How to use join with many conditions in pyspark?
e.g.
df1.join(df2, on=[df1['age'] == df2['age'], df1['sex'] == df2['sex']], how='left_outer')
But in your case, (summary.bucket)==9
should not appear as join condition
UPDATE:
In join condition you can use a list of Column join expression
or a list of Column / column_name
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Viv
Updated on May 26, 2022Comments
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Viv over 1 year
I am able to use the dataframe join statement with single on condition ( in pyspark) But, if I try to add multiple conditions, then It is failing.
Code :
summary2 = summary.join(county_prop, ["category_id", "bucket"], how = "leftouter").
The above code works. However If I add some other condition for list like, summary.bucket == 9 or something, it fails. Please help me fix this issue.
The error for the statement summary2 = summary.join(county_prop, ["category_id", (summary.bucket)==9], how = "leftouter") ERROR : TypeError: 'Column' object is not callable
Edit :
Adding full working example.
schema = StructType([StructField("category", StringType()), StructField("category_id", StringType()), StructField("bucket", StringType()), StructField("prop_count", StringType()), StructField("event_count", StringType()), StructField("accum_prop_count",StringType())]) bucket_summary = sqlContext.createDataFrame([],schema) temp_county_prop = sqlContext.createDataFrame([("nation","nation",1,222,444,555),("nation","state",2,222,444,555)],schema) bucket_summary = bucket_summary.unionAll(temp_county_prop) county_prop = sqlContext.createDataFrame([("nation","state",2,121,221,551)],schema)
Want to do a join on :
category_id and bucket columns, I want to replace the values of county_prop on bucket_summary.
cond = [bucket_summary.bucket == county_prop.bucket, bucket_summary.bucket == 2]
bucket_summary2 = bucket_summary.join(county_prop, cond, how = "leftouter")
1. It works if I mention the whole statement with cols, but if I list conditions like ["category_id", "bucket"] --- THis too works. 2. But, if I use a combination of both like cond =["bucket", bucket_summary.category_id == "state"]
It is not working. What can go wrong with the 2 statement?
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mtoto about 6 yearsplease provide a full reproducible example
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Shaido about 6 yearsIn your example, can't you simply do a
.filter($"bucket" === 9)
before performing thejoin
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Viv about 6 years@mtoto, I ve added the example and updated the question with more findings.
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Viv about 6 yearsIt works for bucket == 9 as well, only failure is when in the condition line if I write combination like : cond =["bucket", bucket_summary.category_id == "state"]