Join expense in UOML

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How to Join expense in UOML

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okay so in this video lets try to answer a very frequently Asked SQL interview problem that is you are given two different tables with some data and you are asked to find the number of records that will be returned by using different type of joints on these two tables that is inner join left join right join and full outer join now the tricky part is that the data that is present in these two tables is having some duplicate values it might have some null values Etc and also you are not allowed to query the data you just need to look at these two table data and figure out the number of records that will be returned when you do these type of joints now in order to correctly answer this particular question you need to completely understand how internally SQL does different type of joints and that is exactly what I will be explaining in this video and Im going to explain that by taking up two different data sets so lets start with scenario one as you can see I have been given two differe

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Why is join expensive?

Joins in general are expensive since they require that corresponding keys from each RDD are located at the same partition so that they can be combined locally.

Which is the costly join in SQL?

The Hash join in Row Mode is always more expensive than the Merge join. In this example, the requirements for a merge join are met with the index and a separate Sort operation is not required. Sometimes, an execution plan may show a Sort operation after the source access, then feeding into a Merge join.

Which join is most expensive?

Join (Inner, Left, Right and Full Joins) A SQL Join statement is used to combine data or rows from two or more tables based on a common field between them. Different types of Joins are: INNER JOIN. Therefore its more expensive.

Is joining tables costly?

Joins are a costly database operation because they require creation of a cartesian product in memory. This means that a virtual table is created in memory that has a number of rows that is a multiplication of the number of rows from all the tables that you are joining.

Are inner joins more expensive than left joins?

If you run this and view the execution plan, youll see that the INNER JOIN query does indeed cost more than the LEFT JOIN , because it satisfies the two criteria above.

Are inner joins expensive?

The reason why joins are typically expensive is that joining may result in a number of tuples larger than the size of either table. However, sometimes the join attributes in one table functionally determine a unique tuple in another table.

Is inner join more efficient?

Remember that both of these types of joins can improve database performance, but the inner one will perform better when the number of tuples is large, and the database is designed to support them. If you have a two-tier architecture or you have linked database features, the two-table join will work better for you.

What is cost of join operations?

In general, the cost of a join operation is a function of the ratio of the extracted records to all records. Hereafter, we refer to this ratio as the selectivity. In Figure 2, the selectivity is determined by the condition x for the column R.C in Figure 2(c).

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