I've got a merge query that needs to be executed one time for each combination of day and sessionType inside the request ArrayList. I am using nativeQuery to execute it.
MERGE INTO TABLE_A A
USING
(
SELECT
:description AS DESCRIPTION,
:sessionType AS SESSION_TYPE,
:day AS DAY,
:flag1 AS FLAG1,
:flag2 AS FLAG2,
FROM DUAL) AS SOURCE
ON (SOURCE.DESCRIPTION=
A.DESCRIPTION AND SOURCE.DAY=
A.DAY
)
WHEN MATCHED THEN
UPDATE SET
FLAG1=SOURCE.FLAG1,
FLAG2=SOURCE.FLAG2
WHEN NOT MATCHED THEN
INSERT (
DESCRIPTION,
SESSION_TYPE,
DAY,
FLAG1,
FLAG2
)
VALUES (
SOURCE.DESCRIPTION,
SOURCE.SESSION_TYPE,
SOURCE.DAY,
SOURCE.FLAG1,
SOURCE.FLAG2
);
Is there a way to plain the source data (two ArrayLists, one with a date range instead a single day, and the other with all the session types), so I can execute the merge just one time? I have been told this can be achieved using a WITH but I have no idea how to do it.
Any help would be appreciated.
you can use executeBatch: in this case oracle executes your sql statement on the input array automatically
you can bind a collection and use it in table() like this:
MERGE INTO TABLE_A A
USING
(
SELECT *
FROM table(:bind_collection)
) AS SOURCE
ON (SOURCE.DESCRIPTION=
A.DESCRIPTION AND SOURCE.DAY=
A.DAY
)
WHEN MATCHED THEN
UPDATE SET
FLAG1=SOURCE.FLAG1,
FLAG2=SOURCE.FLAG2
WHEN NOT MATCHED THEN
...
I have an unnormalized events-diary CSV from a client that I'm trying to load into a MySQL table so that I can refactor into a sane format. I created a table called 'CSVImport' that has one field for every column of the CSV file. The CSV contains 99 columns , so this was a hard enough task in itself:
CREATE TABLE 'CSVImport' (id INT);
ALTER TABLE CSVImport ADD COLUMN Title VARCHAR(256);
ALTER TABLE CSVImport ADD COLUMN Company VARCHAR(256);
ALTER TABLE CSVImport ADD COLUMN NumTickets VARCHAR(256);
...
ALTER TABLE CSVImport Date49 ADD COLUMN Date49 VARCHAR(256);
ALTER TABLE CSVImport Date50 ADD COLUMN Date50 VARCHAR(256);
No constraints are on the table, and all the fields hold VARCHAR(256) values, except the columns which contain counts (represented by INT), yes/no (represented by BIT), prices (represented by DECIMAL), and text blurbs (represented by TEXT).
I tried to load data into the file:
LOAD DATA INFILE '/home/paul/clientdata.csv' INTO TABLE CSVImport;
Query OK, 2023 rows affected, 65535 warnings (0.08 sec)
Records: 2023 Deleted: 0 Skipped: 0 Warnings: 198256
SELECT * FROM CSVImport;
| NULL | NULL | NULL | NULL | NULL |
...
The whole table is filled with NULL.
I think the problem is that the text blurbs contain more than one line, and MySQL is parsing the file as if each new line would correspond to one databazse row. I can load the file into OpenOffice without a problem.
The clientdata.csv file contains 2593 lines, and 570 records. The first line contains column names. I think it is comma delimited, and text is apparently delimited with doublequote.
UPDATE:
When in doubt, read the manual: http://dev.mysql.com/doc/refman/5.0/en/load-data.html
I added some information to the LOAD DATA statement that OpenOffice was smart enough to infer, and now it loads the correct number of records:
LOAD DATA INFILE "/home/paul/clientdata.csv"
INTO TABLE CSVImport
COLUMNS TERMINATED BY ','
OPTIONALLY ENCLOSED BY '"'
ESCAPED BY '"'
LINES TERMINATED BY '\n'
IGNORE 1 LINES;
But still there are lots of completely NULL records, and none of the data that got loaded seems to be in the right place.
