Table of Contents |
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Table of Contents |
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- The Bulk Loader is a process that is used to add several new addresses to the EAS at one time.
- There are several stages that make up the Bulk Loader process, outlined below in Summary and Details.
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Stage Number | Stage | Category | Summary | Environment | Iterations | Estimated Person Time | Estimated Computer Time |
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1 | Import and parse reference dataset (Optional) | Parsing | This optional step in the Bulk Loader process is to cross check an address for a match in a reference data set. If a source address is found in the reference dataset the address makes it to the next step. If not found the address is put aside in an exclusion set for later review. | Once per Bulk Loader process | 1 hour | 10 minutes | |
2 | Import, parse and filter source dataset | Parsing | Import the dataset destined for the EAS. Parse and filter the set. | Once per Bulk Loader process | 90 minutes | 15 minutes | |
Geocode and filter | Geocoding | Geocode the set and filter further based on the geocoder score and status. | ArcMap | Once per Bulk Loader process | 1 hour | 5 minutes | |
4 | Export full set (single batch) or subset (multiple batches) | Geocoding | For large datasets, create one of many subsets that will be run through the Bulk Loader in multiple batches. | ArcMap | One or more batches for each Bulk Loader process | 30 minutes per batch | 5 minutes per batch |
5 | Bulk Load batch (full set or subset) | Bulk Loading | Run the entire batch or each subset batch through the Bulk Loader. | One or more batches for each Bulk Loader process | 1 hour per batch | 5 minutes per batch | |
6 | Extract results | Bulk Loading | Extract and archive the list of addresses that were added to the EAS . Also archive the unique EAS 'change request id' associated with this batch. Also archive the addresses that were rejected by the Bulk Loader in this batch. | PostgreSQL / pgAdmin | One or more batches for each Bulk Loader process | 1 hour per batch | 5 minutes per batch |
7 | Cleanup and Restoration | Bulk Loading | Clean up database, restore services and in the event of a failure, restore from backup. | PostgreSQL / pgAdmin | One or more batches for each Bulk Loader process | 1 hour per batch | 5 minutes per batch |
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Running on DEV or QA first is a requirement
Required! Run addresses through DEV or QA first
Warning | ||
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Never load any new addresses into production until a successful trial run is performed on the same addresses in a non-production environment, such as development or QA. |
Important considerations when running the Bulk Loader
Downstream implications
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Anchor | ||||
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This optional stage is run once per Bulk Loader process. This stage can be skipped if the reference dataset is already available or if the optional 'filter by reference' step (Step 2.5) is skipped.
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Anchorstage3 stage3
Stage 3 - Geocode and filter
stage3 | |
stage3 |
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Step 3.1 - Geocode source dataset
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The total number of records of the two output shapefiles should be the same as the number of records in the input shapefile.
Anchor stage4 stage4
Stage 4 - Export shapefile - full set (single batch) or subset (multiple batches)
stage4 | |
stage4 |
Note | ||
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Stages 4, 5 and 6 can be run one time with the results from Stage 3, or they can be run in multiple batches of subsets. A major consideration of when to run the full set at once versus in batches is the number of records being Bulk Loaded. The size of each Bulk Loader operation affects the following aspects of the EAS:
For medium-to-large datasets (input sets with over 1,000 records) it is recommended that the Bulk Loading process be run in batches over several days or weeks. Reminder! It is required that the process first be run on a development server to assess the implications of the operation. Where appropriate, perform the Bulk Loading process in batches over several days or weeks. The remaining steps will document a single batch example iteration of . Repeat these steps in a multi-batch process. |
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Step 4.1 - Export shapefile for Bulk Loading (entire set or subset batch)
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- Right-click the layer geocoder_score_100 in the ArcMap Table of Contents and select
Open Attributes Table
. - Click the first icon in the menu bar (top-left) and select
Select By Attributes
. Enter the following WHERE clause to select the current batch of 50,000 records:
=Code Block language text linenumbers true "counter_" >
50000 AND "counter_" <= 100000
- Click
Apply
, wait for operation to complete and then close the Attributes window- The batch may contain less than 50,000 records due to filtering by geocoding results in the previous step.
