allo, 1 dunno. I generate my EMR scripts in a separate script so generating a stack of 'alter table...' queries is easy for me 2 event_b will have a null value in column 4. 2 b ( you didn't ask) what happens with this row:
event_c user_id france 500 afifthcolumn afifthcolumn will be truncated and you'll have only event_c through 500 in the row Pat From: Kennon Lee [mailto:ken...@tinyco.com] Sent: Monday, June 27, 2011 5:50 PM To: user@hive.apache.org Subject: loading datafiles in s3 Hello, We're using hive on amazon elastic mapreduce to process logs on s3, and I had a couple basic questions. Apologies if they've been answered already-- I gathered most info from the hive tutorial on amazon (http://aws.amazon.com/articles/2855), as well as from skimming the hive wiki pages, but I'm still very new to all of this. So, questions: 1) Is it possible to partition on directories that do not have the "key=" prefix? Our logs are organized like s3://bucketname/dir/YYYY/MM/DD/HH/*.bz2 and so ideally we could partition on that structure instead of adding "dt=" to every directory name. I found an old thread discussing this (http://search-hadoop.com/m/SGTqLox5Il/partition+directory/v=threaded<http://search-hadoop.com/m/SGTqLox5Il/partition+directory/v=threaded)>) but couldnt find the actual syntax. 2) How does hive handle tab-delimited files where rows sometimes have different column counts? For instance, if we are parsing an event log that contains multiple events, some of which have more columns associated with them: event_a user_id apple 300 event_b user_id cat If i define my hive table to have 4 columns, how will hive react to the event_b row? Thanks!