Use mysqlimport to load a table into the database:
mysqlimport --ignore-lines=1 \
--fields-terminated-by=, \
--local -u root \
-p Database \
TableName.csv
I found it at http://chriseiffel.com/everything-linux/how-to-import-a-large-csv-file-to-mysql/
To make the delimiter a tab, use --fields-terminated-by='\t'
The core of your problem seems to be matching the columns in the CSV file to those in the table.
Many graphical mySQL clients have very nice import dialogs for this kind of thing.
My favourite for the job is Windows based HeidiSQL. It gives you a graphical interface to build the LOAD DATA command; you can re-use it programmatically later.
Screenshot: "Import textfile" dialog
To open the Import textfile" dialog, go to Tools > Import CSV file:
Simplest way which I have imported 200+ rows is below command in phpmyadmin sql window
I have a simple table of country with two columns
CountryId,CountryName
here is .csv data
here is command:
LOAD DATA INFILE 'c:/country.csv'
INTO TABLE country
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\n'
IGNORE 1 ROWS
Keep one thing in mind, never appear , in second column, otherwise your import will stop
I Used this method to import more than 100K records (~5MB) in 0.046sec
Here's how you do it:
LOAD DATA LOCAL INFILE
'c:/temp/some-file.csv'
INTO TABLE your_awesome_table
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\n'
(field_1,field_2 , field_3);
It is very important to include the last line , if you have more than one field i.e normally it skips the last field (MySQL 5.6.17)
LINES TERMINATED BY '\n'
(field_1,field_2 , field_3);
Then, assuming you have the first row as the title for your fields, you might want to include this line also
IGNORE 1 ROWS
This is what it looks like if your file has a header row.
LOAD DATA LOCAL INFILE
'c:/temp/some-file.csv'
INTO TABLE your_awesome_table
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\n'
IGNORE 1 ROWS
(field_1,field_2 , field_3);
phpMyAdmin can handle CSV import. Here are the steps:
Prepare the CSV file to have the fields in the same order as the MySQL table fields.
Remove the header row from the CSV (if any), so that only the data is in the file.
Go to the phpMyAdmin interface.
Select the table in the left menu.
Click the import button at the top.
Browse to the CSV file.
Select the option "CSV using LOAD DATA".
Enter "," in the "fields terminated by".
Enter the column names in the same order as they are in the database table.
Click the go button and you are done.
This is a note that I prepared for my future use, and sharing here if someone else can benefit.
If you are using MySQL Workbench (currently 6.3 version) you can do this by:
Right click on "Tables";
Chose Table Data Import Wizard;
Chose your csv file and follow the instructions (JSON also could be used);
The good thing is that you can create a new table based on the csv file you want to import or load data to an existing table
You can fix this by listing the columns in you LOAD DATA statement. From the manual:
LOAD DATA INFILE 'persondata.txt' INTO TABLE persondata (col1,col2,...);
...so in your case you need to list the 99 columns in the order in which they appear in the csv file.
Try this, it worked for me
LOAD DATA LOCAL INFILE 'filename.csv' INTO TABLE table_name FIELDS TERMINATED BY ',' ENCLOSED BY '"' IGNORE 1 ROWS;
IGNORE 1 ROWS here ignores the first row which contains the fieldnames. Note that for the filename you must type the absolute path of the file.
I see something strange. You are using for ESCAPING the same character you use for ENCLOSING. So the engine does not know what to do when it founds a '"' and I think that is why nothing seems to be in the right place.
I think that if you remove the line of ESCAPING, should run great. Like:
LOAD DATA INFILE "/home/paul/clientdata.csv"
INTO TABLE CSVImport
COLUMNS TERMINATED BY ','
OPTIONALLY ENCLOSED BY '"'
LINES TERMINATED BY '\n'
IGNORE 1 LINES;
Unless you analyze (manually, visually, ... ) your CSV and find which character uses for escape. Sometimes is '\'. But if you do not have it, do not use it.
