
time.sleep(10)
if lastCommitTime:
thisBatchRate = ((0.0 + SOLR_COMMIT_BATCH_SIZE) /
(time.time() - lastCommitTime))
overallRate = ((0.0 + count) / (time.time() - startTime))
if pid > -1:
print "\n>>>>>>>>>>>>COMMIT for PID %s<<<<<<<<<<<<<<<\n" % pid # csdebug
print "[%s] %s records indexed\t| This Batch: %.4f records/sec|\tOverall: %.4f records/sec" % (
time.ctime(), count, thisBatchRate, overallRate)
if PROFILE:
print """\nfile->MARC: %.4f\nMARC->py: %.4f\npy->XML: %.4f\n""" % (
marcReaderTime, marcRecordForSolrTime,
marcSerializeTime)
print """MARC to dict: %.4f\ncreate extractor: %.4f\nextraction: %.4f\n\textract method: %.4f""" % (
marcRecordToDictTime, extractorCreateTime,
extractionTime, extractMethodTime)
print """Solr Update: %.4f\nSolr Commit: %.4f\n""" % (
updateTime, commitTime)
lastCommitTime = time.time()
if ((count % SOLR_OPTIMIZE_BATCH_SIZE) == 0):
print "[%s] FORCING OPTIMIZE..." % time.ctime()
solrConnection.optimize()
print "[%s] OPTIMIZE done" % time.ctime()
System.gc()
# do last batch here
if len(recordBatch) > 0:
print "doing final POST"
mrserTime = time.time()
data = ''.join([x.serialize() for x in recordBatch])
recordBatch = []
resp = solrConnection.postURL(SOLR_UPDATE_URL, "<add>%s</add>" % data)
if resp.find('<result status="1"') > -1:
print "\nError POSTing documents! Response from Solr was\n\n%s\n\n" % resp
print "committing..."
if nonblocking:
solrConnection.commitNonblocking()
else:
solrConnection.commit()
inStream.close()
return count
