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{{Project|Has project output=|Has sponsor=McNair Center|Has title=Patent Data Processing - SQL Steps|Has owner=Shelby Bice,|Has project status=Subsume|Has keywords=Tool}}Return to [[Patent Data (Wiki Page)]]. == Objective ==The McNair Center owns two sets of patent data - one set that is inherited from Harvard, the Harvard dataverse, which is stored in the database patentdata and another that is generated by crawlers pulling data from the USPTO website, which is stored in the database '''patent_2015'''. We are now merging and cleaning the two data sets, and storing them in a schema that is amalgamation of the two underlying schema for the citations tables, assignees tables, and patents tables. The destination schema is '''allpatent'''. == Assignees Data== The schema for the assignees table in '''patentdata''' database is:  Column | Type | Modifiers -------------+-------------------+----------- patent | integer | asgtype | integer | assignee | character varying | city | character varying | state | character varying | country | character varying | nationality | character varying | residence | character varying | asgseq | integer | The schema for the assignees table in patent_2015 is :  Column | Type | Modifiers --------------+---------+----------- lastname | text | firstname | text | orgname | text | city | text | country | text | patentcountry | text | patentnumber | integer | state | text | address | text | postcode | text | To merge both schemas, we have some columns that overlap, and some columns that don't. '''Overlapping Columns'''  patent_2015 | patentdata --------------+-------------- orgname | assignee city | city country | country patentnumber | patent state | state These columns will have entries for most rows in the table, because they exist in both tables. The rest of the columns will be populated based on which table the row is coming from. '''Final Schema'''  Table "public.assignees" Column | Type | Modifiers ---------------+-------------------+----------- lastname | character varying | firstname | character varying | address | character varying | postcode | character varying | orgname | character varying | city | character varying | country | character varying | patentnumber | integer | state | character varying | patentcountry | character varying | nationality2 | character varying | residence | character varying | asgseq | integer | asgtype | integer | '''Non-overlapping Columns'''These are the columns that belong to either one of the assignees tables, and not to both. For these cases, to help users understand where the row is coming from, the following insert rules have been followed: *For columns of type int, insert -1*For columns of type string (character varying), the string 'null' has been inserted. Therefore, if a row has appropriate values for orgname, state, city ,etc, but 'null' values for lastname, firstname, address and postcode, the row has come from the patentdata table. ==== Index ====Since the table is relatively large, and is likely to be searched often, an index has been imposed on the table.  allpatent=# CREATE INDEX ON assignees (orgname); CREATE INDEX ====Sample insert and copy commands ==== INSERT INTO assignees_merge ( SELECT 'null', 'null', 'null', 'null', a.assignee, a.city, a.country, a.patent, a.state, 'null', a.nationality, a.residence, a.asgseq, a.asgtype FROM assignees a );  INSERT INTO assignees_merge ( SELECT assignees.lastname, assignees.firstname, assignees.address, assignees.postcode, assignees.orgname, assignees.city, assignees.country, assignees.patentnumber, assignees.state, assignees.patentcountry, 'null', 'null', -1, -1 FROM assignees );   \COPY assignees_merge TO '/tmp/assignees_merge_export.txt' DELIMITER AS E'\t' HEADER NULL AS '' CSV; \COPY assignees FROM '/tmp/assignees_merge_export.txt' DELIMITER AS E'\t' HEADER NULL AS '' CSV; --1607724  \COPY assignees_merge TO '/tmp/assignees_merge_export1.txt' DELIMITER AS E'\t' HEADER NULL AS '' CSV; \COPY assignees FROM '/tmp/assignees_merge_export1.txt' DELIMITER AS E'\t' HEADER NULL AS '' CSV; --3818842 Note : The assignees table was updated on 6/23 to remove the 'null' string and the '-1' values. ==Patents == '''Patentdata Schema:'''  Column | Type | Modifiers --------+-------------------+----------- patent | integer | kind | character varying | claims | integer | apptype | integer | appnum | integer | gdate | date | gyear | integer | appdate | date | appyear | integer |  '''Patent_2015 Schema:'''  Column | Type | Modifiers -------------------------------+---------+----------- patentnumber | int | not null kind | varchar | grantdate | date | type | varchar | applicationnumber | varchar | filingdate | date | prioritydate | date | prioritycountry | varchar | prioritypatentnumber | varchar | ussubclass | varchar | maingroup | varchar | subgroup | varchar | cpcsubclass | varchar | cpcmaingroup | varchar | cpcsubgroup | varchar | classificationnationalcountry | varchar | classificationnationalclass | varchar | title | varchar | numberofclaims | int | primaryexaminerfirstname | varchar | primaryexaminerlastname | varchar | primaryexaminerdepartment | varchar | pctpatentnumber | varchar | filename | varchar | ''' Overlapping Columns ''' patent_data patent_2015 --------------+------------- patent | patentnumber kind | kind claims | numberofclaims apptype | type appnum | applicationnumber gdate | grantdate appdate | filingdate  '''Combined Schema:''' The final schema of the patents table is :   Column | Type | Modifiers ----------------------+-------------------+----------- patent | integer | not null grantdate | date | prioritydate | date | prioritycountry | character varying | prioritypatentnumber | character varying | cpcsubgroup | character varying | pctpatentnumber | character varying | claims | integer | appnum | integer | gyear | integer | appdate | date | appyear | integer | nber | integer | uspc | character varying | uspc_sub | character varying | From the total list of columns belonging to both the tables (patentdata and patent_2015), a few columns, most of them related to classification of patents, have been dropped since the data in the tables was not clean. Additionally, three columns - nber, uspc, uspc_sub have been added from the historicalpatentdata, a table built from data downloaded from the USPTO Bulk Data Storage. The join was executed on the patent number.  