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Which is the right one? P.S. Something to note is that on S3, the API contains the parameter UseCsvEndpoint, which switches the endpoint to be CSV. However, this parameter is not honoured by Glue, so it is not appropriate to use it. You
can still use the path parameter to set the path. A: You can have as many paths as you want, you just need to create a different one for each dataset with a different name. You just need to define them as a variable in the SparkSession:
spark.conf.set("spark.sql.warehouse.dir","s3a://somestuff.s3.amazonaws.com/mdowired/") spark.conf.set("spark.default.parquet.compress", "true") spark.conf.set("spark.sql.parquet.compression", "true") val Dataset1 =spark.read.json("s3a://somestuff/path/to/file.json") val Dataset2 = spark.read.json("s3a://somestuff/path/to/file2.json") val Dataset3 = spark.read.csv("s3a://somestuff/path/to/file3.csv") val Dataset4 =spark.read.csv("s3a://somestuff/path/to/file4.csv") ... SparkSession(sc).conf.set("spark.sql.warehouse.dir","s3a://somestuff/path/to/") This way you will keep your data structure and you can use the appropriate method for each one. The
present invention relates to the field of methods for exchanging information between a portable information terminal and a program processing device provided in a general personal computer, and to a program processing device forrealizing this, and to a portable information terminal with which the program processing device can exchange information. In recent years, portable information terminals such as a personal digital assistant (PDA) are becoming widely
popular. One of the roles of the PDA is to display information, such as electronic mails (e-mails) and stock information, stored in a server on a display screen. In the past, information that had f678ea9f9e
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