MySQL ST_CONTAINS spatial queries extremely slow with spatial indexes

“AI Won't Replace Us Developers Yet (A Humble Reality Check) So there I was neck-deep in a MySQL nightmare. 🤯 Tried ChatGPT. Struck out. Claude? Nope. Gemini was a total bust as well. These AI models were giving me solutions that looked technically correct but were just wrong. Spent hours frustrated ready to tear my hair out. Then I did what we ALL do, Stack Overflow. And boom some legend had posted EXACTLY my problem from two years ago. With a solution written by an actual person. Commented, ex”

“Performance issue with ST_CONTAINS I have a performance issue with a query in MySQL. I need to compare location data and am trying to use ST_CONTAINS in a join. However, I am having a performance issue as it is quite slow, taking around 16 seconds to retrieve 1,000 records. I need to process several thousand records in the query. I am searching the internet for the best solution. I have already tried using other checking functions, ST_Within and MBRContains. I added a spatial index for the geo c”

“Postgres not using index with varchar_pattern_ops for pattern matching query I have a query in PostgresSQL accessing a big table using a LIKE clause for pattern matching: [code] The query has very good selectivity: [code] The application somtimes uses [code] at the end of the pattern, so replacing the [code] by [code] is not always possible I have created an index on that column with the matching operator definition: [code] But still, the pattern matching query does a Seq Scan: [code] If I repla”

“Why does a DELETE with a JOIN on partitioned columns in BigQuery cost more than dropping specific partitions? I have a large BigQuery table, big_table, around 5 TB in size. It is partitioned by the column partition_date, which has about 2000 distinct values. I also have a smaller table, small_table, which contains only two distinct partition_date values and lists specific (partition_date, product_id) combinations that should be deleted from big_table. Example: -- big_table (partitioned by partit”