Note : The addition, deletion of columns as through separate [[Patent Data Cleanup - June 2016 |scripts]], therefore the scripts below will be slightly discrepant. ==== Index and Key Creation ====Patent numbers are distinct in this table, and are central to the rest of the fields in the table. A primary key can therefore be imposed on the column. Also, since a number of searches are likely to be conducted on this table, an index has been imposed as well. Code: ALTER TABLE patents ADD PRIMARY KEY (patentnumber); -- RESULT : ALTER TABLE allpatent=# CREATE UNIQUE INDEX patent_idx ON patents (patentnumber);   ====Sample Insert and Copy Statements==== patentdata: INSERT INTO patents_merged ( SELECT patent, kind, gdate, 'NULL', 'NULL', NULL, NULL, 'NULL', 'NULL', 'NULL', 'NULL', 'NULL', 'NULL', 'NULL', 'NULL', 'NULL', 'NULL', 'NULL', -1, 'NULL', 'NULL', 'NULL', 'NULL', 'NULL', claims, apptype, appnum, gyear, appdate, appyear FROM patents ); -- RESULT : INSERT 0 3984771 patent_2015: INSERT INTO patents_merged ( SELECT patentnumber, kind, grantdate, type, applicationnumber, filingdate, prioritydate, prioritycountry, prioritypatentnumber, ussubclass, maingroup, subgroup, cpcsubclass, cpcmaingroup, cpcsubgroup, classificationnationalcountry, classificationnationalclass, title, numberofclaims, primaryexaminerfirstname, primaryexaminerlastname, primaryexaminerdepartment, pctpatentnumber, filename, -1, -1, -1, -1, NULL, -1 FROM patents ); -- RESULT : INSERT 0 1646225 COPY SCRIPTS:patentdata: \COPY patents_merged TO '/tmp/merged_patents_export1.txt' DELIMITER AS E'\t' HEADER NULL AS '' CSV; --COPY 3984771 patent_2015: \COPY patents_merged TO '/tmp/merged_patents_export.txt' DELIMITER AS E'\t' HEADER NULL AS '' CSV; --COPY 1646225 PATENTS TABLE \COPY patents FROM '/tmp/merged_patents_export1.txt' DELIMITER AS E'\t' HEADER NULL AS '' CSV; -- RESULT : COPY 3984771 \COPY patents FROM '/tmp/merged_patents_export.txt' DELIMITER AS E'\t' HEADER NULL AS '' CSV; -- RESULT : COPY 1646225 ====TESTING ==== select count(*) FROM (SELECT DISTINCT patentnumber FROM patents) AS t; --RESULT: 5411151 EXPECTED: 5426566 We found some copies of a few rows, where both the patent_2015 and patentdata   SELECT COUNT(*), * FROM patents GROUP BY patentnumber, kind, grantdate, type, applicationnumber, filingdate, prioritydate, prioritycountry, prioritypatentnumber, ussubclass, maingroup, subgroup, cpcsubclass, cpcmaingroup, cpcsubgroup, classificationnationalcountry, classificationnationalclass, title, numberofclaims, primaryexaminerfirstname, primaryexaminerlastname, primaryexaminerdepartment, pctpatentnumber, filename, claims, apptype, appnum, gyear, appdate, appyear HAVING COUNT(*) > 1;  SELECT patentnumber, count(*) FROM patents GROUP BY patentnumber HAVING count(*)>1; --7640598    SELECT * FROM patents op WHERE op.patentnumber IN ( SELECT ip.patentnumber FROM patents ip GROUP BY ip.patentnumber HAVING COUNT(*)>1 ) ORDER BY op.patentnumber;  ( SELECT * INTO patentsCleaned FROM patents op WHERE op.patentnumber IN ( SELECT ip.patentnumber FROM patents ip GROUP BY ip.patentnumber HAVING COUNT(*)=1 ) ORDER BY op.patentnumber ) --SELECT 5191306   INSERT INTO patentsCleaned( SELECT * FROM patents op WHERE op.patentnumber IN ( SELECT ip.patentnumber FROM patents ip GROUP BY ip.patentnumber HAVING COUNT(*)>1 ) AND op.applicationnumber NOT LIKE 'NULL' ORDER BY op.patentnumber );  --219845 ====TESTING:==== allpatent=# select count(*) from patentsCleaned; count --------- 5411151 (1 row)  allpatent=# select count(*), patentnumber FROM patentsCleaned group by patentnumber having count(*) > 1; count | patentnumber -------+-------------- (0 rows) == Citations== In the citations table, we needed to define another function that would convert a textual patent number into a number (big int, since the patents number were exceeding the range of regular integers.)
To Extract Patents with Numbers Only and to Ignore Other RegExes
CREATE OR REPLACE FUNCTION cleanpatno (text) RETURNS bigint AS $$
if ($_[0]) {
my $var=$_[0];
************ Columns *********************
patentdata:
Column | Type | Modifiers
-------------+-------------------+-----------
patent | integer |
cit_date | date |
cit_name | character varying |
cit_kind | character varying |
cit_country | character varying |
citation | integer |
category | character varying |
citseq | integer |
'''patentdata schema:'''  Column | Type | Modifiers ------------+-------------------+----------- patent | integer | cit_date | date | cit_name | character varying | cit_kind | character varying | cit_country | character varying | citation | integer | category | character varying | citseq | integer |   SELECT patent as citingpatentnumber, citation AS citedpatentnumber INTO citations_merged FROM citations; --SELECT 38452957 '''patent_2015 schema:''' Column | Type | Modifiers ---------------------+---------+----------- citingpatentnumber | integer | citingpatentcountry | text | citedpatentnumber | text | citedpatentcountry | text |
patent_2015: Column | Type | Modifiers---------------------+---------+----------- SELECT CAST(citingpatentnumber | integer |AS bigint), CAST(cleanpatno( citedpatentnumber) AS bigint) as citedpatentnumber citingpatentcountry | text | INTO citations_merged citedpatentnumber | text |FROM citations; citedpatentcountry | text | -- RESULT : SELECT 59227881
SELECT CAST(citingpatentnumber AS bigint), CAST(cleanpatno( citedpatentnumber) AS bigint) as citedpatentnumberINTO citations_mergedFROM citations;-- RESULT : SELECT 59227881'''Overlapping Columns'''
FINAL TABLE patent_2015 | patentdata | ---------------------+---------------+ citingpatentnumber | patent | citedpatentnumber | citation | ''' Combined Schema:'''
CREATE TABLE citations Column | Type | Modifiers(--------------------+--------+----------- citingpatentnumber | bigint,| citedpatentnumber | bigint);|
patentdata:
\COPY citations_merged TO '/tmp/merged_citations_export1.txt' DELIMITER AS E'\t' HEADER NULL AS '' CSV; --COPY 38452957
patent_2015:
\COPY citations_merged TO '/tmp/merged_citations_export.txt' DELIMITER AS E'\t' HEADER NULL AS '' CSV; -- RESULT : COPY 59227881
allpatent:
\COPY citations FROM '/tmp/merged_citations_export.txt' DELIMITER AS E'\t' HEADER NULL AS '' CSV; --RESULT : COPY 59227881
\COPY citations FROM '/tmp/merged_citations_export1.txt' DELIMITER AS E'\t' HEADER NULL AS '' CSV; --RESULT: COPY 38452957
CLONING:
CREATE DATABASE allpatentsProcessed WITH TEMPLATE allpatent OWNER researcher;
 