The mysql command line is prone to too many problems on import. Here is how you do it:
use excel to edit the header names to have no spaces
save as .csv
use free Navicat Lite Sql Browser to import and auto create a new table (give it a name)
open the new table insert a primary auto number column for ID
change the type of the columns as desired.
done!
Yet another solution is to use csvsql tool from amazing csvkit suite.
Usage example:
csvsql --db mysql://$user:$password#localhost/$database --insert --tables $tablename $file
This tool can automatically infer the data types (default behavior), create table and insert the data into the created table. --overwrite option can be used to drop table if it already exists. --insert option — to populate the table from the file.
To install the suite
pip install csvkit
Prerequisites: python-dev, libmysqlclient-dev, MySQL-python
apt-get install python-dev libmysqlclient-dev
pip install MySQL-python
In case if you using Intellij
https://www.jetbrains.com/datagrip/features/importexport.html
I use mysql workbench to do the same job.
create new schema
open newly created schema
right click on "Tables" and select "Table Data Import Wizard"
give the csv file path and table name and finally configure your column type because the wizard set default column type based on their values.
Note: take a look at mysql workbench's log file for any errors by using "tail -f [mysqlworkbenchpath]/log/wb*.log"
How to import csv files to sql tables
Example file: Overseas_trade_index data CSV File
Steps:
Need to create table for overseas_trade_index.
Need to create columns related to csv file.
SQL Query:
( id int not null primary key auto_increment,
series_reference varchar (60),
period varchar (60),
data_value decimal(60,0),
status varchar (60),
units varchar (60),
magnitude int(60),
subject text(60),
group text(60),
series_title_1 varchar (60),
series_title_2 varchar (60),
series_title_3 varchar (60),
series_title_4 varchar (60),
series_title_5 varchar (60),
);
Need to connect mysql database in terminal.
=>show databases;
=>use database;
=>show tables;
Please enter this command to import the csv data to mysql tables.
load data infile '/home/desktop/Documents/overseas.csv' into table trade_index fields terminated by ',' lines terminated by '\n' (series_reference,period,data_value,status,units,magnitude,subject,series_title1,series_title_2,series_title_3,series_title_4,series_title_5);
Find this overseas trade index data on sqldatabase:
select * from trade_index;
If you are using a windows machine with Excel spreadsheet loaded, the new mySql plugin to Excel is phenomenal. The folks at Oracle really did a nice job on that software. You can make the database connection directly from Excel. That plugin will analyse your data, and set up the tables for you in a format consistent with the data. I had some monster big csv files of data to convert. This tool was a big time saver.
http://dev.mysql.com/downloads/windows/excel/
You can make updates from within Excel that will populate to the database online. This worked exceedingly well with mySql files created on ultra inexpensive GoDaddy shared hosting. (Note when you create the table at GoDaddy, you have to select some off-standard settings to enable off site access of the database...)
With this plugin you have pure interactivity between your XL spreadsheet and online mySql data storage.
I know that my answer is late, but I'd like to mention a few other ways to do it.
The easiest one is using command line. The steps will be the following:
Accessing the MySQL CLI by entering the below command:
mysql -u my_user_name -p
Creating a table in the database
use new_schema;
CREATE TABLE employee_details (
id INTEGER,
employee_name VARCHAR(100),
employee_age INTEGER,
PRIMARY KEY (id)
);
Importing the CSV file into a table. We can either mention the file path or store the file in the default directory of the MySQL server.
LOAD DATA INFILE 'Path to the exported csv file'
INTO TABLE employee_details
FIELDS TERMINATED BY ','
IGNORE 1 ROWS;
It's the only one of many solutions, I found it in this tutorial
If loading CSV files into MySQL database is your daily task, then it'll be better to automate this process. In this case you can use some 3rd-party tools that allows you to load data in schedule.
