approx_count_distinct 函式 approx_percentile 函式 approx_top_k 函式 array 函式 array_agg 函式 array_append 函式 array_compact 函式 array_contains 函式 array_distinct 函式 array_except 函式 array_insert 函式 array_intersect 函式 array_join 函式 array_max 函式 array_min 函式 array_positi...
PIVOT 子句 Query 取樣查詢 SELECT 集作業 SORT BY 子句 Star 子句 資料表值函式 資料表參考 UNPIVOT 子句 WATERMARK 子句 WHERE 子句 WINDOW 子句 WINDOW 框架子句 ANALYZE TABLE CACHE TABLE CLEAR CACHE REFRESH FUNCTION REFRESH TABLE REFRESH UNCACHE TABLE ...
approx_count_distinct 函数 approx_percentile 函数 approx_top_k 函数 array 函数 array_agg 函数 array_append 函数 array_compact 函数 array_contains 函数 array_distinct 函数 array_except 函数 array_insert 函数 array_intersect 函数 array_join 函数 array_max 函数 array_min 函数 array_position 函数...
数据集转换和操作只能由驱动程序调用,而不能在其他数据集转换内部调用;例如,dataset1.map(x => dataset2.values.count() * x) 无效,因为无法在 dataset1.map 转换内部执行值转换和计数操作。 有关详细信息,请参阅 SPARK-28702。CANNOT_LOAD_FUNCTION_CLASS...
Users can now format cell values in the new notebooks pivot table. File, query, and feature store lineage are available. March 16, 2023 Improvement: Support for GROUP BY ALL syntax. March 9, 2023 New feature: The Databricks SQL Statement Execution API is now available in Public Preview. Sta...
[SPARK-42346] [SC-122480][SQL] Rewrite distinct aggregates after subquery merge[SPARK-42306] [SC-122539][SQL] Integrate _LEGACY_ERROR_TEMP_1317 into UNRESOLVED_COLUMN.WITH_SUGGESTION[SPARK-42234] [SC-122354][SQL] Rename error class: UNSUPPORTED_FEATURE.REPEATED_PIVOT...
NON_LITERAL_PIVOT_VALUES SQLSTATE: 42K08 Literal expressions required for pivot values, found <expression>. NON_PARTITION_COLUMN SQLSTATE: 42000 PARTITION clause cannot contain the non-partition column: <columnName>. NON_TIME_WINDOW_NOT_SUPPORTED_IN_STREAMING SQLSTATE: 42KDE Window function is...
[SPARK-42346] [SC-122480][SQL] Rewrite distinct aggregates after subquery merge[SPARK-42306] [SC-122539][SQL] Integrate _LEGACY_ERROR_TEMP_1317 into UNRESOLVED_COLUMN.WITH_SUGGESTION[SPARK-42234] [SC-122354][SQL] Rename error class: UNSUPPORTED_FEATURE.REPEATED_PIVOT...
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approx_count_distinct(expr[,relativeSD]) Retourne le nombre estimé de valeurs distinctes dans expr au sein du groupe. approx_percentile(expr,percentage[,accuracy]) Retourne le centile approximatif de expr au sein du groupe. approx_top_k(expr[,k[,maxItemsTracked]]) Retourne les k valeurs ...