I have a table with the following structure:
create table my_table (
id integer,
point Point -- UDT made of two integers (x, y)
)
and i have a CSV file with the following data:
#id, point
1|(3, 5)
2|(7, 2)
3|(6, 2)
now i want to bulk load this CSV into my table, but i cant find any information about how to handle the UDT in Oracle sqlldr util. Is is possible to use the bulk load util when having UDT columns?
I don't know if sqlldr can do this, but personally I would use an external table.
Attach the file as an external table (the file must be on the database server), and then insert the contents of the external table into the destination table transforming the UDT into two values as you go. The following select from dual should help you with the translation:
select
regexp_substr('(5, 678)', '[[:digit:]]+', 1, 1) x_point,
regexp_substr('(5, 678)', '[[:digit:]]+', 1, 2) y_point
from dual;
UPDATE
In sqlldr, you can transform fields using standard SQL expressions:
LOAD DATA
INFILE 'data.dat'
BADFILE 'bad_orders.txt'
APPEND
INTO TABLE test_tab
FIELDS TERMINATED BY "|"
( info,
x_cord "regexp_substr(:x_cord, '[[:digit:]]+', 1, 1)",
)
The control file above will extract the first digit in the fields like (3, 4), but I cannot find a way to extract the second digit - ie I am not sure if it is possible to have the same field in the input file inserted into two columns.
If external tables are not an option for you, I would suggest either (1) transform the file before loading, using sed, awk, Perl etc or (2) SQLLDR the file into a temporary table and then have a second process to trandform the data and insert into your final table. Another option is to look at how the file is generated - could you generate it so that the field you need to transform is repeated in two fields in the file, eg:
data|(1, 2)|(1, 2)
Maybe someone else will chip in with a way to get sqlldr to do what you want.
Solved the problem after more research, because Oracle SQL*Loader has this feature, and it is used by specifying a column object, the following was the solution:
LOAD DATA
INFILE *
INTO TABLE my_table
FIELDS TERMINATED BY "," OPTIONALLY ENCLOSED BY '"'
TRAILING NULLCOLS
(
id,
point column object
(
x,
y
)
)
BEGINDATA
1,3,5
2,7,2
3,6,2
Related
I really need your help
I am always work on SQL server, but now I am working on something else and that why I need your help.
I m working on (Oracle SQL plus), I have a text file lets say the name test.txt and just I want to upload data from this file to database table using SQL plus
lets say the text file data:
001,mike,1-1-2018
002,jon,20-12-2017
003,bill 25-5-2018
how to write a code pl/sql on sql plus to upload the data from the text file to the table on my data base??
usually on SQL server I use Bulk insert, here what the methods?
I tried many from the internet but not solved.
Please help me
Thanks a lot
If the text file is on the same machine you're running SQL*Plus from, you can use the SQL*Loader utility.
As a simple example, lets say your table is:
create table your_table (id number, name varchar2(10), some_date date);
And you have a text file data.txt containing what you showed, but with a comma added on the third line:
001,mike,1-1-2018
002,jon,20-12-2017
003,bill,25-5-2018
You can create a basic SQL*Loader control file in the same directory, called say your_table.ctl, with something like:
LOAD DATA
INFILE 'data.txt'
APPEND
INTO TABLE your_table
FIELDS TERMINATED BY ',' OPTIONALLY ENCLOSED BY '"'
TRAILING NULLCOLS
(
ID,
NAME,
SOME_DATE DATE "DD-MM-YYYY"
)
Look at the documentation to see what all those mean, particularly what APPEND means; you may want to TRUNCATE instead - but be careful with that.
Then run SQL*Loader from the command line (not from within SQL*Plus), using the same credentials and connect string you normally use to connect to the database:
sqlldr userid=usr/pwd#tns control=your_table.ctl
Once that has completed - assuming there are no errors reported on console ro in the log file it creates - then querying your table will show:
select * from your_table;
ID NAME SOME_DATE
---------- ---------- ----------
1 mike 2018-01-01
2 jon 2017-12-20
3 bill 2018-05-25
There are lots of other options and capabilities, but that might cover what you need at the moment.
