#legacysql hasil pencarian
LegacySQLでしか使えない関数は、LegacySQLを使い続ける方法しかないのかな、、 Radians関数とかそのままだと標準SQLでは使えない(共有UDF？で使えそうなことは発見) #BigQuery #LegacySQL
SQL Tip Of The Day Use FOR XML PATH for Legacy String Concatenation Before STRING_AGG, this was the hack: SELECT ',' + name FROM Employees FOR XML PATH('') Still useful for SQL Server < 2017! Used this trick before? #SQLTips #LegacySQL #StringManipulation #TSQL
It seems that this query uses standard SQL rather than legacy. Since it is an injection, I cannot insert #legacySQL command at the beginning of the query which switches it to the legacy one instead of standard. So it seems it is impossible to use [] if the main query is standard.
Not for me, I'm using REGEX_MATCH in #legacySQL, maybe I should change to using #standardSQL
Google is an engineering org, not a marketing org. Snowflake and BigQuery are very close to parity with performance and features today, but BigQuery really hobbled itself in early days with its #legacysql syntax
SQL Tip Of The Day Use FOR XML PATH for Legacy String Concatenation Before STRING_AGG, this was the hack: SELECT ',' + name FROM Employees FOR XML PATH('') Still useful for SQL Server < 2017! Used this trick before? #SQLTips #LegacySQL #StringManipulation #TSQL
It seems that this query uses standard SQL rather than legacy. Since it is an injection, I cannot insert #legacySQL command at the beginning of the query which switches it to the legacy one instead of standard. So it seems it is impossible to use [] if the main query is standard.
LegacySQLでしか使えない関数は、LegacySQLを使い続ける方法しかないのかな、、 Radians関数とかそのままだと標準SQLでは使えない(共有UDF？で使えそうなことは発見) #BigQuery #LegacySQL
Google is an engineering org, not a marketing org. Snowflake and BigQuery are very close to parity with performance and features today, but BigQuery really hobbled itself in early days with its #legacysql syntax
Not for me, I'm using REGEX_MATCH in #legacySQL, maybe I should change to using #standardSQL
Something went wrong.
Something went wrong.
United States Trends
- 1. Trench 6,699 posts
- 2. Godzilla 22.1K posts
- 3. Richardson 3,112 posts
- 4. Foden 11.7K posts
- 5. Hato 24.3K posts
- 6. Jacob Frey 17.2K posts
- 7. Hefner 1,097 posts
- 8. Ferran 11.4K posts
- 9. Tosin 13.6K posts
- 10. Brugge 27.5K posts
- 11. Lina Khan 5,632 posts
- 12. Shabbat 1,621 posts
- 13. Qarabag 47.3K posts
- 14. Minneapolis 53.2K posts
- 15. Stearns N/A
- 16. Jared Golden 1,157 posts
- 17. #FINEST2025 N/A
- 18. SCOTUS 30.3K posts
- 19. Walker Kessler 1,785 posts
- 20. NYPD 36K posts