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ในบทความนี้ What is Parquet? Options Notebook example: Read and write to Parquet files This article shows you how to read data from Apache Parquet files using Azure Databricks.What is Parquet?Apache Parquet is a columnar file format with optimizations that speed ...
本文介绍如何使用 Azure Databricks 从 Apache Parquet 文件中读取数据。 什么是 Parquet? Apache Parquet是一种列式文件格式,具有加快查询速度的优化功能。 它是比CSV或JSON更加高效的文件格式。 有关详细信息,请参阅Parquet 文件。 选项 有关支持的读取和写入选项,请参阅以下 Apache Spark 参考文章。
Most Parquet files written by Databricks end with .snappy.parquet, indicating they use snappy compression.How to unzip data The Databricks %sh magic command enables execution of arbitrary Bash code, including the unzip command. The following example uses a zipped CSV file downloaded from the ...
FileReadException: Error while reading file abfss:REDACTED@REDACTED.dfs.core.windows.net/REDACTED/REDACTED/REDACTED/REDACTED/PARTITION=REDACTED/part-00042-0725ec45-5c32-412a-ab27-5bc88c058773.c000.snappy.parquet. A file referenced in the transaction log cannot be found. This occurs when data ...
stage y failed n times, most recent failure: Lost task 0.3 in stage 141.0 (TID 770) (x.y.z.z executor 0): com.databricks.sql.io.FileReadException: Error while reading file dbfs:/mnt/Cloudfolder/folder1/silver_table/part-00000-twerrx-abcd-4538-ae46-87041a4fxxxx-c000.snappy.parquet ...
public ParquetReadSettings withCompressionProperties(CompressionReadSettings compressionProperties) Set the compressionProperties property: Compression settings. Parameters: compressionProperties - the compressionProperties value to set. Returns: the ParquetReadSettings object itself.Applies...
ParquetReadSettings ParquetSink ParquetSource ParquetWriteSettings PaypalLinkedService PaypalObjectDataset PaypalSource PhoenixAuthenticationType PhoenixLinkedService PhoenixObjectDataset PhoenixSource PipelineFolder PipelineReference PipelineReferenceType PipelineResource PipelineRun PipelineRunInvokedBy PipelineRunsQueryRespons...
Learn the syntax of the read_files function of the SQL language in Databricks SQL and Databricks Runtime.
或者session.read.parquet(file_path) 或者 session.read.csv(file_path) 本文详细看看 read.* 的实现过程。 首先调用 SparkSession.scala中的 read 函数,而 def read: DataFrameReader = new DataFrameReader(self),所以 read只是返回了一个DataFrameReader对象,然后调用".parquet"或者".csv"等,其实是调的DataFrame...