Short intro
Continuous development of Ajax Crawler importer led to data import problems. Oracle SQL Loader was used in all previous versions of my crawler, just this time its a multi-table structure in both: datafile and database.
Spent almost 2 weeks on the simple subject and after someone pointed out the solution I was not able to find more then 2 references online, so hopefully its the third one for you: "position(1)" - you must reset the loader if you are importing into multiple tables even though this directive looks like a fixed length argument. Table and datafile examples are shortened, just to give you the explanation of control file.
Tables
Im importing invoices into three tables: inv_invoices_imp, inv_invoice_lines_imp, inv_invoice_comments_imp. Inv_invoices_imp contains invoice header, inv_invoice_lines_imp contains accounting and invoice line data, inv_invoice_comments_imp - user comments.
Datafile
Datafile is a HTML file, containing 6 different tables/blocks: some text, header table, some text, lines table, comments table, some text. One datafile contains one invoice data.
SQL Loader config
Oracle SQL Loader can read, parse and load almost any type of data. Any separation, fixed or delimiter separated, single or multiple sources and destinations. For out case we got multistructured datafile and three different destination tables. Options used: truncate table, skip rows, conditional rows, fillers, sequences, foreign keys. If you got stuck with SQL Loader loading only empty lines and having no errors in log files here is a checklist: column names, data types, missed separators, encoding. Only
full list I was able to find is here, except the position(1) part.
Full loader.ctl file
OPTIONS (SKIP=1)
LOAD DATA
CHARACTERSET UTF8
INTO TABLE inv_invoices_imp
TRUNCATE
--APPEND
WHEN (1:1) = 'H'
FIELDS TERMINATED BY ';' OPTIONALLY ENCLOSED BY '"' trailing nullcols
(dummy0 FILLER, VENDOR_NUM, ACCOUNT_NUM, VENDOR_NAME, VENDOR_ORG, INVOICE_NUM, INVOICE_DATE "to_date(:INVOICE_DATE,'MM/DD/YYYY')",
DUE_DATE "to_date(:DUE_DATE,'MM/DD/YYYY')", VALUTA, AMOUNT "to_number(:AMOUNT,'99999999999.9999')", VALUTA_EX "to_number(:VALUTA_EX,'99999999999.9999')",
AMOUNT_NOK "to_number(:AMOUNT_NOK,'99999999999.9999')", KID, BILAGSNR, dummy1 FILLER, dummy2 FILLER, TAX "to_number(:TAX,'99999999999.9999')",
dummy3 FILLER, dummy4 FILLER, dummy5 FILLER, dummy6 FILLER, dummy7 FILLER, dummy8 FILLER, dummy9 FILLER, DERESREF, dummy10 FILLER,
dummy11 FILLER, dummy12 FILLER, INVOICE_ID EXPRESSION "INV_INVOICES_IMP_SEQ.nextval"
)
INTO TABLE inv_invoice_lines_imp
TRUNCATE
WHEN (1:1) = 'L'
FIELDS TERMINATED BY ';' OPTIONALLY ENCLOSED BY '"' trailing nullcols
(dummy0 FILLER POSITION(1), S1, S1_NAME, S2, S3, BELOP "to_number(:BELOP, '999999999999.9999')", DESCRIPTION, VAT_ID,
VAT_AMOUNT "to_number(:VAT_AMOUNT, '999999999999.9999')", BELOP_NOK "to_number(:BELOP_NOK, '999999999999.9999')",
S4, S5, S6, S7, dummy1 FILLER, FAKTURAID EXPRESSION "INV_INVOICES_IMP_SEQ.currval", ID EXPRESSION "INV_INVOICE_LINES_IMP_SEQ.nextval"
)
INTO TABLE inv_invoice_comments_imp
TRUNCATE
WHEN (1:1) = 'C'
FIELDS TERMINATED BY ';' OPTIONALLY ENCLOSED BY '"' trailing nullcols
(dummy FILLER POSITION(1), CUSER, ACTION, CDATE, DESCR, FAKTURAID EXPRESSION "INV_INVOICES_IMP_SEQ.currval",
ID EXPRESSION "INV_INVOICE_COMMENTS_IMP_SEQ.nextval"
)
Previous problems and config explanation
UTF8 - charset spec, I suggest you use it even though your file and database are unicode.
FILLER - useful argument, column name going with it may not exist in database table, for the same table - there cant be duplicates, so use them like dummy1, dummy2, etc. If you dont know it yet - here you specify order of your data in a datafile using destination table columns. use FILLER on the data columns that you want to skip.
to_date, to_number - a must use if your destination column is numeric or date, suggest importing them all as VARCHAR2 at first, then converting to desired datatype and checking them one by one.
EXPRESSION .NEXTVAL - will mention this one, you dont have to have this one in datafile, but its essential for creating foreign key relation with other related tables.
POSITION(1) - hopefully its the directive you are here for. Its used twice in two related tables and placed after the first column in setup. When loading into more than one table, the position has to be reset for each table after the first one, using POSITION(1) with the first field, even though it looks like fixed length directive. If you miss this directive you will end up with nice empty table lines with sequences and foreign keys, no errors in log file. With some luck you might see "all fields were null" message - but you must be very lucky - usually because of some other related error.
