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Patent Data Processing - SQL Steps (view source)

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[[Category:Internal]]{{Project[[Internal Classification::Legacy| ]]** Assignees Data:Has project output=CREATE TABLE assignees_temp2 (|Has sponsor=McNair Centerlastname varchar,firstname varchar,address varchar,postcode varchar,orgname varchar, -|Has title=Patent Data Processing -assignee varchar,SQL Stepscity varchar, --city2 varchar|Has owner=Shelby Bice,country varchar, --country2 varchar,|Has project status=Subsumepatentnumber int, --patent integer,|Has keywords=Toolstate varchar, --state2 varchar,patentcountry varchar,nationality2 varchar,residence varchar,asgseq int,asgtype integer); CREATE TABLE assignees}}Return to [[Patent Data (lastname varchar,firstname varchar,address varchar,postcode varchar,orgname varchar,city varchar, country varchar, patentnumber int,state varchar, patentcountry varchar,nationality2 varchar,residence varchar,asgseq int,asgtype integerWiki 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'''.
PatentData: 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 |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'''.
( patent int, asgtype int, assignee varchar , city varchar , state varchar , country varchar , nationality varchar , residence varchar , asgseq int )== Assignees Data==
INSERT INTO assignees_merge(SELECT'null','nullThe schema for the assignees table in ','null',patentdata'null',a.assignee,a.city,a.country,a.patent,a.state,'null',a.nationality,a.residence,a.asgseq,a.asgtypeFROM assignees a);database is:
/// Reference: Column | Type | ModifiersCREATE TABLE assignees_temp2 ( -------------+-------------------+----------- patent | integer | asgtype | integer | assignee | character varying | city | character varying | state | character varying | country | character varying | nationality | character varying | residence | character varying | asgseq | integer |
lastname varchar,firstname varchar,address varchar,postcode varchar,orgname varchar, --assignee varchar,city varchar, --city2 varchar,country varchar, --country2 varchar,patentnumber int, --patent integer,state varchar, --state2 varchar,patentcountry varchar,nationality2 varchar,residence varchar,asgseq int,asgtype integerThe schema for the assignees table in patent_2015 is :
);//////   Patent_2015: Column | Type | Modifiers ---------------+---------+-----------
lastname | text |
firstname | text |
postcode | text |
To merge both schemas, we have some columns that overlap, and some columns that don't.
( lastname varchar, firstname varchar, orgname varchar, city varchar, country varchar, patentcountry varchar, patentnumber int, state varchar, address varchar, postcode varchar)'''Overlapping Columns'''
INSERT INTO assignees_merge patent_2015 | patentdata( --------------+--------------SELECTassignees.lastname,assignees.firstname,assignees.address,assignees.postcode,assignees. orgname, | assignee assignees. city | city,assignees. country | country,assignees. patentnumber,| patent assignees. state | state,assignees.patentcountry,'null','null',-1,-1FROM assignees);
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.
\COPY assignees_merge TO '/tmp/assignees_merge_export.txt' DELIMITER AS E'\tFinal Schema' 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 Table "public.txt' DELIMITER AS E'\t' HEADER NULL AS '' CSV;assignees"\COPY assignees FROM '/tmp/assignees_merge_export1.txt' DELIMITER AS E'\t' HEADER NULL AS '' CSV; Column | Type | Modifiers ---------------+-------------------+-----------3818842 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
);
SELECT count(*), *
from assignees
GROUP BY lastname, firstname, address, postcode, orgname, city, country, patentnumber, state, patentcountry, nationality2, residence, asgseq, asgtype
HAVING COUNT(*) > 1
;
CREATE TABLE Assignees2 \COPY assignees_merge TO '/tmp/assignees_merge_export.txt' DELIMITER ASE'\t' HEADER NULL AS '' CSV;SELECT *from \COPY assignees FROM '/tmp/assignees_merge_export.txt' DELIMITER AS E'\t' HEADER NULL AS '' CSV;GROUP BY lastname, firstname, address, postcode, orgname, city, country, patentnumber, state, patentcountry, nationality2, residence, asgseq, asgtypeHAVING COUNT(*) = 1; --1607724
DROP TABLE Assignees \COPY assignees_merge TO '/tmp/assignees_merge_export1.txt' DELIMITER AS E'\t' HEADER NULL AS '' CSV;ALTER TABLE Assignees2 RENAME TO Assignees \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:'''
Patentdata:
Column | Type | Modifiers
---------+-------------------+-----------
patent | integer |
kind | character varying |
appdate | date |
appyear | integer |
 
