#legacysql resultados de búsqueda
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
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
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