Today I will show you how to make a veggie burger. This is a sweet potato quinoa veggie burger. It is so easy to make and is absolutely delish!! Be sure to give this video a thumbs up if you like it:)
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MORE VEGAN RECIPES-https://youtu.be/jDpRW-CYY3k?list=PLs_craypG2l1j1yzrjR1zKLKGsnTS0tPl
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This letter is to you. The you that's had a rough week. The you that seems to be under constant storm clouds. The you that feels invisible. The you that doesn't know how much longer you can hold on. The you that had lost faith. The you that always blames yourself for everything that goes wrong. To you. You are incredible. You make this world a little bit more wonderful. You have so much potential and so many things left to do. You have time. Better things are coming your way, so please hang in there. You can do it.
This article has been motivated by a response I gave to a problem raised on an Oracle developer forum. Our requirement is to produce a report that details customer spending for each month of the year. Our database only records actual spend, so for any given month, data for dormant or idle customers will have to be generated.
First, well create a mock CUSTOMER_ORDERS table with sparse data to represent customer spending. To keep the example simple, well denormalise the customer name onto the orders table.
a sparse report.
With our customer orders data as sparse as it is, a monthly report for purchases by customer would look as follows.
adding the missing months.
We can see from the data that we are missing most months of the year for our two customers. Remember that our requirement is to show a report for every month in 2004 for every customer. First we will build a "time dimension" set (using subquery factoring) and outer join it to our orders table.
We can see that this hasnt quite worked. We have the zero sums and the year-months, but we are missing customer names. This is because we outer joined to CUSTOMER_ORDERS on the year-months, so any customer columns would show as NULL for deficient rows. Until PARTITION OUTER JOIN appeared in Oracle 10g, we couldnt "invent" data easily , though the next section shows that it is possible in prior versions.
data-densification without partition outer join.