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Table of Contents

Overview

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Table of Contents

Overview

• 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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Running on DEV or QA first is a requirement

Required! Run addresses through DEV or QA first

Important considerations when running the Bulk Loader

Downstream implications

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stage1 stage1

Stage 1 - Import and parse reference dataset (Optional)

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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stage3 stage3

Stage 3 - Geocode and filter

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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.

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stage4 stage4

Stage 4 - Export shapefile - full set (single batch) or subset (multiple batches)

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  Step 4.1 - Export shapefile for Bulk Loading (entire set or subset batch)

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1. 1. 1. Right-click the layer geocoder_score_100 in the ArcMap Table of Contents and select Open Attributes Table.
      2. Click the first icon in the menu bar (top-left) and select Select By Attributes.

      3. 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

         
         

      4. 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.
   2. Export for Bulk Loader

      1. In the Table of Contents right-click the layer geocoder_score_100 and select Data → Export Data.

      2. Click the browse icon.

      3. In the file browser select the Save as type dropdown and select Shapefile.

      4. 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

1. Artifacts
   1. bulkload.shp - Shapefile for loading into the Bulk Loader in the next stage.

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stage5 stage5

Stage 5 - Run the Bulk Loader

 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.

Place EAS web application into maintenance mode

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  Step 5.1 -

  Production-specific preparation

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1. Make a backup of the EAS database
   • See also Backup the EAS Databases

Halt Services

• Disable front-end access to EAS

1. Notify relevant recipients that the Bulk Loader Process is starting

2. Disable web service on <environment>_WEB (SF DEV WEB, SF QA WEB, SF PROD WEB)

   Code Block
   language bash

   titlePlace EAS web application into maintenance mode

   linenumbers true

   cd /var/www/html sudo ./set_eas_mode.sh MAINT

   
   

   1. SKIP Turn off the replication server

      Disable 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/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.)

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  Step 5.2 - Non-production-specific preparation

1. Restore Database

   1. Restore database from latest daily production backup

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  Step 5.3 - Production-specific preparation

1. 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

   
   

   1. SKIP Turn off the replication server

      1. Disable 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

         
         

   2. Turn off downstream database propagation service(s)

      1. Suspend downstream replication to internal business system database (SF PROD WEB).

         Code Block
         language

      text

      1. bash title stop xmit linenumbers true

         sudo /var/www/html/eas/bin/xmit_change_notifications.bsh stop

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  Step 5.2 - Non-production-specific preparation

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1. Restore database from latest daily production backup

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Place EAS web application into maintenance mode

Place the web server into maintenance mode (SF DEV WEB, SF QA WEB).

cd /var/www/html
sudo ./set_eas_mode.sh MAINT

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  Step 5.3 - Database Preparation

1. Connect

   Backup Database

   • See also Backup the EAS Databases

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 

1. 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;

   
   

2. 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

   1. Save results in artifact as record-_counts-_before.csv 
   2. Also save results in Excel spreadsheet artifact as bulkloader BulkLoader_resultsProcess_YYYYMMDD.xlsx(TODO provide path to a template)

3. 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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1. Open a command prompt and change folders:

   Code Block
   language bash linenumbers true
   cd C:\apps\eas_automation\automation\src

   
   

2. 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.

3. Save Bulk Loader command line output artifact as bulk-loader-CLI-output.txt.

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1. Make note of the database partition size on the file system. 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

   
   

2. Run the step to bulk load the address records

   
   

   Code Block

    See dedicated Bulk Loader page, Running the Bulk Loader, for more analysis options.
   

   Make note of then remove records from the bulkloader.blocks_nearest table and then make note of the disk usage once again:

   SELECT COUNT(*) FROM bulkloader.blocks_nearest;

   Code Block
   language sql linenumbers true
   language bash firstlinelinenumbers 1 title disk usage linenumbers true
   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

3. Save results as artifact record-counts-after.csv
4. Also save results in Excel spreadsheet artifact as bulkloader_results_YYYYMMDD.xlsx

5. 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`.