- Right-click the layer geocoder_score_100 in the ArcMap Table of Contents and select
- Export for Bulk Loader
In the Table of Contents right-click the layer geocoder_score_100 and select
Data → Export Data.
Click the browse icon.
In the file browser select the
Save as type
dropdown and selectShapefile
.Save the shapefile to the artifacts folder dedicated to this iteration of the Bulk Loader Process.
e.g. R:\Tec\..\Eas\_Task\2018_2019\path\to\archive\bulkloader_process_YYYYMMDD\bulkloader\batch_002NNN\bulkload.shp
- Artifacts
- bulkload.shp - Shapefile for loading into the Bulk Loader in the next stage.
Anchorstage5 stage5
Stage 5 - Run the Bulk Loader
stage5 | |
stage5 |
For a complete set of steps and background about the Bulk Loader, see also Running the Bulk Loader, a page dedicated to its input, operation and results.
Step 5.1 - Production-specific preparation
Halt Services
Warning | |
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These steps are being performed to facilitate immediate roll-back of the EAS database if the Bulk Load Process ends in failure.
Place EAS web application into maintenance mode
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Never load any new addresses into production until a successful trial run is performed on the same addresses in a non-production environment, such as development or QA. |
Step 5.1 - Disable front-end access to EAS
- Notify relevant recipients that the Bulk Loader Process is starting
Disable web service on
<environment>_WEB
(SF DEV WEB, SF QA WEB, SF PROD WEB)Code Block language bash title Place EAS web application into maintenance mode linenumbers true cd /var/www/html sudo ./set_eas_mode.sh MAINT
SKIP
Turn off the replication server
Browse to web site, http://eas.sfgov.org/, to confirm the service has stopped. (Expect to see message that EAS is currently out of service.)Disable database replication by shutting down the database service on the replication server (DR PROD DB).
Step 5.2 - Non-production-specific preparation
Restore Database
- Restore database from latest daily production backup
Step 5.3 - Production-specific preparation
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Halt Services
Warning title Reason for halting services These steps are being performed to facilitate immediate roll-back of the EAS database if the Bulk Load Process ends in failure
SKIP
Turn off the replication serverDisable database replication by shutting down the database service on the replication server (DR PROD DB).Code Block language bash title Stop PostgreSQL linenumbers true
#sudo -u postgres -i #/usr/pgsql-9.0/bin/pg_ctl -D /data/9.0/data stop
Turn off downstream database propagation service(s)
Suspend downstream replication to internal business system database (SF PROD WEB).
Code Block language
bash title stop xmit linenumbers true sudo /var/www/html/eas/bin/xmit_change_notifications.bsh stop
Backup Database
Make a backup of the EAS databaseSee- See also Backup the EAS Databases
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- Restore Database
- Restore database from latest daily production backup
Halt web application
Place EAS web application into maintenance mode
Place the web server into maintenance mode (SF DEV WEB, SF QA WEB).
Code Block | |||
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sudo -u postgres -i
/home/dba/scripts/dbbackup.sh > /var/tmp/dbbackup.log # this step takes about 2 minutes
ls -l /var/tmp # ensure the log file is 0 bytes
ls -la /mnt/backup/pg/daily/easproddb.sfgov.org-* # the timestamp on the last file listed should match timestamp of backup
exit # logout of user postgres when done |
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Step 5.3 - Database Preparation
Connect to the database,
<environment>_DB
, and clear any leftover records from previous Bulk Loader batches.Code Block language sql title truncateTRUNCATE linenumbers true TRUNCATE bulkloader.address_extract, bulkloader.blocks_nearest;
Code Block language sql title vacuumVACUUM linenumbers true VACUUM FULL ANALYZE bulkloader.address_extract;
Code Block language sql title vacuumVACUUM linenumbers true VACUUM FULL ANALYZE bulkloader.blocks_nearest;
Make note of EAS record counts before the Bulk Loading operation.
