I have an hashes table with 2 columns, hash | plain
And a text file looking like that:
acbd18db4cc2f85cedef654fccc4a4d8:foo
37b51d194a7513e45b56f6524f2d51f2:bar
4e99e8c12de7e01535248d2bac85e732:foo:bar
I'm trying to execute this query:
LOAD DATA LOCAL INFILE 'file.txt' INTO TABLE hashes COLUMNS TERMINATED BY ':' LINES TERMINATED BY '\n'
The issue is, for the hash 4e99e8c12de7e01535248d2bac85e732, it will only insert foo, not foo:bar, because of COLUMNS TERMINATED BY ':'.
How can I make it "only split once" to fix this issue?
You could load into a user variable and use a bit of string maniplulation.
drop table if exists t;
create table t
(hash varchar(100),plain varchar(100));
LOAD DATA INFILE 'file.txt'
INTO TABLE t
LINES TERMINATED BY '\r\n'
(#var)
set
hash = substring_index(#var,':',1),
plain = replace(#var,substring_index(#var,':',1),'')
;
select *
from t;
+--------+----------+
| hash | plain |
+--------+----------+
| abc | :def |
| abc | :ghi |
| abc | :def:ghi |
+--------+----------+
3 rows in set (0.001 sec)
Note I have used \r\n to load this properly - you should test for your environment
It is my test-tab.csv as below.
\data\ hello
Notice:there is a \t between \ and h in test-tab.csv，that is to say ,showing in vim(set list).
\data\^Ihello$
Prepare for loading data.
create table tab(`f1` varchar(10),`f2` varchar(10));
Load the data into table tab.
LOAD DATA LOCAL INFILE "f:/test-tab.csv"
INTO TABLE tab
FIELDS TERMINATED BY '\t'
LINES TERMINATED BY '\r\n' \W;
And have a look.
select * from tab;
+------------+------+
| f1 | f2 |
+------------+------+
| data hello| NULL |
+------------+------+
1 row in set (0.000 sec)
How can i load data into table tab as below.
select * from tab;
+------------+------+
| f1 | f2 |
+------------+------+
| \data\ | hello|
+------------+------+
1 row in set (0.000 sec)
Constraint condition：keep the data format in test-tab.csv unchanged.
The problem seems to be escaping the tab.
FIELDS TERMINATED BY '\t' ESCAPED BY ''
If that does not work, is there some character that is not used in the data? Say |? Then
FIELDS TERMINATED BY '\t' ESCAPED BY '|'
LOAD DATA LOCAL INFILE "f:/test-tab.csv"
INTO TABLE tab
FIELDS TERMINATED BY '\t' ESCAPED BY ''
LINES TERMINATED BY '\n' \W;
1.add ESCAPED BY ''
2.LINES TERMINATED BY '\n'
The csv file was created in linux,i load it in my win-os.
I am trying to load data from a .CSV file into a MySQL database using the following command.
LOAD DATA LOCAL INFILE "FILEPATH/EQUIPMENT.CSV"
INTO TABLE EQUIPMENT
FIELDS TERMINATED BY ',' ENCLOSED BY '"'
LINES TERMINATED BY '\R\N'
IGNORE 1 LINES;
However the following error is returned by MySQL when attempting to load information into the database:
Error Code: 1292. Incorrect date value: '0000-00-00' for column 'END_OF_LIFE' at row 1
This error doesn't make any sense. There as the value '0000-00-00' is not specified in row one for the data set. See example data set below.
+---------------+-------------+
| EQUIPMENT_ID | END_OF_LIFE |
+---------------+-------------+
| B1010-V003 | 1800-01-01 |
| B1010-V001 | 1800-01-01 |
| B1010-V005 | 1800-01-01 |
+---------------+-------------+
Any one know why the system may be returning this error? (I have tried changing the dates to more reasonable values but this does not work either).
try this:
/usr/bin/mysql --local-infile=1 -u$DB_user -p$DB_pw --database=$DB_database < $working_dir/load_ic2_loc_batch.sh 2>> $logfile
I actually figured out what was wrong. It was due to the line endings being incorrectly specified as capitals in my script (I guess the MS DOS line endings in the input CSV file are case sensitive). See corrected script below.
LOAD DATA LOCAL INFILE "FILEPATH/EQUIPMENT.CSV"
INTO TABLE EQUIPMENT
FIELDS TERMINATED BY ',' ENCLOSED BY '"'
LINES TERMINATED BY '\r\n'
IGNORE 1 LINES;
I have a SQL table similar to the following:
id | text | other_columns...
