I have a csv file that has a list of stores. For every Store there are 10 departments.
I will need to make a GET API call for all the 10 departments in 100 stores. So my columns in CSV file are not eve. I will have column A with 100 store IDs, and column B with 10 department IDs.
How can I use every Store ID 10 times (once with every department ID) in Jmeter sampler?
If you want to achieve this using CSV Data Set Config - the only way is splitting your CSV file into 2 separate files
If the CSV file comes from external source and cannot be changed - you can consider using __groovy() function like:
${__groovy(new File('test.csv').readLines().get(vars.get('__jm__Loop Controller - Store__idx') as int).split('\,')[0],)}
Given example CSV file test.csv with the following contents:
store1,department1
store2,department2
,department3
,department4
,department5
,department6
,department7
,department8
,department9
,department10
You can achieve your requirement using below approach:
More information on Groovy scripting in JMeter: Apache Groovy - Why and How You Should Use It
I am inserting data from a CSV file to a MySQL database, and one of the columns should contain the SOUNDEX representation of a string.
For example, I have the first name as a column in the CSV and the database should contain its SOUNDEX.
I am using tMap between the file delimited and MySQL output, so the operation should be there. Something like SOUNDEX(row1.FIRST_NAME).
Details: Talend Open Studio, MySQL database
You can use Apache Commons Codec to do this. First load the library using tLibraryLoad:
Then use:
new org.apache.commons.codec.language.Soundex().encode("<string>")
I want to create a separate notes file for each user.
The notes files are kept in a network file system(or the server).
Suppose I have a table employee_info
empid empname pathtofile
50 John \\[filepathfromnetworkfilesystem]\50.txt
51 Max \\[filepathfromnNFS]\51.txt
Which datatype will the 'pathtofile' column be?
I checked BLOB and CLOB, but they store binary, so not sure those are appropriate datatypes here.
And any sample code, how can I access this column from java code to retrieve the contents of the file?
Any help would be appreciated.
I have a requirement to read the value form a PDF file and save the result in a db.
I have converted Pdf to text .
Now the text data looks like this:
Test Name Results Units Bio. Ref. Interval
LIPID PROFILE, BASIC, SERUM
Cholesterol Total 166.00 mg/dL <200.00
Triglycerides 118.00 mg/dL <150.00
My requirement is to read the table data from the Pdf file and save in the MySQL database as it is.
use java io to read the text file and jdbc to safe the information in the mysql via sql.
Is there a open source file based (NOT in-memory based) JDBC driver for CSV files? My CSV are dynamically generated from the UI according to the user selections and each user will have a different CSV file. I'm doing this to reduce database hits, since the information is contained in the CSV file. I only need to perform SELECT operations.
HSQLDB allows for indexed searches if we specify an index, but I won't be able to provide an unique column that can be used as an index, hence it does SQL operations in memory.
Edit:
I've tried CSVJDBC but that doesn't support simple operations like order by and group by. It is still unclear whether it reads from file or loads into memory.
I've tried xlSQL, but that again relies on HSQLDB and only works with Excel and not CSV. Plus its not in development or support anymore.
H2, but that only reads CSV. Doesn't support SQL.
You can solve this problem using the H2 database.
The following groovy script demonstrates:
Loading data into the database
Running a "GROUP BY" and "ORDER BY" sql query
Note: H2 supports in-memory databases, so you have the choice of persisting the data or not.
// Create the database
def sql = Sql.newInstance("jdbc:h2:db/csv", "user", "pass", "org.h2.Driver")
// Load CSV file
sql.execute("CREATE TABLE data (id INT PRIMARY KEY, message VARCHAR(255), score INT) AS SELECT * FROM CSVREAD('data.csv')")
// Print results
def result = sql.firstRow("SELECT message, score, count(*) FROM data GROUP BY message, score ORDER BY score")
assert result[0] == "hello world"
assert result[1] == 0
assert result[2] == 5
// Cleanup
sql.close()
Sample CSV data:
0,hello world,0
1,hello world,1
2,hello world,0
3,hello world,1
4,hello world,0
5,hello world,1
6,hello world,0
7,hello world,1
8,hello world,0
9,hello world,1
10,hello world,0
If you check the sourceforge project csvjdbc please report your expierences. the documentation says it is useful for importing CSV files.
Project page
This was discussed on Superuser https://superuser.com/questions/7169/querying-a-csv-file.
You can use the Text Tables feature of hsqldb: http://hsqldb.org/doc/2.0/guide/texttables-chapt.html
csvsql/gcsvsql are also possible solutions (but there is no JDBC driver, you will have to run a command line program for your query).
sqlite is another solution but you have to import the CSV file into a database before you can query it.
Alternatively, there is commercial software such as http://www.csv-jdbc.com/ which will do what you want.
To do anything with a file you have to load it into memory at some point. What you could do is just open the file and read it line by line, discarding the previous line as you read in a new one. Only downside to this approach is its linearity. Have you thought about using something like memcache on a server where you use Key-Value stores in memory you can query instead of dumping to a CSV file?
You can use either specialized JDBC driver, like CsvJdbc (http://csvjdbc.sourceforge.net) or you may chose to configure a database engine such as mySQL to treat your CSV as a table and then manipulate your CSV through standard JDBC driver.
The trade-off here - available SQL features vs performance.
Direct access to CSV via CsvJdbc (or similar) will allow you very quick operations on big data volumes, but without capabilities to sort or group records using SQL commands ;
mySQL CSV engine can provide rich set of SQL features, but with the cost of performance.
So if the size of your table is relatively small - go with mySQL. However if you need to process big files (> 100Mb) without need for grouping or sorting - go with CsvJdbc.
If you need both - handle very bif files and be able to manipulate them using SQL, then optimal course of action - to load the CSV into normal database table (e.g. mySQL) first and then handle the data as usual SQL table.