Code Block language sql firstline 1 title Record Counts linenumbers true SELECT schemaname,relname,n_live_tup FROM pg_stat_user_tables ORDER BY schemaname,relname,n_live_tup
- Save results in artifact as record-_counts-_before.csv
- Also save results in Excel spreadsheet artifact as bulkloader BulkLoader_resultsProcess_YYYYMMDD.xlsx(TODO provide path to a template)
Make note of the database partition size on the file system at the current point in time.
Code Block language bash firstline 1 title disk usage linenumbers true date; df /data # 1st of 3
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Step 5.4 - Transfer Shapefiles
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Open a command prompt and change folders:
Code Block language bash linenumbers true cd C:\apps\eas_automation\automation\src
Run the step to stage the address records:
Code Block language bash linenumbers true python job.py --job stage_bulkload_shapefile --env <environment> --action EXECUTE --v
Run the step to bulk load the address records
Code Block language bash linenumbers true python job.py --job stage_bulkload_shapefile --env <environment>SF_DEV --action EXECUTE --v
To calculate the time it took to run the Bulk Loader look at the timestamps in the output or use a stopwatch or clock to time the operation.
- Save Bulk Loader command line output artifact as bulk-loader-CLI-output.txt.
...
- Make note of the database partition size on the file system at this point. Compre with size of partition prior to loading to get the total disk space used as a result of running the Bulk Loader.
python job.py --job stage_bulkload_shapefile --env SF_QA --action EXECUTE --v python job.py --job stage_bulkload_shapefile --env SF_PROD --action EXECUTE --v
Run the step to bulk load the address records
Code Block language bash firstline 1 title disk usage linenumberslinenumbers true date; df /data
Make note of EAS record counts after the Bulk Load operation.
Code Block language sql firstline 1 title Record Counts linenumbers true SELECT schemaname,relname,n_live_tup FROM pg_stat_user_tables ORDER BY schemaname,relname,n_live_tup
- Save results as artifact record-counts-after.csv
- Also save results in Excel spreadsheet artifact as bulkloader_results_YYYYMMDD.xlsx
In the spreadsheet, calculate the difference between the 'before' and 'after' record counts. The results will indicate the number of new base addresses added to the table `public.address_base` and the number of new addresses and units added to the table `public.addresses`.
See dedicated Bulk Loader page, Running the Bulk Loader, for more analysis options.
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Step 6.1 - Archive exceptions
Info | ||
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The Bulk Loader operation in Stage 5 populated an EAS table named If any errors occurred on a given address during the load, the Bulk Loader populated the |
- Archive the entire
address_extract
table.Use a query tool such as pgAdmin to query and save the table as a CSV file.
Code Block language sql firstline 1 title bulkloader.address_extract linenumbers true SELECT * FROM 'bulkloader.address_extract';
- Save the file in the network folder dedicated to artifacts for the Bulk Loader iteration.
- Save as artifact address_extract.csv
Archive the addresses that raised exceptions during the Bulk Loader processQuery subtotals and save as artifact exception_text_counts.csv To calculate the time it took to run the Bulk Loader look at the timestamps in the output or use a stopwatch or clock to time the operation.
- Save Bulk Loader command line output artifact as bulk_loader_CLI_output.txt
python job.py --job bulkload --env <environment> --action EXECUTE --v
python job.py --job bulkload --env SF_DEV --action EXECUTE --v
python job.py --job bulkload --env SF_QA --action EXECUTE --v
python job.py --job bulkload --env SF_PROD --action EXECUTE --v
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Step 5.6 - Analysis
Anchor analysis analysis
Make note of the database partition size on the file system at this point. Compare with size of partition prior to loading to get the total disk space used as a result of running the Bulk Loader.
Code Block language bash firstline 1 title disk usage linenumbers true date; df /data # 2nd of 3
Make note of EAS record counts after the Bulk Load operation.
Count/view unit addressesCode Block language sql firstline 1 title
exception_text, Count(*)Record Counts linenumbers true SELECT
bulkloader.address_extract GROUP BY exception_textschemaname,relname,n_live_tup FROM
exception_text;pg_stat_user_tables ORDER BY
Query all exception text records and save as artifact exception_text.csv
Code Block language sql firstline 1 title Count/view new base addresses linenumbers true SELECT * FROM bulkloader.address_extract WHERE NOT(exception_text IS NULL) ORDER BY exception_text, id;
- Artifacts
- address_extract.csv - Results of every address submitted to the Bulk Loader.