----------------------------
0 | a | ...
1 | b | ...
2 | c | ...
I need to apply some complex operation to the values in the text column, and then update the fields with the new values.
// Get all the current values.
entries = SELECT id,text FROM foo_table;
// Apply some complex operation to the text values (this part is Python, not SQL).
foreach entry in entries
entry.text = f(entry.text)
// Update the text fields (1 UPDATE per entry).
foreach entry in entries
UPDATE foo_table SET text=entry.text WHERE id=entry.id;
This results in a table like this, with updated text values:
id | text | other_columns...
----------------------------
0 | x | ...
1 | y | ...
2 | z | ...
It takes ~1 ms per UPDATE, and I have ~.5 million entries which results in ~8 minutes of execution. I am batching the SQL commands (1000 at a time), but this still seems very slow/inefficient.
Is there a better (faster) way to do this? Thanks.
Export to txtfile with 2 columns thru OUTFILE export.
SELECT id, theText
INTO OUTFILE '/path/to/file.csv'
FIELDS TERMINATED BY ',' OPTIONALLY ENCLOSED BY '"'
LINES TERMINATED BY '\n'
FROM myTable
Have Py do an in out of it.
Can have 2 columns or 3. Let's say 3 for debugging purposes.
Now u have the out. Bring back into mysql with an INFILE into a worktable with id,newText.
LOAD DATA INFILE 'data.txt' INTO TABLE worktable
FIELDS TERMINATED BY ',' ENCLOSED BY '"'
LINES TERMINATED BY '\r\n';
https://dev.mysql.com/doc/refman/5.1/en/load-data.html
Note that the data to import can have row1 with column names. Row1 can be skipped for data import of course, but by naming columns you bring in only certain columns. In your case 2 out of 3 columns.
Add index on worktable.id AFTER import.
Update will be fast.
UPDATE myTable
JOIN worktable
ON worktable.id=myTable.id
SET myTable.text=worktable.newText
This entire thing can occur in an enclosed bash script. If not sure how please ask.
I might be missing something big here, but why can't you just do
Update foo_table;
Set foo_table.text = f(foo_table.text)
You could use a UDF but you have to rewrite your function in C.
I have a 350MB file named text_file.txt containing this tab delimited data:
345868230 1646198120 1531283146 Keyword_1531283146 1.55 252910000
745345566 1646198120 1539847239 another_1531276364 2.75 987831000
...
MySQL Database name: Xml_Date
Database table: PerformanceReport
I have already created the table with all the destination fields.
I want to import this text file data into a MySQL. I googled and found some commands like LOAD DATA INFILE and quite confused on how to use it.
How can I import this text file data?
It should be as simple as...
LOAD DATA INFILE '/tmp/mydata.txt' INTO TABLE PerformanceReport;
By default LOAD DATA INFILE uses tab delimited, one row per line, so should take it in just fine.
Walkthrough on using MySQL's LOAD DATA command:
Create your table:
CREATE TABLE foo(myid INT, mymessage VARCHAR(255), mydecimal DECIMAL(8,4));
Create your tab delimited file (note there are tabs between the columns):
1 Heart disease kills 1.2
2 one out of every two 2.3
3 people in America. 4.5
Use the load data command:
LOAD DATA LOCAL INFILE '/tmp/foo.txt'
INTO TABLE foo COLUMNS TERMINATED BY '\t';
If you get a warning that this command can't be run, then you have to enable the --local-infile=1 parameter described here: How can I correct MySQL Load Error
The rows get inserted:
Query OK, 3 rows affected (0.00 sec)
Records: 3 Deleted: 0 Skipped: 0 Warnings: 0
Check if it worked:
mysql> select * from foo;
+------+----------------------+-----------+
| myid | mymessage | mydecimal |
+------+----------------------+-----------+
| 1 | Heart disease kills | 1.2000 |
| 2 | one out of every two | 2.3000 |
| 3 | people in America. | 4.5000 |
+------+----------------------+-----------+
3 rows in set (0.00 sec)
How to specify which columns to load your text file columns into:
Like this:
LOAD DATA LOCAL INFILE '/tmp/foo.txt' INTO TABLE foo
FIELDS TERMINATED BY '\t' LINES TERMINATED BY '\n'
(#col1,#col2,#col3) set myid=#col1,mydecimal=#col3;
The file contents get put into variables #col1, #col2, #col3. myid gets column 1, and mydecimal gets column 3. If this were run, it would omit the second row:
mysql> select * from foo;
+------+-----------+-----------+
| myid | mymessage | mydecimal |
+------+-----------+-----------+
| 1 | NULL | 1.2000 |
| 2 | NULL | 2.3000 |
| 3 | NULL | 4.5000 |
+------+-----------+-----------+
3 rows in set (0.00 sec)
If your table is separated by others than tabs, you should specify it like...
