Difference between revisions of "Blitvak Week 6"

Revision as of 01:54, 12 October 2015

Individual Journal Assignment Week 6

Downloading and Decompressing Data Files, Other Assignment Preparation

• Looking over the Week 6 Assignment Page, I found that curl -O http://www.fda.gov/downloads/Drugs/InformationOnDrugs/UCM054599.zip can be used, while I am in the /nfs/home/blitvak directory, to place a .zip containing the data files directly into my personal folder. I found that unzip UCM054599.zip unzips the files into the personal folder.
• I also downloaded and installed pgAdmin III from http://www.pgadmin.org/
• I spent some time reviewing the PostgreSQL Tutorial
• I booted up PuTTy and unzipped the files into my home folder

Working with application.txt

Opening and Reviewing the File

• I opened up and reviewed the application.txt and Product.txt files using more <filename.txt>; I found that the data column labels for application.txt are:

ApplNo  ApplType  SponsorApplicant  MostRecentLabelAvailableFlag  CurrentPatentFlag  ActionType  Chemical_Type  Ther_Potential  Orphan_Code

• Reviewing the actual data, and with PostgreSQL in mind, I found that the variable type for each column should be:

ApplNo: int(primary key)  ApplType: varchar  SponsorApplicant: varchar  MostRecentLabelAvailableFlag: boolean  CurrentPatentFlag: boolean  ActionType: varchar  Chemical_Type: int 
Ther_Potential: varchar  Orphan_Code: varchar          

• I realized that any empty data spaces in application.txt will have to be turned into null
• I realized that sed "1D" will have to be executed in order to remove the first row (which is column labeling)
• Referencing the Week 6 Assignment Page, I learned that the data within these text files is separated by tabs (\t) instead of commas

Modifying application.txt

• I opened the file and decided to try to turn the tabs into commas using cat application.txt | sed "s/\t/,/g"
  • Adding onto that, I decided to get rid of the other spaces between the data by using sed -e "s/\s\{4,\}//g", which matches 4 whitespaces and removes them. This command was found in a StackExchange post.
• At this point, I noticed that many lines had extra commas either at the ends of the lines or in the middle, indicating missing or nonexistent values
  • I used sed "s/,,,\r$/,null,null,null/;s/,,\r$/,null,null/;s/,\r$/,null/1" | sed "s/,,/,null/;s/,,,/,null,null/g", along with what I already have, in order to turn any extra commas (missing values) into null
• My focus now turned to making sure that all data that was identified as being varchar has apostrophes wrapping around it.
  • Working with the ApplType data and my previous work, I used sed "s/......,/&'/1" | sed "s/'./&'/1" to surround it with apostrophes.
  • Working with the SponsorApplicant data, I added sed "s/',/&'/g" | sed "s/,./'&/3" to wrap apostrophes around the third data type in each line
  • I used sed "s/,/&'/5" | sed "s/'../&'/4", to place apostrophes around the two character data under ActionType
• Using grep "nullP", grep "nullS", and grep "nullV" with the current pipeline of commands:
  • cat application.txt | sed "1D" | sed "s/\t/,/g" | sed -e "s/\s\{4,\}//g" | sed "s/,,,\r$/,null,null,null/;s/,,\r$/,null,null/;s/,\r$/,null/1" | sed "s/,,/,null/;s/,,,/,null,null/g" | sed "s/......,/&'/1" | sed "s/'./&'/1" | sed "s/',/&'/g" | sed "s/,./'&/3" | sed "s/,/&'/5" | sed "s/'../&'/4"
  • I noticed that some of the null values are not separated from adjacent data with commas; I added sed "s/nullS/null,S/g" | sed "s/nullV/null,V/g" | sed "s/nullP/null,P/g" to fix this issue and I checked the result using grep
  • With the Ther_Potential data being now completely separated by commas from the other data, I then proceeded to try to surround it with apostrophes. I first added sed "s/,'..',.,/&'/g" to add the first apostrophe, and I noticed that this command led some null values to gain an apostrophe. I added sed "s/'null/null/g"/<code> to clean them up. I later noticed that some Ther_potential values have asterisks tied to them, I used <code>grep "P\*" and grep "S\*" to confirm the presence of asterisks. Finally, I added sed "s/'S,null/'S',null/g" | sed "s/'P,null/'P',null/g" | sed "s/'S,V/'S',V/g" | sed "s/'P,V/'P',V/g" | sed "s/'P\*/'P\*'/g" | sed "s/'S\*/'S\*'/g" to the pipeline to fully surround the Ther_Potential values.
  • I surrounded the Orphan_Code variable with apostrophes by adding sed "s/,V/,'V'/g" to the pipeline (Orphan_Code is often null but when it is present, it is always a V)
• I finished formatting the file by adding sed "s/^/insert into applications(ApplNo,ApplType,SponsorApplicant,MostRecentLabelAvailableFlag,CurrentPatentFlag,ActionType,Chemical_Type,Ther_Potential,Orphan_Code) values(/g" | rev | sed -r "s/llun|'V'/;)&/1" | rev to the pipeline. I decided to reverse the file in this set of commands because I could not get sed to add ); to the very end of each line; I decided upon creating a multiple choice sed command that worked on the very first match of a line.