- exception_text_counts.csv - Counts of the records that were not loaded due to the error indicated in the
'exception_text
' field. - exception_text.csv - Subset of the just the records that were not loaded due to the error indicated in the
'exception_text
' field
Step 6.2 - Archive unique EAS
change_request_id
associated with the Bulk Load
- Get the unique EAS
change_request_id
created by the Bulk Load operation. The value of<change_request_id>
will be used in the next steps to count addresses added to the EAS.
Query the'public.change_requests'
table for the new'change_request_id'
valueschemaname,relname,n_live_tup
- Save results as artifact record_counts_after.csv
- Also save results in Excel spreadsheet artifact as BulkLoader_Process_YYYYMMDD.xlsx
In the spreadsheet, calculate the difference between the 'before' and 'after' record counts. The results will indicate the number of new base addresses added to the table `public.address_base` and the number of new addresses and units added to the table `public.addresses`.
See dedicated Bulk Loader page, Running the Bulk Loader, for more analysis options.
Anchor stage6 stage6
Stage 6 - Extract results
stage6 | |
stage6 |
Step 6.1 - Archive exceptions
Info | ||
---|---|---|
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The Bulk Loader operation in Stage 5 populated an EAS table named If any errors occurred on a given address during the load, the Bulk Loader populated the |
- Archive the entire
address_extract
table.Use a query tool such as pgAdmin to query and save the table as a CSV file.
Code Block language sql firstline 1 title changeaddress_request_idextract linenumbers true SELECT change_request_id * FROM publicbulkloader.change_requests WHERE requestor_comment LIKE 'bulk load change request' ORDER BY change_request_id DESC LIMIT 1address_extract;
- Save the file in the network folder dedicated to artifacts for the Bulk Loader iteration.
- For example,
R:\Tec\..\Eas\_Task\path\to\archive\bulkloader_YYYYMMDD\bulkloader\batch_002\change_request_id.csv
- change_request_id.csv - The unique EAS change_request_id created by the Bulk Load operation.
...
- Get all the address records (including units) added to the EAS during the Bulk Loader operation..
Query the
public.addresses
table on the newchange_request_id
value.Code Block - Save as artifact address_extract.csv
- Archive the addresses that raised exceptions during the Bulk Loader process
...
- Get all the base records added to the EAS during the Bulk Loader operation.
Query subtotals
Code Block language sql firstline 1 title public.addressesexception_text_counts linenumbers true SELECT exception_text, Count(*) FROM publicbulkloader.addressesaddress_extract WHEREGROUP activate_change_request_id = <change_request_id>;
- Save the file in the network folder dedicated to artifacts for the Bulk Loader iteration.
- For example,
R:\Tec\..\Eas\_Task\path\to\archive\bulkloader_YYYYMMDD\bulkloader\batch_002\addresses.csv
- For example,
- Artifacts
- addresses.csv - All the address records (including units) added to the EAS during the Bulk Loader operation.
...
Query the
public.address_base
table on the newchange_request_id
value.Code Block language sql firstline 1 title public.address_baseBY exception_text ORDER BY exception_text;
Save artifact as exception_text_counts.csv
Query all exception text records
Save the file in the network folder dedicated to artifacts for the Bulk Loader iteration.For example, R:\Tec\..\Eas\_Task\path\to\archive\bulkloader_YYYYMMDD\bulkloader\batch_002\address_baseCode Block language sql firstline 1 title exception_text linenumbers true SELECT activate_change_request_id, address_id, public.address_base.* FROM publicbulkloader.address_base, public.addresses WHERE public.address_base.address_base_id = public.addresses.address_base_id AND public.addresses.address_base_flg = TRUE AND public.addresses.activate_change_request_id = <change_request_id>;
extract WHERE NOT(exception_text IS NULL) ORDER BY exception_text, id;
- Save artifact as exception_text.csv
- Artifacts
- address_baseextract.csv - All the base records added Results of every address submitted to the EAS during the Bulk Loader operation.
