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https://www.databricks.com/notebooks/delta-lake-cdf.htmlI am trying to understand the above article. Could someone explain to be the below questions?a) From SELECT * FROM table_changes('gold_consensus_eps', 2)why is consensus_eps values of 2.1 and 2....
Hi @THIAM HUAT TAN Thank you for posting your question in our community! We are happy to assist you.To help us provide you with the most accurate information, could you please take a moment to review the responses and select the one that best answer...
Hi,While creating an SQL notebook, I am struggling with extracting some values from a JSON array field. I need to create a view where a field would be an array with values extracted from a field like the one below, specifically I need the `value` fi...
I have a xlsx file which has a single column ;percentage30%40%50%-10%0.00%0%0.10%110%99.99%99.98%-99.99%-99.98%when i read this using Apache-Spark out put i get is,|percentage|+----------+| 0.3|| 0.4|| 0.5|| -0.1|| 0.0|| ...
Affirmative. This is how excel stores percentages. What you see is just cell formatting.Databricks notebooks do not (yet?) have the possibility to format the output.But it is easy to use a BI tool on top of Databricks, where you can change the for...
Show all distinct values per column in dataframeProblem Statement:I want to see all the distinct values per column for my entire table, but a SQL query with a collect_set() on every column is not dynamic and too long to write.Use this code to show th...
We can set for example:spark.conf.set('aaa.test.junk.config', 99999) , and then run spark.conf.get("aaa.test.junk.config”) which will return a value.The problem occurs when incorrectly setting to a similar matching property.spark.conf.set('spark.sql....
You would solve this just like we solve this problem for all lose string references. Namely, that is to create a constant that represents the key-value you want to ensure doesn't get mistyped.Naturally, if you type it wrong the first time, it will be...
What is the best practice for a delta pipeline with very high throughput to avoid small files problem and also reduce the need for external OPTIMIZE frequently?
The general practice in use is to enable only optimize writes and disable auto-compaction. This is because the optimize writes will introduce an extra shuffle step which will increase the latency of the write operation. In addition to that, the auto-...