I am newbie in hadoop and I have to add data into table in hive.
I have data from FIX4.4 protocol, something like this...
8=FIX.4.4<SHO>9=85<SHO>35=A<SHO>34=524<SHO>49=SSGMdemo<SHO>52=20150410-15:25:55.795<SHO>56=Trumid<SHO>98=0<SHO>108=30<SHO>554=TruMid456<SHO>10=154<SHO>
8=FIX.4.4<SHO>9=69<SHO>35=A<SHO>34=1<SHO>49=Trumid<SHO>52=20150410-15:25:58.148<SHO>56=SSGMdemo<SHO>98=0<SHO>108=30<SHO>10=093<SHO>
8=FIX.4.4<SHO>9=66<SHO>35=2<SHO>34=2<SHO>49=Trumid<SHO>52=20150410-15:25:58.148<SHO>56=SSGMdemo<SHO>7=1<SHO>16=0<SHO>10=174<SHO>
8=FIX.4.4<SHO>9=110<SHO>35=5<SHO>34=525<SHO>49=SSGMdemo<SHO>52=20150410-15:25:58.164<SHO>56=Trumid<SHO>58=MsgSeqNum too low, expecting 361 but received 1<SHO>10=195<SHO>
Firstly, what i want is, in 8=FIX.4.4 8 as column name, and FIX.4.4 as value of that column, in 9=66 9 should be column name and 66 would be value of that column and so on.... and there are so many rows in raw file like this.
Secondly, same thing for another row, and that data would append in next row of table in hive.
Now what should i do that i am not able to think.
Any help would be appriciable.
I would first create a tab-separated-file containing this data. I suggested to use a regex in the comments but if that is not your strong suit you can just split on the <SHO> tag and =. Since you did not specify the language you want to use I will suggest a 'solution' in Python.
The code below shows you how to write one of your input lines to a CSV file.
This can easily be extended to support multiple of these lines or to append lines to the CSV files once it is already created.
import csv
input = "8=FIX.4.4<SHO>9=85<SHO>35=A<SHO>34=524<SHO>49=SSGMdemo<SHO>52=20150410-15:25:55.795<SHO>56=Trumid<SHO>98=0<SHO>108=30<SHO>554=TruMid456<SHO>10=154<SHO>"
l = input.split('<SHO>')[:-1] # Don't include last element since it's empty
list_of_pairs = map(lambda x: tuple(x.split('=')),l)
d = dict(list_of_pairs)
with open('test.tsv', 'wb') as c:
cw = csv.writer(c, delimiter='\t')
cw.writerow(d.keys()) # Comment this if you don't want to have a header
cw.writerow(d.values())
What this code does is first split the input line on <SHO> meaning it creates a list of col=val strings. What I does next is create a list of tuple pairs where each tuple is (col,val).
Then it creates a dictionary from this, which is not strictly necessary but might help you if you want to extend the code for more lines.
Next I create a tab-separated-value file test.tsv containing a header and the values in the next line.
This means now you have a file which Hive can understand.
I am sure you can find a lot of articles on importing CSV or tab-separated-value files, but I will give you an example of a generic Hive query you can use to import this file once it is in HDFS.
CREATE TABLE if not exists [database].[table]
([Col1] Integer, [Col2] Integer, [Col3] String,...)
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
LINES TERMINATED BY '\n'
TBLPROPERTIES('skip.header.line.count'='1');
LOAD DATA inpath '[HDFS path]'
overwrite INTO TABLE [database].[table];
Hope this gives you a better idea on how to proceed.
