CODEWITHSUNDEEP
pythonmultithreading
Ravi
Ravi

Reputation: 1273

Threads in python

I am beginar in python script. I want read msaccess database records and write into XML file. Access database table have more than 20000 records.

Now i am able to do but , it is taking 4 to 5 minutes. So i implement threading concept. But threading also taking more than 5 to 6 minutes. Because each thread open datasource reading records from tables and close datasource.

I don't know how to solve the problems.

CODE:

class ConfigDataHandler(Thread):

  def __init__(self, dev):
    Thread.__init__(self)
    self.dev = dev

  def run(self):    
    db_source_path = r'D:\sampleDB.mdb'
    db_source = win32com.client.Dispatch(r'ADODB.Connection')
    db_source.ConnectionString = 'PROVIDER=Microsoft.Jet.OLEDB.4.0;
                                 DATA SOURCE=' +   db_source_path + ';'
    db_source.Open()

    query = """ SELECT * from table"""
    source_rs = win32com.client.Dispatch(r'ADODB.Recordset')
    source_rs.Open(query, db_source, 3, 1)

    while not source_rs.EOF :
        f_units.append(source_rs.fields("Name").Value))
        source_rs.MoveNext()
    source_rs.Close()
    db_source.Close() 

    out =  render(f_units)
    open("D:/test.xml", "w").write(out)

d_list = get_dev_list()
for d in d_list:       
  current = ConfigDataHandler(d)
  current.start()

Upvotes: 0

Views: 418

Answers (2)

S.Lott
S.Lott

Reputation: 392010

  1. Undo the threading stuff.

  2. Run the profiler on the original unthreaded code.

  3. Replace the AODB business with ordinary ODBC.

  4. Run the new code through the profiler.

  5. Post your results for further discussion.

Upvotes: 0

teambob
teambob

Reputation: 2084

As mentioned please paste your code snippet. First - threads have a synchronisation overhead which is causing multi-threads to run slower.

Second - the msaccess/JET database is very slow and not really suited to multi-threaded use. You might like to consider SQL Server instead - SQL Server Express is free.

Third - it is probably the database slowing down the processing. What indexes do you have? What queries are you making? What does "explain" say?

Upvotes: 5

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