Column Names:
patent int,
kind varchar,
claims int,
apptype int,
appnum int,
gdate date,
gyear int,
appdate date,
appyear int
'''Patent_2015 Schema:'''
Patent_2015:
Column | Type | Modifiers
-------------------------------+---------+-----------
filename | varchar |
Column Names:''' Overlapping Columns ''' patent_data patentnumber int,patent_2015 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 Combined Schema: Column Names: patent int, kind varchar, claims int, apptype int, appnum int, gdate date, gyear int, appdate date, appyear int   patentnumber int, --------------+--------- patent kind varchar, -- kind grantdate date, --gdate type varchar,patent | patentnumber 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,kind | kind claims | numberofclaims int, primaryexaminerfirstname varchar,apptype primaryexaminerlastname varchar, primaryexaminerdepartment varchar, pctpatentnumber varchar, filename varchar claims int, apptype int,| type appnum int, | applicationnumber gyear int, appdate date, appyear int Output Schema: patents gdate CREATE TABLE patents_merged( patentnumber int, 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, claims int, apptype int, appnum int, gyear int, appdate date, appyear int ); 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'\tCombined Schema:' HEADER NULL AS '' CSV;--COPY 1646225
PATENTS TABLE\COPY The final schema of the patents FROM '/tmp/merged_patents_export1.txt' DELIMITER AS E'\t' HEADER NULL AS '' CSV;-- RESULT table is : COPY 3984771\COPY patents FROM '/tmp/merged_patents_export.txt' DELIMITER AS E'\t' HEADER NULL AS '' CSV;-- RESULT : COPY 1646225
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.
TESTING:select count(*) FROM (SELECT DISTINCT patentnumber FROM patents) AS t;Additionally, three columns --RESULT: 5411151EXPECTED: 5426566nber, 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.
SELECT COUNT(*) Note : The addition, *FROM patentsGROUP BY patentnumber, kind, grantdate, type, applicationnumber, filingdate, prioritydate, prioritycountry, prioritypatentnumber, ussubclassdeletion of columns as through separate [[Patent Data Cleanup - June 2016 |scripts]],therefore the scripts below will be slightly discrepant. maingroup, subgroup,==== Index and Key Creation ==== cpcsubclassPatent numbers are distinct in this table, cpcmaingroupand are central to the rest of the fields in the table. A primary key can therefore be imposed on the column. Also, cpcsubgroupsince a number of searches are likely to be conducted on this table, classificationnationalcountry, classificationnationalclass, title, numberofclaims, primaryexaminerfirstname, primaryexaminerlastname, primaryexaminerdepartment, pctpatentnumber, filename, claims, apptype, appnum, gyear, appdate, appyearHAVING COUNT(*) > 1;an index has been imposed as well.
SELECT patentnumber, count(*)Code:FROM ALTER TABLE patentsGROUP BY ADD PRIMARY KEY (patentnumberHAVING count(*)>1; --7640598 RESULT : ALTER TABLE allpatent=# CREATE UNIQUE INDEX patent_idx ON patents (patentnumber);
 
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 opWHERE 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)  ********** INDEX CREATION ************** ALTER TABLE patents ADD PRIMARY KEY (patentnumber);-- RESULT : ALTER TABLEallpatent=# CREATE UNIQUE INDEX patent_idx ON patents (patentnumber); allpatent=# CREATE INDEX ON assignees (orgname);CREATE INDEX      **Patents Patentdata:Column | Type | Modifiers---------+-------------------+----------- patent | integer | kind | character varying | claims | integer | apptype | integer | appnum | integer | gdate | date | gyear | integer | appdate | date | appyear | integer | Column Names: patent int, kind varchar, claims int, apptype int, appnum int, gdate date, gyear int, appdate date, appyear int    Patent_2015: 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 | Column Names: patentnumber int, 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 Combined Schema: Column Names: patent int, kind varchar, claims int, apptype int, appnum int, gdate date, gyear int, appdate date, appyear int   patentnumber int, -- patent kind varchar, -- kind grantdate date, --gdate 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 claims int, apptype int, appnum int, gyear int, appdate date, appyear int Output Schema: patents CREATE TABLE patents_merged( patentnumber int, 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, claims int, apptype int, appnum int, gyear int, appdate date, appyear int ); 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:
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
TESTING:select count(*) FROM (SELECT DISTINCT patentnumber FROM patents) AS t;--RESULT: 5411151EXPECTED: 5426566We found some copies of a few rows, where both the patent_2015 and patentdata
SELECT COUNT(*), * FROM patents GROUP BY patentnumber,
kind,
grantdate,
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
HAVING COUNT(*)>1
)
ORDER BY op.patentnumber;
( SELECT * INTO patentsCleaned FROM patents op WHERE op.patentnumber IN
(
SELECT 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
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)
--219845
====TESTING:==== allpatent=# select count(********** INDEX CREATION **************) from patentsCleaned; count --------- 5411151 (1 row)
ALTER TABLE patents ADD PRIMARY KEY allpatent=# select count(*), patentnumber FROM patentsCleaned group by patentnumberhaving count(*)> 1; count | patentnumber -------+-------------- RESULT : ALTER TABLEallpatent=# CREATE UNIQUE INDEX patent_idx ON patents (patentnumber0 rows);
allpatent=# CREATE INDEX ON assignees (orgname);CREATE INDEX= Citations==
    **CitationsIn 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
== USPTO Consolidated Patent Data ==
ScriptsThe 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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