netezza

I have a table in netezza (based on postgresql) like below. I need to create a new table with the NULL values for name to be replaced with value of name for the previous non-null row. table1 id name time value --------------------- 1 john 11:00 324 2 NULL 12:00 645 3 NULL 13:00 324 4 bane 11:00 132 5 NULL 12:00 30 6 NULL 13:00 NULL 7 NULL 14:00 -1 8 zane 11:00 152 9 NULL 12:00 60 10 NULL 13:00 NULL output table name time value --------------------- john 11:00 324 john 12:00 645 john 13:00 324 bane 11:00 132 bane 12:00 30 bane 13:00 NULL bane 14:00 -1 zane 11:00 152 zane 12:00 60 zane 13:00

I am using jaydebeapi (Mac OS X) to query a Netezza database and performing some quick/dirty timing: t0 = time.time() curs.execute('''select * from table1;''') print time.time() - t0 I created the table myself and it contains 650,000 rows and 9 columns (integers and dates). When I run the above command it takes about 1.3 minutes to complete (averaged over 10 runs). Then, when I try to fetch the data: t0 = time.time() curs.execute('''select * from table1;''') row = curs.fetchone() while row is not None: row = curs.fetchone() print time.time() - t0 It takes about 10 minutes to complete (averaged

I have a table with rows like: id group_name_code 1 999 2 16 3 789 4 999 5 231 6 999 7 349 8 16 9 819 10 999 11 654 But I want output rows like this: id group_name_code 1 999 2 16 3 789 4 231 5 349 6 819 7 654 Will this query help? select id, distinct(group_name_code) from group_table; Erwin Brandstetter You seem to want: Distinct values for group_name_code and a sequential id ordered by minimum id per set of group_name_code . Netezza has the DISTINCT key word, but not DISTINCT ON () (Postgres feature) : https://www.ibm.com/support/knowledgecenter/en/SSULQD_7.2.1/com.ibm.nz.dbu.doc/r_dbuser

I would like to export data as CSV from netezza. The data consists of millions of lines of records. The data should be within inverted commas and should have ^ as delimiter. Eg: "a"^"b"^"c" Whenever you want to export data from Netezza, you will want to use its external tables functionality. If you are exporting to a filesystem mounted locally to the Netezza host, you could use this: CREATE external TABLE '/tmp/test_export.txt' USING (delimiter '^') AS SELECT * FROM test_export; If you are connecting to Netezza via JDBC, ODBC, or OLE-DB via tool like Aginity Workbench, and want to export the

I need to perform a left join of two tables in netezza during an update. How can i achieve this ? Left join with three tables are working but not with two tables. UPDATE table_1 SET c2 = t2.c2 FROM table_1 t1 LEFT JOIN table_2.t1 ON t1.c1=t2.c1 LEFT JOIN table_3 t3 ON t2.c1=t3.c1 this works but UPDATE table_1 SET c2 = t2.c2 FROM table_1 t1 LEFT JOIN table_2.t1 ON t1.c1=t2.c1 this says like trying to update multiple columns. Thanks, Manirathinam. When performing an UPDATE TABLE with a join in Netezza, it's important to understand that the table being updated is always implicitly INNER JOINed

Is there a query I can write to search all the column names for a particular database in Netezza? Within the same database you can use the following query: select * from _v_odbc_columns1 where column_name like '%columnname%' or a less Netezza specific query select * from information_schema.columns where column_name like '%columnname%' You would access something similar to an information_schema. Column Name, %COW%', would use % as a wildcard...gathering any column that has 'COW' in the name SELECT * FROM _V_SYS_COLUMNS WHERE COLUMN_NAME like '%COW%' AND TABLE_SCHEMA = 'DEV' ORDER BY TABLE_NAME

I am currently writing a script to run multiple SQL files using Python, a little background before you mention alternative methods; this is to automate the scripts and Python is the only tools I have on our windows 2008 server. I have a script that works for one set but the issue is when the other set has two statements instead of one seperated by a ';' here is my code: import os import pyodbc print ("Connecting via ODBC") conn = pyodbc.connect('DSN=dsn', autocommit=True) print ("Connected!\n") inputdir = 'C:\\path' cursor = conn.cursor() for script in os.listdir(inputdir): with open(inputdir+