Python - Insert 300 variables into SQLite










-1















I am receiving 300 values from heat sensor every minute. These 300 values needs to be inserted, as they are received every minute, into SQLite database.



I have created 302 rows in SQLite database with the first column being S_ID and second column being timestamp. Here, S_ID is being auto-incremented each time a row is added and the default value of timestamp column is the current system time. I have programmed such that I receive 300 heat sensor values every minute, put all 300 values in a list named data and insert data into database. Now, I need to know how I can write executemany statement without writing all 300 column names and ? below.



data = [(300, 2, 4, ..., 5.5)] #these are 300 values that are inserted into a list when received from heat sensor
c.executemany('INSERT INTO heat_table (col3, col4, ..., col302) VALUES (?, ?, ..., ?)', data)









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  • Best practice is to always explicitly list out the columns involved in an insert. While there might be a way to do this without naming columns, it could break if your table structure were ever to change.

    – Tim Biegeleisen
    Nov 11 '18 at 5:01











  • Write code that creates the insert query instead of typing it out by hand.

    – Shawn
    Nov 11 '18 at 5:03












  • Or use a database design that doesn't need 300 columns. Something with one row per sensor per minute?

    – Shawn
    Nov 11 '18 at 5:05












  • Usually you would write one row per sensor value instead of having 300 columns in your database.

    – Klaus D.
    Nov 11 '18 at 5:05











  • What are the actual names of your columns?

    – Tim Biegeleisen
    Nov 11 '18 at 5:11















-1















I am receiving 300 values from heat sensor every minute. These 300 values needs to be inserted, as they are received every minute, into SQLite database.



I have created 302 rows in SQLite database with the first column being S_ID and second column being timestamp. Here, S_ID is being auto-incremented each time a row is added and the default value of timestamp column is the current system time. I have programmed such that I receive 300 heat sensor values every minute, put all 300 values in a list named data and insert data into database. Now, I need to know how I can write executemany statement without writing all 300 column names and ? below.



data = [(300, 2, 4, ..., 5.5)] #these are 300 values that are inserted into a list when received from heat sensor
c.executemany('INSERT INTO heat_table (col3, col4, ..., col302) VALUES (?, ?, ..., ?)', data)









share|improve this question






















  • Best practice is to always explicitly list out the columns involved in an insert. While there might be a way to do this without naming columns, it could break if your table structure were ever to change.

    – Tim Biegeleisen
    Nov 11 '18 at 5:01











  • Write code that creates the insert query instead of typing it out by hand.

    – Shawn
    Nov 11 '18 at 5:03












  • Or use a database design that doesn't need 300 columns. Something with one row per sensor per minute?

    – Shawn
    Nov 11 '18 at 5:05












  • Usually you would write one row per sensor value instead of having 300 columns in your database.

    – Klaus D.
    Nov 11 '18 at 5:05











  • What are the actual names of your columns?

    – Tim Biegeleisen
    Nov 11 '18 at 5:11













-1












-1








-1








I am receiving 300 values from heat sensor every minute. These 300 values needs to be inserted, as they are received every minute, into SQLite database.



I have created 302 rows in SQLite database with the first column being S_ID and second column being timestamp. Here, S_ID is being auto-incremented each time a row is added and the default value of timestamp column is the current system time. I have programmed such that I receive 300 heat sensor values every minute, put all 300 values in a list named data and insert data into database. Now, I need to know how I can write executemany statement without writing all 300 column names and ? below.



data = [(300, 2, 4, ..., 5.5)] #these are 300 values that are inserted into a list when received from heat sensor
c.executemany('INSERT INTO heat_table (col3, col4, ..., col302) VALUES (?, ?, ..., ?)', data)









share|improve this question














I am receiving 300 values from heat sensor every minute. These 300 values needs to be inserted, as they are received every minute, into SQLite database.



I have created 302 rows in SQLite database with the first column being S_ID and second column being timestamp. Here, S_ID is being auto-incremented each time a row is added and the default value of timestamp column is the current system time. I have programmed such that I receive 300 heat sensor values every minute, put all 300 values in a list named data and insert data into database. Now, I need to know how I can write executemany statement without writing all 300 column names and ? below.



data = [(300, 2, 4, ..., 5.5)] #these are 300 values that are inserted into a list when received from heat sensor
c.executemany('INSERT INTO heat_table (col3, col4, ..., col302) VALUES (?, ?, ..., ?)', data)






python database sqlite insert bulkinsert






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asked Nov 11 '18 at 4:57









MinoMino

31




31












  • Best practice is to always explicitly list out the columns involved in an insert. While there might be a way to do this without naming columns, it could break if your table structure were ever to change.

