Been a minute since I did SQL programming. I have a large table that can be broken up into several tables.
What I need is where date and keyword row, put the "integer" in the cell. So I have the different years (not sequential, like 1950, 1956, 1958, 1961 ...) going across the top, keywords defining the rows and the integer in the cells.
And what is the best way to sort the columns in date order oldest to the newest. Different quantities of dates for each report.
Thanks
IS there a way in SQL to make multiple rows for a common column, show up in one?
For example I would like this output:
to show up as:
I believe this article contains solutions to your question -
SQL Query to concatenate column values from multiple rows in Oracle
I need your assistance to figure out how to achieve the following in MS access database.
I have a table with a lot of columns but one of them has a numeric value that will be used as how many times will the record will be repeated.
I need to make another table with repeated records based on Count column.
Build a numbers (aka tally) table (you can google it). I'll call it tblNumbers. Then all you need to do is create a query SELECT <yourTable>.* FROM <yourTable>, tblNumbers WHERE tblNumbers.Number <= <yourTable>.<numberField>
We have a huge table and one of the column contains queries like e.g. in row 1
1. (((firstname:Adam OR firstname:Neil ) AND lastname:Lee) ) AND category:"Legal" AND type:Individual
and in row 2 of same column
2. (((firstname:Adam* OR firstname:Neil ) AND lastname:Lee) ) AND category:"Legal" AND type:Organization
Similarly there are few other types of Query strings which are used eventually to query external services.
Issue is based on certain criteria I have to group and remove duplicates from this table.
There are few rules to determine grouping of Strings in different rows.One of them is that if first name and lastname are same then ignore category and type values, therefore above two rows will be grouped to one. There are around million rows. Comparing Strings and doing grouping is not looking elegant solution. What could be best possible solution using sql.
I have an SQL table with 500,000 records in orders table.
The sql have been used for past 5 years and every year there are about 100,000 records added on the database.
The table has about 30 fields , one of the fields is "OrderDate"
The query needs only records for the last few months, maximum past 12 months.
so all the records before that are just useless and slow down all the query.
query is slow, and takes 3-4sec, same query was almost immediate few years ago.
i have to load and print all fields columns at once.
Can i make the SQL ignore and not look through part of records, suppose records with OrderDate before 2013, or first 400,000 records or ignore certain part of the records without deleting them?
As far as I can see you have two options:
Creating a new table which is identical to the old one and insert there the rows that you want to ignore, then, delete those same rows from the original table. This solution is good in the case that those rows are "useless" to every query (and if it's viable, you can update other queries that make use of those rows).
Index the column.
This is a classic use of table partitioning, but we don't know what type of SQL you're using so we don't know if it supports it. Add a tag for the version of SQL (SQL Server? Oracle?)