Step 6.5 - Cross check results
Compare the results of Stage 5 with the results from Stage 6.
The number of addresses found in the Step 5.6 (2) should be identical to the number of addresses found in Step 6.3.
- The number of base addresses found in the Step 5.6 (2) should be identical to the number of base addresses found in Step 6.4.
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Step 7.1 - Database Cleanup
- Connect to the database,
<environment>_DB
, and clear address_extract records from the latest Bulk Loader batch. Make note of final disk usage tally.
Code Block | ||||||||
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TRUNCATE bulkloader.address_extract, bulkloader.blocks_nearest; |
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VACUUM FULL ANALYZE bulkloader.address_extract; |
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VACUUM FULL ANALYZE bulkloader.blocks_nearest; |
Code Block | ||||||
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date; df /data |
Step 7.2 - On Failure Restore Database
- If the Bulk Loader failed and corrupted any data then restore from the database backup.
- Follow these steps to restore from backup.
Step 7.3 - Restore Services (Production Only)
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SKIP Turn on production-to-replication service
Re-enable database replication by restarting the database service on the replication server (DR PROD DB).
Code Block | ||||||
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sudo -u postgres -i
/usr/pgsql-9.0/bin/pg_ctl -D /data/9.0/data start |
SKIP Turn on downstream database propagation service(s)
Resume downstream replication to internal business system database (SF PROD WEB).
Code Block | ||||||
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sudo /var/www/html/eas/bin/xmit_change_notifications.bsh start |
Enable front-end access to EAS
Place the Web servers into live mode (SF PROD WEB, DR PROD WEB).
Code Block | ||||
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cd /var/www/html
sudo ./set_eas_mode.sh LIVE |
Step 7.4 - Restore Services (Non-production Only)
- If the Bulk Loader Process was run on a non-production server then restore services (SF DEV WEB, SF QA WEB)
Enable front-end access to EAS
Code Block cd /var/www/html sudo ./set_eas_mode.sh LIVEexception_text_counts.csv - Counts of the records that were not loaded due to the error indicated in thelanguage bash linenumbers true 'exception_text
' field.- exception_text.csv - Subset of the just the records that were not loaded due to the error indicated in the
'exception_text
' field
Step 6.2 - Archive unique EAS
change_request_id
associated with the Bulk Load
- Get the unique EAS
change_request_id
created by the Bulk Load operation. The value of<change_request_id>
will be used in the next steps to count addresses added to the EAS.Query the
'public.change_requests'
table for the new'change_request_id'
value.Code Block language sql firstline 1 title change_request_id linenumbers true SELECT change_request_id FROM public.change_requests WHERE requestor_comment LIKE 'bulk load change request' ORDER BY change_request_id DESC LIMIT 1;
- Save artifact as change_request_id.csv
- Artifacts
- change_request_id.csv - The unique EAS change_request_id created by the Bulk Load operation.
Step 6.3 - Archive new EASAnchor step6.3 step6.3 addresses
records
- Get all the address records (including units) added to the EAS during the Bulk Loader operation..
Query the
public.addresses
table on the newchange_request_id
value.Code Block language sql firstline 1 title addresses linenumbers true SELECT * FROM public.addresses WHERE activate_change_request_id = <change_request_id>;
- Save artifact as addresses.csv
- Extract sample unit address from the output
- Pick a random record from the results where unit_num is not NULL. Gather the value in the address_base_id field.
- Construct a URL from this value like this: http://eas.sfgov.org/?address=NNNNNN
- Where NNNNNN is the value from the address_base_id field.
- Make note of this URL for use in Step 7 when testing EAS after services are restored.
- Artifacts
- addresses.csv - All the address records (including units) added to the EAS during the Bulk Loader operation.
Step 6.4 - Archive new EASAnchor step6.4 step6.4 address_base
records
- Get all the base records added to the EAS during the Bulk Loader operation.
