Join table in the Customer Product Setup Order

Aug 6th, 2022

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Got questions?

Below are some common questions from our customers that may provide you with the answer you're looking for. If you can't find an answer to your question, please don't hesitate to reach out to us.

Does the order of my joins matter in Bigquery?

Best practice: For queries that join data from multiple tables, optimize your join patterns by starting with the largest table. When you create a query by using a JOIN clause, consider the order in which you are merging the data.

How do I choose a join order?

The join order is determined based on cost, which is strongly influenced by the cardinality estimates and available access paths. However, the Optimizer will also always adhere to some basic rules: The Optimizer will always select a join that will produce at most 1 row as the initial join in the plan.

What is the optimal table join order?

The join order is the order in which the tables are joined together in a multi-table SQL statement. Ideally, a plan should start with the join that eliminates the most data to minimize the amount of data carried into the subsequent joins.

Does the join order of my tables matter?

Generally, no, the order of the tables in the JOIN will not affect the overall results of the query. As long as you specify what columns to select, the results should appear essentially the same, just that the rows will be ordered ing to the appearance in the first table.

What order do you join tables in?

Inner joins reduce result sets. Outer joins increase result sets. Therefore inner joins should be performed before outer joins. If you first perform an outer join and subsequently an inner join, the desired increasing of the result set during the outer join is lost.

What is the most efficient way to join tables?

Best Practices Let the large table join the small table rather than the large table joining the large table. Use the equality condition and the and condition in the join conditions, but do not use the or condition. Use Inner Join or Outer Join instead of Cross Join.

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