IndexError: tuple index out of range connecting Python to PostgreSQL - python
I know this question has been asked a number of times, but i am stuck here unable to proceed further. I am executing a for loop in python to load data to fact table.
I am executing the below code
for index, row in df.iterrows():
# get songid and artistid from song and artist tables
cur.execute(song_select, (row.song, row.artist, row.length))
results = cur.fetchone()
if results:
song_id, artist_id = results
else:
song_id, artist_id = None, None
# insert songplay record
songplay_data = (pd.to_datetime(row.ts, unit='ms'),row.userId,row.level,song_id,artist_id,row.sessionId,row.location,row.userAgent)
cur.execute(songplay_table_insert, songplay_data)
conn.commit()
and getting the error
<ipython-input-22-b8b0e27022de> in <module>()
13
14 songplay_data = (pd.to_datetime(row.ts, unit='ms'),row.userId,row.level,song_id,artist_id,row.sessionId,row.location,row.userAgent)
15 cur.execute(songplay_table_insert, songplay_data)
16 conn.commit()
IndexError: tuple index out of range
My table i am trying to insert is
songplay_table_insert = ("""INSERT INTO songplays (songplay_id, start_time,
user_id, level, song_id, artist_id, session_id, location, user_agent )
VALUES(%s, %s, %s, %s, %s, %s, %s, %s, %s)
I am really stuck, any help appreciated.
You have one too many %s markers.
VALUES(%s, %s, %s, %s, %s, %s, %s, %s, %s)
has 9 markers, while
songplay_data = (pd.to_datetime(row.ts, unit='ms'),row.userId,row.level,song_id,artist_id,row.sessionId,row.location,row.userAgent)
has 8 elements. When it tries to evaluate the last marker, it looks for the 9th element, i.e. songplay_data[8], and that raises the error.
You will also need to remove songplay_id from the SQL to make the INSERT statement valid. The database should be generating the primary key for you if you don't have a value to provide, if not we should take a look at your table definition.
Related
Python - Multiline SQL with List - Not all parameters were used in the SQL statement
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psycopg2 - Inserting multiple rows that have multiple columns faster
I'm trying to insert multiple rows into my database, and currently I do not know a way to insert them all at the same time or any other method which will help save time (sequentially it takes about ~30s for around 300 rows). My 'rows' are are tuples in a list of tuples (converted into tuple of tuples), e.g. [(col0, col1, col2), (col0, col1, col2), (.., .., ..), ..] def commit(self, tuple): cursor = self.conn.cursor() for tup in tuple: try: sql = """insert into "SSENSE_Output" ("productID", "brand", "categoryID", "productName", "price", "sizeInfo", "SKU", "URL", "dateInserted", "dateUpdated") values (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s)""" cursor.execute(sql, tup) self.conn.commit() except psycopg2.IntegrityError: self.conn.rollback() sql = 'insert into "SSENSE_Output" ' \ '("productID", "brand", "categoryID", "productName", "price", "sizeInfo", "SKU", "URL", "dateInserted", "dateUpdated")' \ 'values (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s) on conflict ("productID") do update set "dateUpdated" = EXCLUDED."dateUpdated"' cursor.execute(sql, tup) self.conn.commit() except Exception as e: print(e) I have also tried commiting after the for loop is done, but still results in the same amount of time. Are there any ways to make this insert significantly faster?
In postgres you can use a format like: INSERT INTO films (code, title, did, date_prod, kind) VALUES ('B6717', 'Tampopo', 110, '1985-02-10', 'Comedy'), ('HG120', 'The Dinner Game', 140, DEFAULT, 'Comedy'); Due to your record base exception handling you can better first resolve the duplicates before generating this query as the whole query might fail when an integrity error occurs.
Building one large INSERT statement instead of many of them will considerably improve the execution time, you should take a look here. It is for mysql, but I think a similar approach apply for postgreSQL
Inserting mysql data from one table to another with python
I'm trying to insert data that's already in one mysql table into another, using python. The column names are the same in each table, and objkey is the distinguishing piece of data I have for the item that I'd like to use to tell mysql which columns to look at. import MySQLdb db = MySQLdb.connect(host='', user='', passwd='', db='') cursor = db.cursor sql = "INSERT INTO newtable (%s, %s, %s, %s) SELECT %s, %s, %s, %s FROM oldtable WHERE %s;" % ((name, desig, data, num), name, desig, data, num, obj = repr(objkey)) cursor.execute(sql) db.commit() db.close() It says I have a syntax error, but I'm not sure where since I'm pretty sure there should be parentheses around the field names the first time but not the second one. Anyone know what I'm doing wrong?
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Mysqldb and Python KeyError Handling
I am attempting to add multiple values to MySQL table, here's the code: Try: cursor.execute("INSERT INTO companies_and_charges_tmp (etags, company_id, created, delivered, satisfied, status, description, persons_entitled) VALUES ('%s, %s, %s, %s, %s, %s, %s, %s')" % (item['etag'], ch_no, item['created_on'], item['delivered_on'], item['satisfied_on'], item['status'], item['particulars'][0]['description'], item['persons_entitled'][0]['name'])) Except KeyError: pass The problem is that this code is in the loop and at times one of the values that are beiing inserted will be missing, which will result in Key Error cancelling the entire insertion. How do I get past the KeyError, so when the KeyError relating to one of the items that are being inserted occurs, others are still added to the table and the one that is missing is simply left as NULL?
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