PHP Query for import csv file to mysql database
$query = <<<EOF
LOAD DATA LOCAL INFILE '$file'
INTO TABLE users
FIELDS TERMINATED BY ','
LINES TERMINATED BY '\n'
IGNORE 1 LINES
(name,mobile,email)
EOF;
if (!$result = mysqli_query($this->db, $query))
{
exit(mysqli_error($this->db));
}
**Sample CSV file data **
name,mobile,email
Christopher Gritton,570-686-3439,ChristopherKGritton#inbound.plus
Brandon Wilson,541-309-5149,BrandonMWilson#inbound.plus
Craig White,516-795-8065,CraigJWhite#inbound.plus
David Whitney,713-214-3966,DavidCWhitney#inbound.plus
Here is sample excel file screen shot:
Save as and choose .csv.
And you will have as shown below .csv data screen shot if you open using notepad++ or any other notepad.
Make sure you remove header and have column alignment in .csv as in mysql Table.
Replace folder_name by your folder name
LOAD DATA LOCAL INFILE
'D:/folder_name/myfilename.csv'
INTO TABLE mail
FIELDS TERMINATED BY ','
(fname,lname ,email, phone);
If big data, you can take coffee and have it load!.
Thats all you need.
Change servername,username, password,dbname,path of your file, tablename and the field which is in your database you want to insert
<?php
$servername = "localhost";
$username = "root";
$password = "";
$dbname = "bd_dashboard";
//For create connection
$conn = new mysqli($servername, $username, $password, $dbname);
$query = "LOAD DATA LOCAL INFILE
'C:/Users/lenovo/Desktop/my_data.csv'
INTO TABLE test_tab
FIELDS TERMINATED BY ','
LINES TERMINATED BY '\n'
IGNORE 1 LINES
(name,mob)";
if (!$result = mysqli_query($conn, $query)){
echo '<script>alert("Oops... Some Error occured.");</script>';
exit();
//exit(mysqli_error());
}else{
echo '<script>alert("Data Inserted Successfully.");</script>'
}
?>
I did it in simple way using phpmyadmin. I followed the steps by #Farhan but all data were eltered in single column.
How I did:
Created a CSV file and deleted the header row with column names. Kept only data.
I created a table with column names matching the csv columns.
Remember to assign appropriate types to each column.
I just selected the import and went to import tab.
In browse I selected the CSV file and kept all options as it is.
To my surprise all the data got imported successfully in their appropriate columns.
When executing MySQL Query to import CSV I was getting error
'Error Code: 1290. The MySQL server is running with the --secure-file-priv option so it cannot execute this statement'
So I moved file to secure file location
LOAD DATA INFILE 'C:/ProgramData/MySQL/MySQL Server 8.0/Uploads/Orders.csv'
INTO TABLE orderdetails.orders
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\n'
IGNORE 1 ROWS
Where location of file is 'C:/ProgramData/MySQL/MySQL Server 8.0/Uploads/Orders.csv' this is because, I moved my CSV file to 'secure_file_priv' location otherwise I was getting above error
You can get your secure_file_priv using query SHOW VARIABLES LIKE "secure_file_priv";
Source: Import CSV file to MySQL (Query or using Workbench)
The UPSERT operation either updates or inserts a row in a table, depending if the table already has a row that matches the data:
if table t has a row exists that has key X:
update t set mystuff... where mykey=X
else
insert into t mystuff...
Since Oracle doesn't have a specific UPSERT statement, what's the best way to do this?