Copy the file to HDFS and create an external table with a single column (C8), then use the below select statement to extract each columns
create external table tablename(
c8 string )
STORED AS TEXTFILE
location 'HDFS path';
select regexp_extract(c8,'8=(.*?)<SHO>',1) as c8,
regexp_extract(c8,'9=(.*?)<SHO>',1) as c9,
regexp_extract(c8,'35=(.*?)<SHO>',1) as c35,
regexp_extract(c8,'34=(.*?)<SHO>',1) as c34,
regexp_extract(c8,'49=(.*?)<SHO>',1) as c49,
regexp_extract(c8,'52=(.*?)<SHO>',1) as c52,
regexp_extract(c8,'56=(.*?)<SHO>',1) as c56,
regexp_extract(c8,'98=(.*?)<SHO>',1) as c98,
regexp_extract(c8,'108=(.*?)<SHO>',1) as c108,
regexp_extract(c8,'554=(.*?)<SHO>',1) as c554,
regexp_extract(c8,'35=(.*?)<SHO>',1) as c10
from tablename
I have a fixed length data file a.dat with below data in it
1234544550002200011000330006600000
my focus is on specific positions
POSITION(1:4)
POSITION(5:8)
and I want to add values in these 2 positions and insert it in a field named Qty in XYZ_Table.
I am trying to the following in my CTL file. But it fails, and I don't know how to pursue it further.
LOAD DATA
INFILE '$SOME_DATA/a.dat'
APPEND
PRESERVE BLANKS
INTO TABLE XYZ_Table
(QTY POSITION(1:4)+POSITION(5:8) "to_number(:QTY)")
I need to achieve this addition functionality in SQL Loader only.
If the above methodology is not possible, it would be great if you can help me with a different approach.
P.S: What I am trying to achieve is just one part of the bigger CTL file.
You need to identify the positions you want to add together but not load into their own columns as "BOUNDFILLER", which means don't load them but remember them for use in an expression later. Then use like this:
LOAD DATA
infile test.dat
append
preserve blanks
INTO TABLE X_test
TRAILING NULLCOLS
(val_1 BOUNDFILLER position(1:4)
,val_2 BOUNDFILLER position(5:8)
,qty ":val_1 + :val_2"
)
I've been searching for a while now but can't seem to find answers so here goes...
I've got a CSV file that I want to import into a table in Oracle (9i/10i).
Later on I plan to use this table as a lookup for another use.
This is actually a workaround I'm working on since the fact that querying using the IN clause with more that 1000 values is not possible.
How is this done using SQLPLUS?
Thanks for your time! :)
SQL Loader helps load csv files into tables: SQL*Loader
If you want sqlplus only, then it gets a bit complicated. You need to locate your sqlloader script and csv file, then run the sqlldr command.
Another solution you can use is SQL Developer.
With it, you have the ability to import from a csv file (other delimited files are available).
Just open the table view, then:
choose actions
import data
find your file
choose your options.
You have the option to have SQL Developer do the inserts for you, create an sql insert script, or create the data for a SQL Loader script (have not tried this option myself).
Of course all that is moot if you can only use the command line, but if you are able to test it with SQL Developer locally, you can always deploy the generated insert scripts (for example).
Just adding another option to the 2 already very good answers.
An alternative solution is using an external table: http://www.orafaq.com/node/848
Use this when you have to do this import very often and very fast.
SQL Loader is the way to go.
I recently loaded my table from a csv file,new to this concept,would like to share an example.
LOAD DATA
infile '/ipoapplication/utl_file/LBR_HE_Mar16.csv'
REPLACE
INTO TABLE LOAN_BALANCE_MASTER_INT
fields terminated by ',' optionally enclosed by '"'
(
ACCOUNT_NO,
CUSTOMER_NAME,
LIMIT,
REGION
)
Place the control file and csv at the same location on the server.
Locate the sqlldr exe and invoce it.
sqlldr userid/passwd#DBname control=
Ex : sqlldr abc/xyz#ora control=load.ctl
Hope it helps.
Somebody asked me to post a link to the framework! that I presented at Open World 2012. This is the full blog post that demonstrates how to architect a solution with external tables.
I would like to share 2 tips: (tip 1) create a csv file (tip 2) Load rows from a csv file into a table.