Generating the application.sql.txt file

• I generated the application.sql.txt file using cat application.txt | sed "1D" | sed "s/\t/,/g" | sed -e "s/\s\{4,\}//g" | sed "s/,,,\r$/,null,null,null/;s/,,\r$/,null,null/;s/,\r$/,null/1" | sed "s/,,/,null/;s/,,,/,null,null/g" | sed "s/......,/&'/1" | sed "s/'./&'/1" | sed "s/',/&'/g" | sed "s/,./'&/3" | sed "s/,/&'/5" | sed "s/'../&'/4" | sed "s/nullS/null,S/g" | sed "s/nullV/null,V/g" | sed "s/nullP/null,P/g" | sed "s/,'..',.,/&'/g" | sed "s/'null/null/g" | sed "s/'S,null/'S',null/g" | sed "s/'P,null/'P',null/g" | sed "s/'S,V/'S',V/g" | sed "s/'P,V/'P',V/g" | sed "s/'P\*/'P\*'/g" | sed "s/'S\*/'S\*'/g" | sed "s/,V/,'V'/g" | sed "s/^/insert into applications(ApplNo,ApplType,SponsorApplicant,MostRecentLabelAvailableFlag,CurrentPatentFlag,ActionType,Chemical_Type,Ther_Potential,Orphan_Code) values(/g" | rev | sed -r "s/llun|'V'/;)&/1" | rev > ~/public_html/application.sql.txt
• I proceeded to input http://my.cs.lmu.edu/~blitvak/application.sql.txt into my browser and I copied all of the data

Testing application.sql.txt in pgAdmin III

• I created a table in postgreSQL using create table applications (ApplNo int primary key, ApplType varchar, SponsorApplicant varchar, MostRecentLabelAvailableFlag boolean, CurrentPatentFlag boolean, ActionType varchar, Chemical_Type int, Ther_Potential varchar, Orphan_Code varchar)
• I pasted the data into the program and noticed these types of errors:

1. Type 1

ERROR:  syntax error at or near "lse"
LINE 17882: ... values(125422,'B','THROMBOGENICS', INC,False,'Fa'lse,AP,nul...

2. Type 2

ERROR:  column "s" does not exist
LINE 161: ...e) values(008319,'N','NOVARTIS',False,False,'AP',14,S,null);
ERROR:  column "s" does not exist
LINE 360: ...10721,'N','CITRON PHARMA LLC',False,False,'AP',null,S,null);
ERROR:  column "p" does not exist
LINE 617: ...de) values(013025,'N','HOSPIRA',False,False,'AP',14,P,null);