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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




6.  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.

   
   

7. Save Bulk Loader command line output artifact as bulk_loader_CLI_output.txt

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  Step 5.6 - Analysis

  Anchor
  analysis analysis

1. 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

   
   

2. Make note of EAS record counts after the Bulk Load operation.

   Code Block
   language sql
   Code Block
   language sql linenumbersfirstline true
   TRUNCATE bulkloader.blocks_nearest;
   1 title Record Counts linenumbers true
   VACUUM FULL ANALYZE bulkloader.blocks_nearest;

   Code Block
   language bash linenumbers true
   df /data

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  Step 6.1 - Archive exceptions

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1. 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_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.

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stage6 stage6

Stage 6 - Extract results

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  Step 6.1 - Archive exceptions

1. Archive the entire address_extract table.

   1. 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';

      
      

   2. Save the file in the network folder dedicated to artifacts for the Bulk Loader iteration.
      1. Save as artifact address_extract.csv
2. Archive the addresses that raised exceptions during the Bulk Loader process

   1. Query subtotals and save as artifact exception_text_counts.csv

      Code Blocklanguage

      Code Block
      language sql firstline 1 title Count/view unit addressesexception_text_counts linenumbers true
      SELECT exception_text, Count(*) FROM bulkloader.address_extract GROUP BY exception_text ORDER BY exception_text;

      Query all exception text records and save as artifact 

      1. Save artifact as exception_text_counts.csv

   2. Query all exception text records

      Code Block
      language sql firstline 1 title Count/view new base addressesexception_text linenumbers true
      SELECT * FROM bulkloader.address_extract WHERE NOT(exception_text IS NULL) ORDER BY exception_text, id;

      1. Save artifact as exception_text.csv
3. Artifacts
   1. address_extract.csv - Results of every address submitted to the Bulk Loader.
   2. exception_text_counts.csv - Counts of the records that were not loaded due to the error indicated in the 'exception_text' field.
   3. exception_text.csv - Subset of the just the records that were not loaded due to the error indicated in the 'exception_text' field

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1. 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.
   

   1. 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;

      
      

   2. 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\artifact as change_request_id.csv
2. Artifacts
   1. change_request_id.csv - The unique EAS change_request_id created by the Bulk Load operation.

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  Anchor
  step6.3 step6.3

  Step

  Step 6.3 -

  Archive new EAS address_base

  Archive new EAS addresses records

1. Get all the base address records (including units) added to the EAS during the Bulk Loader operation..
   

   1. Query the public.address_baseaddresses table on the new change_request_id value.

      Code Block
      language sql firstline 1 title public.address_baseaddresses 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>;

      
      

   2. 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_base.csv
   Artifacts
   1. address_base.csv - All the base records artifact as addresses.csv
2. Extract sample unit address from the output
   1. Pick a random record from the results where unit_num is not NULL. Gather the value in the address_base_id field.
   2. 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.
   3. Make note of this URL for use in Step 7 when testing EAS after services are restored.
3.  Artifacts
   1. addresses.csv - All the address records (including units) added to the EAS during the Bulk Loader operation.

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  Anchor
  step6.4 step6.4

  Step 6.4 -

  Archive new EAS addresses

  Archive new EAS address_base records

1. Get all the address base records (including units) added to the EAS during the Bulk Loader operation..
   

   1. Query the public.addressesaddress_base table on the new change_request_id value.

      Code Block
      language sql firstline 1 title public.addressesaddress_base linenumbers true
      SELECT activate_change_request_id, address_id, public.address_base.* FROM public.address_base, public.addresses WHERE activate_change_requestpublic.address_base.address_base_id = <change_request_id>;

   2. 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
   Artifacts
   1. addresses.csv - All the address records (including units)

      public.addresses.address_base_id AND public.addresses.address_base_flg = TRUE AND public.addresses.activate_change_request_id = <change_request_id>;

      
      

   2. Save artifact as address_base.csv
2. Extract sample base address from the output
   1. Pick a random record from the results. Gather the value in the address_base_id field.
   2. 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.
   3. Make note of this URL for use in Step 7 when testing EAS after services are restored.
3. Artifacts
   1. address_base.csv - All the base records added to the EAS during the Bulk Loader operation.

