Hey loves! I wanted to share some super affordable statement jewelry from beads.us! I hope you like it! xo, Alex!
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Crystal Earring and Necklace set
Large Blue, pink and white statement earrings
Emerald & Crystal earrings
Gold & Jade inspired bracelet
Rose Gold Ring
Sapphire & blue opal inspired earrings
Crystal flower inspired statement necklace
Gold & berry rose with crystals earrings
Sapphire & Turquoise inspired stone drop earrings
Large collar cascading flowers necklace
Multicolor gold flower necklace
Antique inspired drop earrings
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Life of Riley by Kevin MacLeod is licensed under a Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/)
DISCLAIMER: Not Sponsored. Jewelry provided by Beads.us for consideration. All comments and statements are of my OWN and are in no way intended to offend any persons or companies.
Thanks, I never knew of this website! Thanks for sharing! Come & check out my chanel if you like, and no this is not to spam you at all. I am just an average woman. I work, I have kids, I do beauty and more on my youtube channel.
just checked them out and I understand the prices are cheap to some but to e they are high compared to ebay and to the wholesalers I buy from I seen some rings on the site that they sell one for the price I pay fore 5 or ten on some items and I get free shipping. but I do thank you fore the site as some stuff I see I cant get elce ware
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.