Query the
public.address_base
table on the newchange_request_id
value.Code Block language sql firstline 1 title address_base linenumbers true SELECT activate_change_request_id, address_id, public.address_base.* FROM public.address_base, public.addresses WHERE public.address_base.address_base_id = public.addresses.address_base_id AND public.addresses.address_base_flg = TRUE AND public.addresses.activate_change_request_id = <change_request_id>;
- Save artifact as
address_base.csv
- Extract sample base address from the output
- Pick a random record from the results. Gather the value in the address_base_id field.
- Construct a URL from this value like this: http://eas.sfgov.org/?address=NNNNNN
- Where NNNNNN is the value from the address_base_id field.
- Make note of this URL for use in Step 7 when testing EAS after services are restored.
- Artifacts
- address_base.csv - All the base records added to the EAS during the Bulk Loader operation.
Step 6.5 - Cross check results
Compare the results of Stage 5 with the results from Stage 6.
The number of addresses found in the Step 5.6 (2) should be identical to the number of addresses found in Step 6.3.
- The number of base addresses found in the Step 5.6 (2) should be identical to the number of base addresses found in Step 6.4.
Anchor stage7 stage7
Stage 7 - Cleanup and Restoration
stage7 | |
stage7 |
Step 7.1 - Database Cleanup
- Connect to the database,
<environment>_DB
, and clear address_extract records from the latest Bulk Loader batch. Make note of final disk usage tally.
Code Block | ||||||||
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TRUNCATE bulkloader.address_extract, bulkloader.blocks_nearest; |
Code Block | ||||||||
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VACUUM FULL ANALYZE bulkloader.address_extract; |
Code Block | ||||
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VACUUM FULL ANALYZE bulkloader.blocks_nearest; |
Code Block | ||||||
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date; df /data # 3rd of 3
# Optional step: archive output to 'df.txt' artifact
exit |
Step 7.2 - Clean automation machine
- Return to automation machine and remove shapefile from 'bulkload_shapefile' folder.
- Logout of automation machine.
Step 7.3 - On Failure Restore Database
- If the Bulk Loader failed and corrupted any data then restore from the database backup.
- Follow these steps to restore from backup.
Step 7.4 - Restore Services (Production Only)
SKIP
Turn on production-to-replication serviceRe-enable database replication by restarting the database service on the replication server (DR PROD DB).Code Block language bash title Stop PostgreSQL linenumbers true #sudo -u postgres -i #/usr/pgsql-9.0/bin/pg_ctl -D /data/9.0/data start
SKIP
Turn on downstream database propagation service(s)Resume downstream replication to internal business system database (SF PROD WEB).Code Block language bash firstline 1 title start xmit #sudo /var/www/html/eas/bin/xmit_change_notifications.bsh start
Step 7.5 - Enable front-end access to EASAnchor step7.5 step7.5
Enable web service on
<environment>_WEB
(SF DEV WEB, SF QA WEB, SF PROD WEB)Code Block language bash linenumbers true cd /var/www/html sudo ./set_eas_mode.sh LIVE exit
Browse to website, http://eas.sfgov.org/, and review sample addresses gathered in Step 6.3 and Step 6.4
Notify relevant recipients that the Bulk Loader Process is complete
Step 7.6 - Archive artifacts
- List of artifacts
- address_base.csv
- address_extract.csv
- addresses.csv
- bulk_loader_CLI_output.txt
- change_request_id.csv
- df.txt
- exception_text.csv
- exception_text_counts.csv
Contents of progress and summary artifact, BulkLoader_Process_YYYYMMDD.xlsx
Progress - This sheet contains a table of relevant totals for each batch
Batch number
Batch date
Input record counts
New base record counts
New unit record counts
Sample addresses
Email Jobs - This sheet contains a table of details related to the weekly 'Address Notification Report' automated email job
Batch range
Record count in batch range
Email Timestamp
Total record counts in email
Subtotal of records generated as a result of the Bulk Loader
Size of email attachment
Batch N - This sheet tracks the before and after record counts for all tables in the EAS database. There is a sheet for each batch loaded. Within each sheet is a section for the 'before' records, a section for the 'after' record counts, and a 'diff' column showing the change in record counts.
END OF STEPS
Notes
Anchor | ||||
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