python - How to use join with many conditions in pyspark? -

-



i able use dataframe join statement single on condition ( in pyspark) but, if try add multiple conditions, failing.

code : 

   summary2 = summary.join(county_prop, ["category_id", "bucket"], how = "leftouter").

the above code works. if add other condition list like, summary.bucket == 9 or something, fails. please me fix issue.

   error statement     summary2 = summary.join(county_prop, ["category_id", (summary.bucket)==9], how = "leftouter")     error : typeerror: 'column' object 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 join on :

category_id , bucket columns, want replace 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. works if mention whole statement cols, if list conditions ["category_id", "bucket"]  --- works.     2. but, if use combination of both cond =["bucket", bucket_summary.category_id == "state"]

it not working. can go wrong 2 statement?

e.g.

df1.join(df2, on=[df1['age'] == df2['age'], df1['sex'] == df2['sex']], how='left_outer')

but in case, (summary.bucket)==9 should not appear join condition

update:

in join condition can use list of column join expression or list of column / column_name





wiki

Comments

Post a Comment

Popular posts from this blog

Asterisk AGI Python Script to Dialplan does not work -

-
i'm stuck project have check database of sip extension incoming caller id , dial sip extension. below receive when run script on asterisk cli. -- registered sip '9125' @ 192.168.1.102:50142 > saved useragent "zoiper rv2.8.40" peer 9125 [2017-08-22 13:53:33] notice[5095]: chan_sip.c:24558 handle_response_peerpoke: peer '9125' reachable. (17ms / 2000ms) == using sip rtp tos bits 184 == using sip rtp cos mark 5 -- executing [0112617769@from-trunk:1] answer("sip/obitrunk1-0000000d", "") in new stack > 0x1ca50d0 -- probation passed - setting rtp source address 192.168.1.98:16834 -- executing [0112617769@from-trunk:2] agi("sip/obitrunk1-0000000d", "test.py") in new stack -- launched agi script /var/lib/asterisk/agi-bin/test.py args: ['/var/lib/asterisk/agi-bin/test.py'] env line: agi_request: test.py env line: agi_channel: sip/obitrunk1-0000000d env line: agi_language: en env line: a
Read more

python - Read npy file directly from S3 StreamingBody -

-
i have many .npy (numpy) , .json files saved in s3, need download , load these files. for json files downloading files , loading dictionary using following code: obj = s3.object(bucket, key) response = obj.get() body = response['body'].read().decode('utf-8') data = json.loads(body) that way avoid writing .json file disk , reading it. now want same .npy files, equivalent? currently downloading file, saving temp file on disk , loading np.load avoid if possible. following https://stackoverflow.com/a/28196540/3509999 : obj = s3.object(bucket, key) io.bytesio(obj.get()["body"].read()) f: # rewind file f.seek(0) arr = np.load(f) wiki
Read more

kotlin - Out-projected type in generic interface prohibits the use of metod with generic parameter -

-
i start using kotlin , defined interface this: interface aadapter<vh : recyclerview.viewholder> { fun oncreateaviewholder(parent: viewgroup): vh fun onbindaviewholder(v: vh, position: int) } and when try use on code: class klasa ( private val adapter: aadapter<*> ) { fun dosth(){ //... val vh = this.adapter.oncreateaviewholder(parent) //on below line error adapter.onbindaviewholder(v, position) //... } } i error out-projected type 'aadapter<*>' prohibits use of 'public abstract fun onbindaviewholder(v: t, position: int): unit i tied add "in" or "out" definition i'm confused. how allow it. replace aadapter<*> aadapter<recyclerview.viewholder> . class klasa ( private val adapter: aadapter<recyclerview.viewholder> ) { // ... because have declared aadapter has type parameter vh type subclass of recyclerview.
Read more