[SPARK-49552] [SC-177477][python] Добавитьподдержку API DataFrame дляновыхфункций SQL «randstr» и «uniform». [SPARK-48303] [16.x][sc-166251][CORE] Reorganize LogKeys [SPARK-49656] [16x][backport][SS] Add support for state variables ...
Cela simplifie l’utilisation du résultat DataFrame dans Python. Il s’agit d’un changement de comportement à partir des versions antérieures de DBR, comme précédemment, _sqldf qui n’a pas toujours été réaffecté._sqldf n’est pas réaffecté sur un %sql résultat de cellule si ...
Databricks Runtimereleases [SPARK-51624][SQL] Propagate GetStructField metadata in CreateNamedStruct.dataType Databricks Runtime16.2 SeeDatabricks Runtime [SPARK-51717][SS][RocksDB] Fix SST mismatch corruption that can happen for second snapshot created for a new query Revert "[SPARK-4789...
In Databricks Runtime 16.1 and above, you cannot use the following clauses or operators in queries that include aVARIANTdata type: DISTINCT INTERSECT EXCEPT UNION DISTRIBUTE BY Additionally, you cannot use these DataFrame functions: df.dropDuplicates() df.repartition() These operations perform compar...
与Parquet 类似,Delta 现在支持在读取或写入表时,使用 或DataFrameReader 从DataFrameWriter 和DataFrameReader.load(path) 选项读取 DataFrameWriter.save(path)。 请参阅配置Delta 存储凭据。有状态流式处理作业现在支持异步状态检查点(公共预览版)异步状态检查点是一种新功能,它可能会减少具有大量状态更新的有状态流式...
This change addresses a bug in the Delta Lake protocol where stats were not collected for columns due to a mismatch in DataFrame and table column ordering. In some cases, you might encounter write performance degradation due to stats collection on previously untracked fields. See Data skipping ...
The DataFrame and SparkSQL work almost exactly as we have described above, we're going to build up a plan for how we're going to access the data and then finally execute that plan with an action. We'll see this process in the diagram below. We go through a proces...
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_is_temporary: Some features are used only to as building blocks for other features and should not be appended to the final output as a true feature. In this case, switch this flag to True and these intermediate features will be culled before the final dataframe is delivered. ...
Make sure you read through all the sample microbenchmarks so you understand the effect of deadcode elimination, constant folding, and loop unrolling on microbenchmarks. Traversal and zipWithIndex Use while loops instead of for loops or functional transformations (e.g. map, foreach). For ...