Databricks SQL Databricks Runtime 通过取消嵌套collection返回行集。 在Databricks SQL 和 Databricks Runtime 13.3 LTS 及更高版本中,此函数支持命名参数调用。 语法 explode(collection) 参数 collection:ARRAY或MAP表达式。 返回 由数组的元素或者映射的键和值组成的行集。 由数组的explode生成的列名为col。 ...
explode_outer 函式 expm1 函式 抽取函式 階乘函式 過濾函式 find_in_set 函數 第一個函式 first_value 函式 展平函式 浮點數函式 (float function) 無條件捨去函數 對所有元素的函式 格式化數字函式 format_string 函式 from_avro 函式 from_csv 函數 from_json 函式 from_unixtime 函式 from_utc_...
Databricks SQL および Databricks Runtime 16.1 以降では、この関数は名前付きパラメーター呼び出し サポートします。構文コピー variant_explode ( input ) 引数variantExpr: VARIANT オブジェクトまたは VARIANT を表す VARIANT ARRAY 式。
Databricks SQL version 2025.15 is now available in the Preview channel. Review the following section to learn about new features, behavioral changes, and bug fixes. Changes in 2025.15 Behavioral changes Edit multiple columns using ALTER TABLE: You can now alter multiple columns in a single ALTER ...
Identify a scenario to use the explode function versus the flatten function Identify the PIVOT clause as a way to convert data from wide format to a long format. Define a SQL UDF. Identify the location of a function. Describe the security model for sharing SQL UDFs. Use CASE/WHEN in SQL...
Most error conditions thatDatabricks Runtimenow include documentedSQLSTATEvalues which can be used to test for errors in a SQL standard compliant way. Invoke generator functions in the FROM clause You can now invoke table-valued generator functions such asexplodein the regularFROMclause of a qu...
Data Science and ML October 1, 2024/10 min read ICE/NYSE: Unlocking Financial Insights with a Custom Text-to-SQL Application Product November 26, 2024/6 min read How automated workflows are revolutionizing the manufacturing industry Why Databricks ...
In Databricks Runtime 16.1 and above, theCOMMENT ONstatement supports altering comments for view and table columns. New SQL functions In Databricks Runtime 16.1 and above, the following new built-in SQL functions are available: dayname(expr)returns the three-letter English acronym for the day...
Databricks SQL Databricks Runtime 與產生器函式搭配使用,例如EXPLODE,其會產生包含一或多個數據列的虛擬數據表。LATERAL VIEW會將數據列套用至每個原始輸出數據列。 在Databricks SQL 中,從 Databricks Runtime 12.2 開始,這個子句已被取代。 您應該將表格值生成器函數作為table_reference來使用。
SQL 複製 -- Produce all weekdays between two dates > CREATE FUNCTION weekdays(start DATE, end DATE) RETURNS TABLE(day_of_week STRING, day DATE) RETURN SELECT extract(DAYOFWEEK_ISO FROM day), day FROM (SELECT sequence(weekdays.start, weekdays.end)) AS T(days) LATERAL...