EXPRESSION .CURRVAL - not much magical, but here is how you establish relation with your parent table. Hopefully your data complexity is similar. I'm also using child tables ID sequence in control file just to show you the full view. Child ID generation is only needed if you use conventional data load path.
Sample datafile (chopped)
<...>
H;Leverandørnr;Bankkontonr;Leverandørnavn;Organisasjonsnr;Fakturanr;Fakturadato;Forfallsdato;Valuta;Fakturabeløp;Valutakurs;FakturabeløpNOK;KID;Bilagsnr;Scannebatch;Duplikat;Mvabeløp;Nettobeløp;Fakturatype;Val.dok;Selskapskode;Selskap;Refusjon postnr sted;refusjon Land;Deres Ref;Refusjon navn;Refusjon adresse;
H;40013;62190581506;TUR-RETUR AS - NO 870 989 587;870989587;105358;2/19/2015;3/1/2015;NOK;5064;1;5064;103071053583;
80746991;;N;403;4661;1;;FT;GatoFly AS;;;;;;
L;Konto;Kontonavn;Avdeling;Prosjekt;Beløp;Bilagstekst;MVA-kode;MVA beløp;Beløp NOK;Anlegg;Produkt;Salgssted;Kanal;Sats
L;7135;Reisekostnader;4500;1400;220;Nye FT. opphold H.Hernes 26-28.2/1-3.3;0;0;220;;;;;0
L;7135;Reisekostnader;4500;1400;4844;Nye FT. opphold H.Hernes 26-28.2/1-3.3;1D;358.81;4844;;;;;8
L;Fakturahistorikk
C;Bruker;Handling;Dato;Kommentarer
C;BTIP Connector ;Lagret av BTIPC ;2/24/2015 11:12:12 AM ;E-invoice saved by BTIPC
C;brigde ;Kommentar lagt til ;2/24/2015 11:28:04 AM ;Autosirk- referanse blank
C;brigde ;Grunnlagsdata endret ;2/24/2015 11:28:04 AM ;fakturatype-1
C;BTHANDLER ;Kommentar lagt til ;2/24/2015 11:28:04 AM ;matchSupplierAccount. match på konto.40013
C;BTHANDLER ;Kommentar lagt til ;2/24/2015 11:28:04 AM ;Endret flytstatus
C;BTHANDLER ;Kommentar lagt til ;2/24/2015 11:28:04 AM ;setCompName OK.
<...>
As you can see data is semicolon separated, first column is destination identifier, date and number separators are visible as well. Data has some crap text lines, but does not matter now. No external ID's or references are used. Invoice line import lines ("L") can be anywhere in the file, does not matter that now they are between header and comments. First column and some others are marked as FILLER in control file.
HTML to datafile
Will reveal some more cards for you. Data file was an old HTML file, it was missing end-tags, using a couple of self aspired tags, data formatting was also not very handy. Here is full source of my bash script used to prepare the file for reading.
#!/bin/sh
file="$1"
echo processing $file
echo converting to unicode
cat $file | iconv -f utf-16 -t utf-8 > "$file".out
echo done
echo HTML cleanup
less "$file".out | tr ',' '.' | sed 's/ //g' | sed 's/\cM//g' | sed 's/\cW//g' | sed 's/<\/TR>/<\/TR>
/g' | sed 's|
sed 's/
/
\n/g' | sed ':a;N;$!ba;s|\n
sed 's/
/
\n/g' > "$file".clean
echo cleanup complete
echo header and lines separation
./filter -t 2 -c 2 -f "$file".clean > "$file".tmp
./filter -t 3 -f "$file".clean > "$file".lines
./filter -t 4 -f "$file".clean > "$file".comments
echo done separating
echo transposing headers
cols=2; for((i=1;i<=$cols;i++)); do awk -F ";" 'BEGIN{ORS=";";} {print $'$i'}' "$file".tmp | tr '\n' ' '; echo; done > "$file".header
echo transposed
echo cleanup
rm "$file".out -rf
rm "$file".clean -rf
rm "$file".tmp -rf
echo cleaned up
echo single file
sed -e 's/^/H;/' "$file".header > "$file".out
sed -e 's/^/L;/' "$file".lines >> "$file".out
sed -e 's/^/C;/' "$file".comments >> "$file".out
echo joined
echo sql loader start
sqlldr schema/******@sid data="$file".out control=loader.ctl discard="$file".discard
echo loaded
Bash script usage is simple:
# script.sh data_file.html
Conversion explanations
Conversion - my html file was encoded in utf16 so first step is to get some readable file instead of binary looking one.
HTML cleanup - examples and more explanations are available in previous post
Crawling AjAx part 2. In this case I had to add the missing end-tags, generate data separators, move some new lines forth and back to have a readable file.
Filter - a modified HTML table selection script. Source is also available in
Crawling AjAx part 2. This script picks desired table and column data from a formated HTML file.
Transposition - new problem, header table data is vertical, lines and comments - horizontal. Have to separate header and make the data horizontal as well.
Last steps - transposed data is joined back to a working file, each table data gets a distinctive line marker to be used with SQL Loader. Last step - SQL Loader call. You can skip the cleanup step to see the temporary working files if needed.
Contact
Contact me simakas[at]gmail.com for details or original source code if needed.
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