== USPTO Consolidated Patent Data ==
 
The USPTO has a repository of patent data on their Bulk Data Storage system. We have this data downloaded and loaded into a table on the patent database. Here are the steps followed:
* Download file from the BDS system - we have access to CSV files.
* Create table with required specs
* use the \COPY command to copy the data from the file into the table.
 
Script follows.
 
'''Script:'''
 
/* creating patent data tables from : https://bulkdata.uspto.gov/data2/patent/maintenancefee/*/
 
CREATE TABLE PatentMaintenanceFee(
patentnumber varchar,
applicationnumber int,
smallentity varchar,
filingdate date,
grantissuedate date,
maintenancefeedate date,
maintenancefeecode varchar
);
 
\COPY PatentMaintenanceFee FROM '/bulk/USPTO_Consolidated/MaintFeeEvents_20160613.txt' DELIMITER AS E'\t' HEADER NULL AS '' CSV;
-- RESULT : COPY 14042059
 
/* creating tables for historical patent data - USPTO */
 
CREATE TABLE HistoricalPatentData(
applicationid int,
pubno varchar,
patentnumber varchar,
NBER int,
USPC varchar,
USPC_sub varchar,
applicationdate date,
prioritydate date,
pubdate date,
displaydate date,
disptype varchar,
exp_dt date,
exp_dt_max date,
pta int
);
 
\COPY historicalpatentdata FROM '/bulk/USPTO_Consolidated/HistoricalFiles/historical_masterfile.csv' DELIMITER AS ',' HEADER NULL AS '' CSV;
 
--COPY 11191813
 
[[Category:Internal]]
[[Internal Classification::Legacy| ]]
[[Category:Patent]]

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