Reputation: 584
As an example, I have a .csv
which uses the Excel dialect which uses something like Python's csv module doubleQuote
to escape quotes.
For example, consider the row below:
"XX ""YYYYYYYY"", ZZZZZZ ""QQQQQQ""","JJJJ ""MMMM"", RRRR ""TTTT""",1234,RRRR,60,50
I would want the schema to then become:
[
'XX "YYYYYYYY", ZZZZZZ "QQQQQQ"',
'JJJJ "MMMM", RRRR "TTTT"',
1234,
'RRRR',
60,
50
]
Is there a way to set the schema of a dataset in a programmatic/automated fashion?
Upvotes: 1
Views: 382
Reputation: 967
While you can do this in code, foundrys dataset-app can also do this natively. This means you can skip writing the code (which is nice) but also means you can potentially save a step in your pipeline (which might save you on runtime.)
After uploading the files to a dataset, press "edit schema" on the dataset:
Then apply settings like the following, which would result in the desired outcome in your case:
Then press "save and validate" and the dataset should end up with the correct schema:
Upvotes: 3
Reputation: 16778
Starting with this example:
Dataset<Row> dataset = files
.sparkSession()
.read()
.option("inferSchema", "true")
.csv(csvDataset);
output.getDataFrameWriter(dataset).write();
Add the header
, quote
, and escape
options, like so:
Dataset<Row> dataset = files
.sparkSession()
.read()
.option("inferSchema", "true")
.option("header", "true")
.option("quote", "\"")
.option("escape", "\"")
.csv(csvDataset);
output.getDataFrameWriter(dataset).write();
Upvotes: 0