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is it possible to converta spark dataframe to dynamic frame and then using bookmark feature on the s3 folder used to read data in spark frame

0
df = spark.read.parquet("s3://folder/")
df = df.withColumn('filename', input_file_name())
AmazonS3_node1697616892615 = DynamicFrame.fromDF(df, glueContext, "s3sparkread")

if this is the code will the folder be bookmarked ? i want to read only new data coming to the folder.

i need to read in spark data frame as i am facing this issue [https://repost.aws/questions/QULSA0zge2QN-_2c_BqIQ_XA/in-aws-glue-not-able-to-add-the-source-file-name-in-the-dynamic-frame]( repost link)

Topics
StorageAnalyticsDatabase
Tags
Amazon Simple Storage ServiceAWS GlueExtract Transform & Load Data
Language
English
KG
asked 4 months ago271 views
1 Answer
0

No, that will just transform the data already read but won't keep track of files.
Bookmarks require a DynamicFrame and a transaction_ctx specified.

profile pictureAWS
EXPERT
Gonzalo Herreros
answered 4 months ago
  • KG
    4 months ago

    what can i change in this code to do bookmarking , i cannot read the data directly in to dynamic frame as i need the s3 file name in one of the columns.

    Do i need to modify this line to have some thing more

    AmazonS3_node1697616892615 = DynamicFrame.fromDF(df, glueContext, "s3sparkread")

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