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Compare the results of Stage 5 with the results from Stage 6.

1. The number of base addresses found in the Stage 5 Analysis Step 5.6 (2) should be identical to the number of base addresses found in Step 6.3.

2. The number of base addresses found in the Stage 5 Analysis should be less than or equal Step 5.6 (2) should be identical to the number of base addresses listed found in Step 6.4. (The Bulk Loader does not provide enough information in the the bulkloader.address_extract table to determine the exact number of new addresses added. But there is enough information to determine an upper limit.)

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stage7 stage7

Stage 7 - Cleanup and Restoration

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  Step 7.1 - Database Cleanup

   

1. Connect to the database, <environment>_DB, and clear address_extract records from the latest Bulk Loader batch. Make note of final disk usage tally.

TRUNCATE bulkloader.address_extract, bulkloader.blocks_nearest;

VACUUM FULL ANALYZE bulkloader.address_extract;

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Step 7.2 - On Failure Restore Database

1. If the Bulk Loader failed and corrupted any data then restore from the database backup.
   1. Follow these steps to restore from backup.

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  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).

VACUUM FULL ANALYZE bulkloader.blocks_nearest;

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SKIP Turn on downstream database propagation service(s)

Resume downstream replication to internal business system database (SF PROD WEB).

sudo /var/www/html/eas/bin/xmit_change_notifications.bsh start

Enable front-end access to EAS

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sudo -u postgres -i
/usr/pgsql-9.0/bin/pg_ctl -D /data/9.0/data start

date; df /data # 3rd of 3
# Optional step: archive output to 'df.txt' artifact
exit

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  Step 7.2 - Clean automation machine

1. Return to automation machine and remove shapefile from 'bulkload_shapefile' folder.
2. Logout of automation machine. 

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  Step 7.3 - On Failure Restore Database

1. If the Bulk Loader failed and corrupted any data then restore from the database backup.
   1. Follow these steps to restore from backup.

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  Step 7.4 - Restore Services (Production Only)

1. 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
     language bash title Stop PostgreSQL linenumbers true

   cd /var/www/html
   sudo ./set_eas_mode.sh LIVE

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  Step 7.4 - Restore Services (Non-production Only)

1. 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

   language	bash
   linenumbers	true

   cd

   • #sudo -u postgres -i #/usr/pgsql-9.0/bin/pg_ctl -D /data/9.0/data start

     
     

2. 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

   sudo ./set_eas_mode.sh LIVE

   • /eas/bin/xmit_change_notifications.bsh start

     
     

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  Anchor
  step7.5 step7.5

  Step 7.5 - Enable front-end access to EAS

1. 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

   
   

2. Browse to website, http://eas.sfgov.org/, and review sample addresses gathered in Step 6.3 and Step 6.4

3. Notify relevant recipients that the Bulk Loader Process is complete

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  Step 7.6 - Archive artifacts

1. List of artifacts
   1. address_base.csv
   2. address_extract.csv
   3. addresses.csv
   4. bulk_loader_CLI_output.txt
   5. change_request_id.csv
   6. df.txt
   7. exception_text.csv
   8. exception_text_counts.csv

2. Contents of progress and summary artifact, BulkLoader_Process_YYYYMMDD.xlsx

   
   

   1. Progress - This sheet contains a table of relevant totals for each batch

      1. Batch number

      2. Batch date

      3. Input record counts

      4. New base record counts

      5. New unit record counts

      6. Sample addresses

         
         

   2. Email Jobs - This sheet contains a table of details related to the weekly 'Address Notification Report' automated email job

      1. Batch range

      2. Record count in batch range

      3. Email Timestamp

      4. Total record counts in email

      5. Subtotal of records generated as a result of the Bulk Loader

      6. Size of email attachment

         
         

   3. 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

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