The MERGE statement merges data between two tables. Using DUAL
allows us to use this command. Note that this is not protected against concurrent access.
create or replace
procedure ups(xa number)
as
begin
merge into mergetest m using dual on (a = xa)
when not matched then insert (a,b) values (xa,1)
when matched then update set b = b+1;
end ups;
/
drop table mergetest;
create table mergetest(a number, b number);
call ups(10);
call ups(10);
call ups(20);
select * from mergetest;
A B
---------------------- ----------------------
10 2
20 1
The dual example above which is in PL/SQL was great becuase I wanted to do something similar, but I wanted it client side...so here is the SQL I used to send a similar statement direct from some C#
MERGE INTO Employee USING dual ON ( "id"=2097153 )
WHEN MATCHED THEN UPDATE SET "last"="smith" , "name"="john"
WHEN NOT MATCHED THEN INSERT ("id","last","name")
VALUES ( 2097153,"smith", "john" )
However from a C# perspective this provide to be slower than doing the update and seeing if the rows affected was 0 and doing the insert if it was.
An alternative to MERGE (the "old fashioned way"):
begin
insert into t (mykey, mystuff)
values ('X', 123);
exception
when dup_val_on_index then
update t
set mystuff = 123
where mykey = 'X';
end;
Another alternative without the exception check:
UPDATE tablename
SET val1 = in_val1,
val2 = in_val2
WHERE val3 = in_val3;
IF ( sql%rowcount = 0 )
THEN
INSERT INTO tablename
VALUES (in_val1, in_val2, in_val3);
END IF;
insert if not exists
update:
INSERT INTO mytable (id1, t1)
SELECT 11, 'x1' FROM DUAL
WHERE NOT EXISTS (SELECT id1 FROM mytble WHERE id1 = 11);
UPDATE mytable SET t1 = 'x1' WHERE id1 = 11;
None of the answers given so far is safe in the face of concurrent accesses, as pointed out in Tim Sylvester's comment, and will raise exceptions in case of races. To fix that, the insert/update combo must be wrapped in some kind of loop statement, so that in case of an exception the whole thing is retried.
As an example, here's how Grommit's code can be wrapped in a loop to make it safe when run concurrently:
PROCEDURE MyProc (
...
) IS
BEGIN
LOOP
BEGIN
MERGE INTO Employee USING dual ON ( "id"=2097153 )
WHEN MATCHED THEN UPDATE SET "last"="smith" , "name"="john"
WHEN NOT MATCHED THEN INSERT ("id","last","name")
VALUES ( 2097153,"smith", "john" );
EXIT; -- success? -> exit loop
EXCEPTION
WHEN NO_DATA_FOUND THEN -- the entry was concurrently deleted
NULL; -- exception? -> no op, i.e. continue looping
WHEN DUP_VAL_ON_INDEX THEN -- an entry was concurrently inserted
NULL; -- exception? -> no op, i.e. continue looping
END;
END LOOP;
END;
N.B. In transaction mode SERIALIZABLE, which I don't recommend btw, you might run into
ORA-08177: can't serialize access for this transaction exceptions instead.
I'd like Grommit answer, except it require dupe values. I found solution where it may appear once: http://forums.devshed.com/showpost.php?p=1182653&postcount=2
MERGE INTO KBS.NUFUS_MUHTARLIK B
USING (
SELECT '028-01' CILT, '25' SAYFA, '6' KUTUK, '46603404838' MERNIS_NO
FROM DUAL
) E
ON (B.MERNIS_NO = E.MERNIS_NO)
WHEN MATCHED THEN
UPDATE SET B.CILT = E.CILT, B.SAYFA = E.SAYFA, B.KUTUK = E.KUTUK
WHEN NOT MATCHED THEN
INSERT ( CILT, SAYFA, KUTUK, MERNIS_NO)
VALUES (E.CILT, E.SAYFA, E.KUTUK, E.MERNIS_NO);
I've been using the first code sample for years. Notice notfound rather than count.
