If you are getting the error OVER_QUERY_LIMIT when trying to geocode an address with Google set as geocoding provider, this means that you exceeded the Google Maps Platform web services usage limits by: sending too many requests per day or e.g. by sending requests too fast, i.e. too many requests per second
What are the query specifications and limits in Power Query?
Power Query specifications and limits are different from Excel specifications and limits. Feature Limitation Query name length 80 characters Invalid characters in a query name Double quotes (“), periods (.), leading or trailing whitespaces Number of cells in a Query Editor data preview 3,000 cells
What is limit on query complexity in SQL?
Limit on query complexity During query execution, the query text is transformed into a tree of relational operators representing the query. If the tree depth exceeds an internal threshold, the query is considered too complex for processing, and will fail with an error code.
What is the maximum number of Records in a Kusto query?
Kusto limits the number of records returned to the client to 500,000, and the overall data size for those records to 64 MB. When either of these limits is exceeded, the query fails with a "partial query failure".
What happens if the query is too complex?
If the tree depth exceeds an internal threshold, the query is considered too complex for processing, and will fail with an error code. The failure indicates that the relational operators tree exceeds its limits.

What is max memory per result set iterator?
Max memory per result set iterator is another limit used by Kusto to protect against "runaway" queries. This limit, represented by the request option maxmemoryconsumptionperiterator, sets an upper bound on the amount of memory that a single query plan result set iterator can hold. This limit applies to the specific iterators that aren't streaming by nature, such as join .) Here are a few error messages that will return when this situation happens:
What is Kusto streaming?
Kusto provides a number of client libraries that can handle "infinitely large" results by streaming them to the caller. Use one of these libraries, and configure it to streaming mode. For example, use the .NET Framework client (Microsoft.Azure.Kusto.Data) and either set the streaming property of the connection string to true, or use the ExecuteQueryV2Async()call that always streams results.
How to reduce the result set size?
Reduce the result set size by shifting post-query processing, such as aggregations, into the query itself. The strategy is useful in scenarios where the output of the query is fed to another processing system, and that then does other aggregations.
How to reduce the size of a query?
Reduce the result set size by modifying the query to only return interesting data. This strategy is useful when the initial failing query is too "wide". For example, the query doesn't project away data columns that aren't needed.
What does it mean to remove the result truncation limit?
Removing the result truncation limit means that you intend to move bulk data out of Kusto.
Why use shuffle query?
If the query uses summarize, join, or make-seriesoperators, you can use the shuffle querystrategy to reduce memory pressure on a single machine.
How much memory does a laptop have?
By default, this value is set to 5 GB. You may increase this value by up to half the physical memory of the machine:
What is the subclause of partition by?
The PARTITION BY subclause defines the criteria that the records must satisfy to be part of the window frame. In other words, PARTITION BY defines the groups into which the rows are divided; this will be clearer in our next example query. Finally, the ORDER BY clause defines the order of the records in the window frame.
What is over clause in SQL?
The OVER clause is essential to SQL window functions. Like aggregation functions, window functions perform calculations based on a set of records – e.g. finding the average salary across a group of employees.
What does the overpartition by article subclause mean?
In this query, the OVER PARTITION BY article subclause indicates that the window frame is determined by the values in the article column; all records with the same article value will be in one group. Below, we have the result of this query:
What is branch_month_sales?
In this query, we used a common table expression (CTE) called branch_month_sales to store the total revenue of each branch and month. Then we wrote a second query that uses the LAG () window function to obtain the revenue of the previous month (using the info from branch_month_sales ). Note that the window frame is ordered by month.
What is window frame?
The window frame is a set of rows that depends on the current row; thus, the set of rows could change for each row processed by the query. We define window frames using the OVER clause. The syntax is:
What is LearnSQL.com?
LearnSQL.com provides a one-stop-shop for all things SQL, covering basic to advanced concepts in one single platform. LearnSQL.com is specifically geared towards SQL. It offers 30 interactive SQL courses that range in difficulty from beginner to advanced and monthly SQL challenges to practice your SQL skills.