    – Tim Biegeleisen
    Nov 11 '18 at 5:01











  • Write code that creates the insert query instead of typing it out by hand.

    – Shawn
    Nov 11 '18 at 5:03












  • Or use a database design that doesn't need 300 columns. Something with one row per sensor per minute?

    – Shawn
    Nov 11 '18 at 5:05












  • Usually you would write one row per sensor value instead of having 300 columns in your database.

    – Klaus D.
    Nov 11 '18 at 5:05











  • What are the actual names of your columns?

    – Tim Biegeleisen
    Nov 11 '18 at 5:11

















  • Best practice is to always explicitly list out the columns involved in an insert. While there might be a way to do this without naming columns, it could break if your table structure were ever to change.

    – Tim Biegeleisen
    Nov 11 '18 at 5:01











  • Write code that creates the insert query instead of typing it out by hand.

    – Shawn
    Nov 11 '18 at 5:03












  • Or use a database design that doesn't need 300 columns. Something with one row per sensor per minute?

    – Shawn
    Nov 11 '18 at 5:05












  • Usually you would write one row per sensor value instead of having 300 columns in your database.

    – Klaus D.
    Nov 11 '18 at 5:05











  • What are the actual names of your columns?

    – Tim Biegeleisen
    Nov 11 '18 at 5:11
















Best practice is to always explicitly list out the columns involved in an insert. While there might be a way to do this without naming columns, it could break if your table structure were ever to change.

– Tim Biegeleisen
Nov 11 '18 at 5:01





Best practice is to always explicitly list out the columns involved in an insert. While there might be a way to do this without naming columns, it could break if your table structure were ever to change.

– Tim Biegeleisen
Nov 11 '18 at 5:01













Write code that creates the insert query instead of typing it out by hand.

– Shawn
Nov 11 '18 at 5:03






Write code that creates the insert query instead of typing it out by hand.

– Shawn
Nov 11 '18 at 5:03














Or use a database design that doesn't need 300 columns. Something with one row per sensor per minute?

– Shawn
Nov 11 '18 at 5:05






Or use a database design that doesn't need 300 columns. Something with one row per sensor per minute?

– Shawn
Nov 11 '18 at 5:05














Usually you would write one row per sensor value instead of having 300 columns in your database.

– Klaus D.
Nov 11 '18 at 5:05





Usually you would write one row per sensor value instead of having 300 columns in your database.

– Klaus D.
Nov 11 '18 at 5:05













What are the actual names of your columns?

– Tim Biegeleisen
Nov 11 '18 at 5:11





What are the actual names of your columns?

– Tim Biegeleisen
Nov 11 '18 at 5:11












1 Answer
1






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oldest

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I'd create these names with list comprehensions and then join them:



query = ('INSERT INTO heat_table (' +
', '.join('col%d' % i for i in range(3, len(data) + 3)) +
') VALUES (' +
', '.join('?' * len(data)) +
')')





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    1 Answer
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    1 Answer
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    active

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    active

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    0














    I'd create these names with list comprehensions and then join them:



    query = ('INSERT INTO heat_table (' +
    ', '.join('col%d' % i for i in range(3, len(data) + 3)) +
    ') VALUES (' +
    ', '.join('?' * len(data)) +
    ')')





    share|improve this answer



























      0














      I'd create these names with list comprehensions and then join them:



      query = ('INSERT INTO heat_table (' +
      ', '.join('col%d' % i for i in range(3, len(data) + 3)) +
      ') VALUES (' +
      ', '.join('?' * len(data)) +
      ')')





      share|improve this answer

























        0












        0








        0







        I'd create these names with list comprehensions and then join them:



        query = ('INSERT INTO heat_table (' +
        ', '.join('col%d' % i for i in range(3, len(data) + 3)) +
        ') VALUES (' +
        ', '.join('?' * len(data)) +
        ')')





        share|improve this answer













        I'd create these names with list comprehensions and then join them:



        query = ('INSERT INTO heat_table (' +
        ', '.join('col%d' % i for i in range(3, len(data) + 3)) +
        ') VALUES (' +
        ', '.join('?' * len(data)) +
        ')')






        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Nov 11 '18 at 5:10









        MureinikMureinik

        181k22131200




        181k22131200



























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