====[ (tip 1) SQLPLUS to create a csv file form an Oracle table ]====
I use SQLPLUS with the following commands:
set markup csv on
set lines 1000
set pagesize 100000 linesize 1000
set feedback off
set trimspool on
spool /MyFolderAndFilename.csv
Select * from MYschema.MYTABLE where MyWhereConditions ;
spool off
exit
====[tip 2 SQLLDR to load a csv file into a table ]====
I use SQLLDR and a csv ( comma separated ) file to add (APPEND) rows form the csv file to a table.
the file has , between fields text fields have " before and after the text
CRITICAL: if last column is null there is a , at the end of the line
Example of data lines in the csv file:
11,"aa",1001
22,"bb',2002
33,"cc",
44,"dd",4004
55,"ee',
This is the control file:
LOAD DATA
APPEND
INTO TABLE MYSCHEMA.MYTABLE
fields terminated by ',' optionally enclosed by '"'
TRAILING NULLCOLS
(
CoulmnName1,
CoulmnName2,
CoulmnName3
)
This is the command to execute sqlldr in Linux. If you run in Windows use \ instead of / c:
sqlldr userid=MyOracleUser/MyOraclePassword#MyOracleServerIPaddress:port/MyOracleSIDorService DATA=datafile.csv CONTROL=controlfile.ctl LOG=logfile.log BAD=notloadedrows.bad
Good luck !
From Oracle 18c you could use Inline External Tables:
Inline external tables enable the runtime definition of an external table as part of a SQL statement, without creating the external table as persistent object in the data dictionary.
With inline external tables, the same syntax that is used to create an external table with a CREATE TABLE statement can be used in a SELECT statement at runtime. Specify inline external tables in the FROM clause of a query block. Queries that include inline external tables can also include regular tables for joins, aggregation, and so on.
INSERT INTO target_table(time_id, prod_id, quantity_sold, amount_sold)
SELECT time_id, prod_id, quantity_sold, amount_sold
FROM EXTERNAL (
(time_id DATE NOT NULL,
prod_id INTEGER NOT NULL,
quantity_sold NUMBER(10,2),
amount_sold NUMBER(10,2))
TYPE ORACLE_LOADER
DEFAULT DIRECTORY data_dir1
ACCESS PARAMETERS (
RECORDS DELIMITED BY NEWLINE
FIELDS TERMINATED BY '|')
LOCATION ('sales_9.csv') REJECT LIMIT UNLIMITED) sales_external;
This question already has answers here:
Load Excel data sheet to Oracle database
(6 answers)
Closed 8 years ago.
How to copy the data from Excel to oracle?
There are many different methods, depending
upon the amount of data, the repetitiveness
of the process, and the amount of programming
I am willing to invest.
First, create the Oracle table, using the
SQL CREATE TABLE statement to define the table's
column lengths and types. Here's an example of a
sqlplus 'CREATE TABLE' statement:
CREATE TABLE SPECIES_RATINGS
(SPECIES VARCHAR2(10),
COUNT NUMBER,
RATING VARCHARC2(1));
Then load the data using any of the following
methods or an entirely new method you invent:
--------------------------------------------
First load method:
I use the SQL*Loader method.
You will need to save a copy of your spreadsheet
in a text format like CSV or PRN.
SQL*Loader Control file for CSV file:
load data
infile 'c:\data\mydata.csv'
into table emp
fields terminated by "," optionally enclosed by '"'
( empno, empname, sal, deptno )
There are some GUIs that have wizards to walk you through the
process (Enterprise Manager -> Maintenance -> Data Movement ->
Move Row Data -> Load Data from User Files) for the
ad-hoc imports. Toad for Oracle has a SQL*Loader Wizard as
well. (DBA -> Data Import/Export -> SQL*Loader Wizard)
You can save your Excel data in PRN format if you are
planning to use positional data (fixed length) in your
control file.
SQL*Loader Control file for PRN file:
load data
infile 'c:\data\mydata.prn'
replace
into table departments
( dept position (02:05) char(4),
deptname position (08:27) char(20) )
Position(02:05) will give the 2nd to the 5th character
Once I've gone through the EM or Toad wizard, I save
the control file, tweak it as needed in a text editor,
and reuse it in SQL*Plus scripts.
SQL*Loader is handy also since it allows you to
skip certain data and call filter functions (i.e.
native functions as in DECODE() or TO_DATE() or
user defined functions) in your control .ctl file.