LOAD DATA LOCAL
INFILE '/tmp/mydata.txt' INTO TABLE PerformanceReport
COLUMNS TERMINATED BY '\t' ## This should be your delimiter
OPTIONALLY ENCLOSED BY '"'; ## ...and if text is enclosed, specify here
The LOAD DATA INFILE statement reads rows from a text file into a table at a very high speed.
LOAD DATA INFILE '/tmp/test.txt'
INTO TABLE test
FIELDS TERMINATED BY ','
LINES STARTING BY 'xxx';
If the data file looks like this:
xxx"abc",1
something xxx"def",2
"ghi",3
The resulting rows will be ("abc",1) and ("def",2). The third row in the file is skipped because it does not contain the prefix.
LOAD DATA INFILE 'data.txt'
INTO TABLE tbl_name
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\r\n'
You can also load data files by using the mysqlimport utility; it operates by sending a LOAD DATA INFILE statement to the server
mysqlimport -u root -ptmppassword --local test employee.txt
test.employee: Records: 3 Deleted: 0 Skipped: 0 Warnings: 0
You should set the option:
local-infile=1
into your [mysql] entry of my.cnf file or call mysql client with the --local-infile option:
mysql --local-infile -uroot -pyourpwd yourdbname
You have to be sure that the same parameter is defined into your [mysqld] section too to enable the "local infile" feature server side.
It's a security restriction.
LOAD DATA LOCAL INFILE '/softwares/data/data.csv' INTO TABLE tableName;
LOAD DATA INFILE '/home/userlap/data2/worldcitiespop.txt' INTO TABLE cc FIELDS TERMINATED BY ','LINES TERMINATED BY '\r \n' IGNORE 1 LINES;
IGNORE 1 LINES to skip over an initial header line containing column names
FIELDS TERMINATED BY ',' is to read the comma-delimited file
If you have generated the text file on a Windows system, you might have to use LINES TERMINATED BY '\r\n' to read the file properly, because Windows programs typically use two characters as a line terminator. Some programs, such as WordPad, might use \r as a line terminator when writing files. To read such files, use LINES TERMINATED BY '\r'.
For me just adding the "LOCAL" Keyword did the trick, please see the attached image for easier solution.
My attached image contains both use cases:
(a) Where I was getting this error.
(b) Where error was resolved by just adding "Local" keyword.
Make Sure your Local-Infile variable is set to True (ON)
mysql> show global variables like 'local_infile';
+---------------+-------+
| Variable_name | Value |
+---------------+-------+
| local_infile | OFF |
+---------------+-------+
1 row in set (0.04 sec)
mysql> set global local_infile=true;
Query OK, 0 rows affected (0.01 sec)
Find the correct path to store the txt files for loading in SQL tables
mysql> SELECT ##GLOBAL.secure_file_priv;
+------------------------------------------------+
| ##GLOBAL.secure_file_priv |
+------------------------------------------------+
| C:\ProgramData\MySQL\MySQL Server 8.0\Uploads\ |
+------------------------------------------------+
1 row in set (0.00 sec)
Load using data infile from the path (Use backward slashes in path)
mysql> load data infile 'C:/ProgramData/MySQL/MySQL Server
8.0/Uploads/text_file.txt' into table TABLE_NAME fields terminated by '\t' lines terminated by '\n';
1. if it's tab delimited txt file:
LOAD DATA LOCAL INFILE 'D:/MySQL/event.txt' INTO TABLE event
LINES TERMINATED BY '\r\n';
2. otherwise:
LOAD DATA LOCAL INFILE 'D:/MySQL/event.txt' INTO TABLE event
FIELDS TERMINATED BY 'x' (here x could be comma ',', tab '\t', semicolon ';', space ' ')
LINES TERMINATED BY '\r\n';