How to construct a list as (key,value) pairs with PyMySQL and Python?












1














I have the following code:



connection = pymysql.connect(...)
try:
with connection.cursor() as cursor:
sql = "select cola,colb from ...."
result = cursor.fetchall()
How to build a list from the result?
finally:
connection.close()


The query returns data as:



cola   colb
-----------
123 abc
124 abd
140 ghf


cola is the key



colb is the value



I know it should be something like:



list = 
for i in range (0, ????):
cola_value = result[0][i].get('cola')
colb_value = result[1][i].get('colb')
list.append((cola_value, colb_value))


I'm wondering what is the correct syntax and if this is the correct approach?
I want to be able to search the list by key and access the value by key.



I'll need 2-3 lists each one with around 900000 (key,value) pairs.
Is it smart to manage it in memory or better to write it to file and process it on disk?










share|improve this question



























    1














    I have the following code:



    connection = pymysql.connect(...)
    try:
    with connection.cursor() as cursor:
    sql = "select cola,colb from ...."
    result = cursor.fetchall()
    How to build a list from the result?
    finally:
    connection.close()


    The query returns data as:



    cola   colb
    -----------
    123 abc
    124 abd
    140 ghf


    cola is the key



    colb is the value



    I know it should be something like:



    list = 
    for i in range (0, ????):
    cola_value = result[0][i].get('cola')
    colb_value = result[1][i].get('colb')
    list.append((cola_value, colb_value))


    I'm wondering what is the correct syntax and if this is the correct approach?
    I want to be able to search the list by key and access the value by key.



    I'll need 2-3 lists each one with around 900000 (key,value) pairs.
    Is it smart to manage it in memory or better to write it to file and process it on disk?










    share|improve this question

























      1












      1








      1







      I have the following code:



      connection = pymysql.connect(...)
      try:
      with connection.cursor() as cursor:
      sql = "select cola,colb from ...."
      result = cursor.fetchall()
      How to build a list from the result?
      finally:
      connection.close()


      The query returns data as:



      cola   colb
      -----------
      123 abc
      124 abd
      140 ghf


      cola is the key



      colb is the value



      I know it should be something like:



      list = 
      for i in range (0, ????):
      cola_value = result[0][i].get('cola')
      colb_value = result[1][i].get('colb')
      list.append((cola_value, colb_value))


      I'm wondering what is the correct syntax and if this is the correct approach?
      I want to be able to search the list by key and access the value by key.



      I'll need 2-3 lists each one with around 900000 (key,value) pairs.
      Is it smart to manage it in memory or better to write it to file and process it on disk?










      share|improve this question













      I have the following code:



      connection = pymysql.connect(...)
      try:
      with connection.cursor() as cursor:
      sql = "select cola,colb from ...."
      result = cursor.fetchall()
      How to build a list from the result?
      finally:
      connection.close()


      The query returns data as:



      cola   colb
      -----------
      123 abc
      124 abd
      140 ghf


      cola is the key



      colb is the value



      I know it should be something like:



      list = 
      for i in range (0, ????):
      cola_value = result[0][i].get('cola')
      colb_value = result[1][i].get('colb')
      list.append((cola_value, colb_value))


      I'm wondering what is the correct syntax and if this is the correct approach?
      I want to be able to search the list by key and access the value by key.



      I'll need 2-3 lists each one with around 900000 (key,value) pairs.
      Is it smart to manage it in memory or better to write it to file and process it on disk?







      python pymysql






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 12 '18 at 13:10









      Luis

      949




      949
























          1 Answer
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          0














          I did not try this, but you should be able to use a list comprehension:



          list = [(r['cola'], r['colb']) for r in result]


          If you plan to do lookups by key, using a dictionary would be even better:



          map = {r['cola']: r['colb'] for r in result}


          Then if you want to find the value corresponding with they key 123:



          value = map[123]


          Regarding whether or not it makes sense to hold 900,000 pairs depends on your hardware resources - there are probably more memory efficient ways to do it, but you might need to install some additional dependencies.






          share|improve this answer





















          • just edited your answer to .get('cola')
            – Luis
            Nov 12 '18 at 13:51











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          1 Answer
          1






          active

          oldest

          votes








          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          0














          I did not try this, but you should be able to use a list comprehension:



          list = [(r['cola'], r['colb']) for r in result]


          If you plan to do lookups by key, using a dictionary would be even better:



          map = {r['cola']: r['colb'] for r in result}


          Then if you want to find the value corresponding with they key 123:



          value = map[123]


          Regarding whether or not it makes sense to hold 900,000 pairs depends on your hardware resources - there are probably more memory efficient ways to do it, but you might need to install some additional dependencies.






          share|improve this answer





















          • just edited your answer to .get('cola')
            – Luis
            Nov 12 '18 at 13:51
















          0














          I did not try this, but you should be able to use a list comprehension:



          list = [(r['cola'], r['colb']) for r in result]


          If you plan to do lookups by key, using a dictionary would be even better:



          map = {r['cola']: r['colb'] for r in result}


          Then if you want to find the value corresponding with they key 123:



          value = map[123]


          Regarding whether or not it makes sense to hold 900,000 pairs depends on your hardware resources - there are probably more memory efficient ways to do it, but you might need to install some additional dependencies.






          share|improve this answer





















          • just edited your answer to .get('cola')
            – Luis
            Nov 12 '18 at 13:51














          0












          0








          0






          I did not try this, but you should be able to use a list comprehension:



          list = [(r['cola'], r['colb']) for r in result]


          If you plan to do lookups by key, using a dictionary would be even better:



          map = {r['cola']: r['colb'] for r in result}


          Then if you want to find the value corresponding with they key 123:



          value = map[123]


          Regarding whether or not it makes sense to hold 900,000 pairs depends on your hardware resources - there are probably more memory efficient ways to do it, but you might need to install some additional dependencies.






          share|improve this answer












          I did not try this, but you should be able to use a list comprehension:



          list = [(r['cola'], r['colb']) for r in result]


          If you plan to do lookups by key, using a dictionary would be even better:



          map = {r['cola']: r['colb'] for r in result}


          Then if you want to find the value corresponding with they key 123:



          value = map[123]


          Regarding whether or not it makes sense to hold 900,000 pairs depends on your hardware resources - there are probably more memory efficient ways to do it, but you might need to install some additional dependencies.







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Nov 12 '18 at 13:30









          shevron

          1,7191323




          1,7191323












          • just edited your answer to .get('cola')
            – Luis
            Nov 12 '18 at 13:51


















          • just edited your answer to .get('cola')
            – Luis
            Nov 12 '18 at 13:51
















          just edited your answer to .get('cola')
          – Luis
          Nov 12 '18 at 13:51




          just edited your answer to .get('cola')
          – Luis
          Nov 12 '18 at 13:51


















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