You can load from multiple input files provided
they use the same record format by repeating the
INFILE clause. Here is an example:
LOAD DATA
INFILE file1.prn
INFILE file2.prn
INFILE file3.prn
APPEND
INTO TABLE emp
( empno POSITION(1:4) INTEGER EXTERNAL,
ename POSITION(6:15) CHAR,
deptno POSITION(17:18) CHAR,
mgr POSITION(20:23) INTEGER EXTERNAL
)
You can also specify multiple "INTO TABLE" clauses
in the SQL*Loader control file to load into multiple
tables.
LOAD DATA
INFILE 'mydata.dat'
REPLACE
INTO TABLE emp
WHEN empno != ' '
( empno POSITION(1:4) INTEGER EXTERNAL,
ename POSITION(6:15) CHAR,
deptno POSITION(17:18) CHAR,
mgr POSITION(20:23) INTEGER EXTERNAL
)
INTO TABLE proj
WHEN projno != ' '
( projno POSITION(25:27) INTEGER EXTERNAL,
empno POSITION(1:4) INTEGER EXTERNAL
)
With SQL*Loader, you can selectively load only
the records you need (see WHEN clause), skip
certain columns while loading data (see FILLER
columns) and load multi-line records (see
CONCATENATE and CONTINUEIF)
Once you've created the control file, you need
to start sql loader from the command line like this:
sqlldr username/password#connect_string control=ctl_file.ctl log=log.log
You can create a batch file to call sqlldr.
For more examples, see
http://examples.oreilly.com/orsqlloader/
That's it for the versatile SQL*Loader.
--------------------------------------------
Second load method:
In this scenario, I have full control of the
spreadsheet, but less control of the data because
users send me the spreadsheets back with data.
I create another worksheet within the same Excel
file, which has locked down INSERT statements
referring back to the sheet with the data. When
I receive the spreadsheet, I copy and paste the
INSERT statements directly into SQL*Plus, or
indirectly staging them in a SQL script.
Excel is a great tool for composing dynamic
SQL statements dynamically. (see Excel functions)
--------------------------------------------
Third load method:
If you need a utility to load Excel data into
Oracle, download quickload from sourceforge at
http://sourceforge.net/projects/quickload
--------------------------------------------
Fourth load method:
In theory, this should work.
Configure Generic Database connectivity (Heterogeneous Database HS)
Connect to the Excel spreadsheet from Oracle through ODBC.
Describe it (see DESC command) or
CREATE TABLE AS SELECT col1, col2 FROM ExcelTable
to make a copy and see what data types Oracle assigns
the columns by default.
http://www.e-ammar.com/Oracle_TIPS/HS/configuring_generic_database_con.htm
--------------------------------------------
References:
http://209.85.173.132/search?q=cache:GJN388WiXTwJ:www.orafaq.com/wiki/SQL*Loader_FAQ+Oracle+control+file+columns&cd=3&hl=en&ct=clnk&gl=us
http://forums.oracle.com/forums/thread.jspa?threadID=305918&tstart=0
http://techrepublic.com.com/5208-6230-0.html?forumID=101&threadID=223797&messageID=2245485
http://examples.oreilly.com/orsqlloader/
A DBA once showed me an easy trick:
In someplace like another sheet, create a formula like:
INSERT INTO my_table (name, age, monkey) VALUES ('" & A1 & "', " & B1 & ", '" & C1 & "');"
Copy/paste it into the appropriate rows (Excel automatically changes your formula to A2, A3, etc.)
Then copy/paste the result into sqlplus.
The simplest way I can think of is to put Access in the middle. Attach to Excel (or import the data into Access); then attach to the destination Oracle tables and copy. The Access Export facility also works pretty well.
Use external tables
Perhaps some combination of DBD::Oracle, DBD::Excel and DBIx::Copy? But surely there's an easier way...
If its a once off, or rare thing, and you can export to csv, then the Application Express or SQL Loader facilities would work fine. If its a regular thing, then Chris's suggestion is what I'd go with.