• The Type 1 Error, I noticed was linked to the presence of commas in the original raw data with respect to the many company names, should be fixed by placing sed "s/,//g" near the beginning of the pipe.
• The Type 2 Error seems to be tied to the presence of a double digit Chemical_Type; it might be remedied by adding sed "s/,S,/,'S',/;s/,P,/,'P',/;s/,S\*,/,'S\*',/;s/,P\*,/,'P\*',/g" near the end of the pipe.
  • The modified pipe to be tested again is:

cat application.txt | sed "s/,//g" | sed "1D" | sed "s/\t/,/g" | sed -e "s/\s\{4,\}//g" | sed "s/,,,\r$/,null,null,null/;s/,,\r$/,null,null/;s/,\r$/,null/1" | sed "s/,,/,null/;s/,,,/,null,null/g" | sed "s/......,/&'/1" | sed "s/'./&'/1" | sed "s/',/&'/g" | sed "s/,./'&/3" | sed "s/,/&'/5" | sed "s/'../&'/4" | sed "s/nullS/null,S/g" | sed "s/nullV/null,V/g" | sed "s/nullP/null,P/g" | sed "s/,'..',.,/&'/g" | sed "s/'null/null/g" | sed "s/'S,null/'S',null/g" | sed "s/'P,null/'P',null/g" | sed "s/'S,V/'S',V/g" | sed "s/'P,V/'P',V/g" | sed "s/'P\*/'P\*'/g" | sed "s/'S\*/'S\*'/g" | sed "s/,V/,'V'/g" | sed "s/^/insert into applications(ApplNo,ApplType,SponsorApplicant,MostRecentLabelAvailableFlag,CurrentPatentFlag,ActionType,Chemical_Type,Ther_Potential,Orphan_Code) values(/g" | rev | sed -r "s/llun|'V'/;)&/1" | rev | sed "s/,S,/,'S',/;s/,P,/,'P',/;s/,S\*,/,'S\*',/;s/,P\*,/,'P\*',/g"

• This new pipeline revealed another error that I did not notice earlier (but resulted in the fixing of the previous errors):

ERROR:  INSERT has more target columns than expressions
LINE 4864: ...atentFlag,ActionType,Chemical_Type,Ther_Potential,Orphan_Cod...
insert into applications(ApplNo,ApplType,SponsorApplicant,MostRecentLabelAvailableFlag,CurrentPatentFlag,ActionType,Chemical_Type,Ther_Potential,Orphan_Code) values(125057,'B','ABBVIE INC',False,False,'AP',null,'V');

• It seems that every line with a null instead of Chemical_Type value, prior to an Orphan_Code, is missing a null value (common pattern is 'AP',null,'V')
  • Inserting sed "s/'AP',null,'V'/'AP',null,null,'V'/g" near the end of the pipe might correct this issue.
• The fix worked and the final pipe resulted in a successful table creation. The final pipeline of commands is:

cat application.txt | sed "s/,//g" | sed "1D" | sed "s/\t/,/g" | sed -e "s/\s\{4,\}//g" | sed "s/,,,\r$/,null,null,null/;s/,,\r$/,null,null/;s/,\r$/,null/1" | sed "s/,,/,null/;s/,,,/,null,null/g" | sed "s/......,/&'/1" | sed "s/'./&'/1" | sed "s/',/&'/g" | sed "s/,./'&/3" | sed "s/,/&'/5" | sed "s/'../&'/4" | sed "s/nullS/null,S/g" | sed "s/nullV/null,V/g" | sed "s/nullP/null,P/g" | sed "s/,'..',.,/&'/g" | sed "s/'null/null/g" | sed "s/'S,null/'S',null/g" | sed "s/'P,null/'P',null/g" | sed "s/'S,V/'S',V/g" | sed "s/'P,V/'P',V/g" | sed "s/'P\*/'P\*'/g" | sed "s/'S\*/'S\*'/g" | sed "s/,V/,'V'/g" | sed "s/^/insert into applications(ApplNo,ApplType,SponsorApplicant,MostRecentLabelAvailableFlag,CurrentPatentFlag,ActionType,Chemical_Type,Ther_Potential,Orphan_Code) values(/g" | rev | sed -r "s/llun|'V'/;)&/1" | rev | sed "s/,S,/,'S',/;s/,P,/,'P',/;s/,S\*,/,'S\*',/;s/,P\*,/,'P\*',/g" | sed "s/'AP',null,'V'/'AP',null,null,'V'/g"

> ~public_html/application.sql.txt For Product.txt, the column labels were:

Defining the appropriate tables for the Application and Product entities

Process the data files for these entities then load them into those tables

Questions Regarding Database Creation