UPDATE tablename SET val1 = in_val1, val2 = in_val2
WHERE val3 = in_val3;
IF ( sql%notfound ) THEN
INSERT INTO tablename
VALUES (in_val1, in_val2, in_val3);
END IF;
The code below is the possibly new and improved code
MERGE INTO tablename USING dual ON ( val3 = in_val3 )
WHEN MATCHED THEN UPDATE SET val1 = in_val1, val2 = in_val2
WHEN NOT MATCHED THEN INSERT
VALUES (in_val1, in_val2, in_val3)
In the first example the update does an index lookup. It has to, in order to update the right row. Oracle opens an implicit cursor, and we use it to wrap a corresponding insert so we know that the insert will only happen when the key does not exist. But the insert is an independent command and it has to do a second lookup. I don't know the inner workings of the merge command but since the command is a single unit, Oracle could execute the correct insert or update with a single index lookup.
I think merge is better when you do have some processing to be done that means taking data from some tables and updating a table, possibly inserting or deleting rows. But for the single row case, you may consider the first case since the syntax is more common.
A note regarding the two solutions that suggest:
1) Insert, if exception then update,
or
2) Update, if sql%rowcount = 0 then insert
The question of whether to insert or update first is also application dependent. Are you expecting more inserts or more updates? The one that is most likely to succeed should go first.
If you pick the wrong one you will get a bunch of unnecessary index reads. Not a huge deal but still something to consider.
Try this,
insert into b_building_property (
select
'AREA_IN_COMMON_USE_DOUBLE','Area in Common Use','DOUBLE', null, 9000, 9
from dual
)
minus
(
select * from b_building_property where id = 9
)
;
From http://www.praetoriate.com/oracle_tips_upserts.htm:
"In Oracle9i, an UPSERT can accomplish this task in a single statement:"
INSERT
FIRST WHEN
credit_limit >=100000
THEN INTO
rich_customers
VALUES(cust_id,cust_credit_limit)
INTO customers
ELSE
INTO customers SELECT * FROM new_customers;
I want to insert some 4K rows in the MySql db. I don't want to fire 4k 'insert' queries. Is there any way by which I can fire only one insert query to store those 4k rows in the db.
I searched on internet and everywhere I found that the users are doing bulk insert into the db from a file.
In my case, I have the data in the memory and I don't want to first write that data to a file to do bulk insert. If I do that then I will add delay in the program.
You could write a single insert query that would do several inserts in a single call to the database :
insert into your_table (field1, field2, field3)
values
(value1_1, value1_2, value1_3),
(value2_1, value2_2, value2_3),
(value3_1, value3_2, value3_3)
Here, with the example I've given, this single query would have inserted three rows in the table.
MySQL's LOAD DATA command might be useful to you: http://dev.mysql.com/doc/refman/5.5/en/load-data.html
With reference to Pascal's suggestion unless your command exceeds max_allowed_packet then you should be able to execute this query. In many cases it works best to create few smaller inserts with say 1000 rows in each.
You can execute your statements in batch, some code example can be found here.
Also, setAutoCommit(false), and call conn.commit(); after executeBatch() to minimise the number of commits.
Insert bulk more than 7000000 record in 1 minutes in database(superfast query with calculation)
mysqli_query($cons, '
LOAD DATA LOCAL INFILE "'.$file.'"
INTO TABLE tablename
FIELDS TERMINATED by \',\'
LINES TERMINATED BY \'\n\'
IGNORE 1 LINES
(isbn10,isbn13,price,discount,free_stock,report,report_date)
SET RRP = IF(discount = 0.00,price-price * 45/100,IF(discount = 0.01,price,IF(discount != 0.00,price-price * discount/100,#RRP))),
RRP_nl = RRP * 1.44 + 8,
RRP_bl = RRP * 1.44 + 8,
ID = NULL
')or die(mysqli_error());
$affected = (int) (mysqli_affected_rows($cons))-1;
$log->lwrite('Inventory.CSV to database:'. $affected.' record inserted successfully.');
RRP and RRP_nl and RRP_bl is not in csv but we are calculated that and after insert that.
In mySql you can use load data infile
LOAD DATA INFILE 'C:\MyTextFile'
INTO TABLE myDatabase.MyTable
FIELDS TERMINATED BY ','