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Posted to issues@spark.apache.org by "Bin Wu (JIRA)" <ji...@apache.org> on 2017/03/10 11:45:04 UTC
[jira] [Updated] (SPARK-19895) Spark SQL could not output a correct
result
[ https://issues.apache.org/jira/browse/SPARK-19895?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Bin Wu updated SPARK-19895:
---------------------------
Description:
I'm rewriting pagerank algorithm with Spark SQL, following is the code:
from pyspark.sql.functions import *
from pyspark.sql import SparkSession
spark = SparkSession \
.builder \
.appName("Python Spark SQL basic example") \
.config("spark.some.config.option", "some-value") \
.getOrCreate()
numOfIterations = 5
lines = spark.read.text("pagerank_data.txt")
a = lines.select(split(lines[0],' '))
links = a.select(a[0][0].alias('src'), a[0][1].alias('dst'))
outdegrees = links.groupBy('src').count()
ranks = outdegrees.select('src', lit(1).alias('rank'))
for iteration in range(numOfIterations):
contribs = links.join(ranks, 'src').join(outdegrees, 'src').select('dst', (ranks['rank']/outdegrees['count']).alias('contrib'))
#ranks = contribs.groupBy('dst').sum('contrib').select(column('dst').alias('src'), (column('sum(contrib)')*0.85+0.15).alias('rank'))
ranks = contribs.withColumnRenamed('dst','dst').groupBy('dst').sum('contrib').select(column('dst').alias('src'), (column('sum(contrib)')*0.85+0.15).alias('rank'))
ranks.orderBy(desc('rank')).show()
pagerank_data.txt only has several edges:
1 2
1 3
1 4
2 1
3 1
4 1
It cannot output correct rank for each node for this small graph only if I use the "withColumnRenamed". However, on large data set, the line without withColumnRenamed works correctly.
was:
I'm rewriting pagerank algorithm with Spark SQL, following is the code:
from pyspark.sql.functions import *
from pyspark.sql import SparkSession
spark = SparkSession \
.builder \
.appName("Python Spark SQL basic example") \
.config("spark.some.config.option", "some-value") \
.getOrCreate()
numOfIterations = 5
lines = spark.read.text("pagerank_data.txt")
a = lines.select(split(lines[0],' '))
links = a.select(a[0][0].alias('src'), a[0][1].alias('dst'))
outdegrees = links.groupBy('src').count()
ranks = outdegrees.select('src', lit(1).alias('rank'))
for iteration in range(numOfIterations):
contribs = links.join(ranks, 'src').join(outdegrees, 'src').select('dst', (ranks['rank']/outdegrees['count']).alias('contrib'))
#ranks = contribs.groupBy('dst').sum('contrib').select(column('dst').alias('src'), (column('sum(contrib)')*0.85+0.15).alias('rank'))
ranks = contribs.withColumnRenamed('dst','dst').groupBy('dst').sum('contrib').select(column('dst').alias('src'), (column('sum(contrib)')*0.85+0.15).alias('rank'))
ranks.orderBy(desc('rank')).show()
pagerank_data.txt only have several edges:
1 2
1 3
1 4
2 1
3 1
4 1
It cannot output correct rank for each node for this small graph only if I use the "withColumnRenamed". However, on large data set, the line without withColumnRenamed works correctly.
> Spark SQL could not output a correct result
> -------------------------------------------
>
> Key: SPARK-19895
> URL: https://issues.apache.org/jira/browse/SPARK-19895
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.0.0, 2.1.0
> Reporter: Bin Wu
> Priority: Minor
> Labels: beginner
>
> I'm rewriting pagerank algorithm with Spark SQL, following is the code:
> from pyspark.sql.functions import *
> from pyspark.sql import SparkSession
> spark = SparkSession \
> .builder \
> .appName("Python Spark SQL basic example") \
> .config("spark.some.config.option", "some-value") \
> .getOrCreate()
> numOfIterations = 5
> lines = spark.read.text("pagerank_data.txt")
> a = lines.select(split(lines[0],' '))
> links = a.select(a[0][0].alias('src'), a[0][1].alias('dst'))
> outdegrees = links.groupBy('src').count()
> ranks = outdegrees.select('src', lit(1).alias('rank'))
> for iteration in range(numOfIterations):
> contribs = links.join(ranks, 'src').join(outdegrees, 'src').select('dst', (ranks['rank']/outdegrees['count']).alias('contrib'))
> #ranks = contribs.groupBy('dst').sum('contrib').select(column('dst').alias('src'), (column('sum(contrib)')*0.85+0.15).alias('rank'))
> ranks = contribs.withColumnRenamed('dst','dst').groupBy('dst').sum('contrib').select(column('dst').alias('src'), (column('sum(contrib)')*0.85+0.15).alias('rank'))
> ranks.orderBy(desc('rank')).show()
> pagerank_data.txt only has several edges:
> 1 2
> 1 3
> 1 4
> 2 1
> 3 1
> 4 1
> It cannot output correct rank for each node for this small graph only if I use the "withColumnRenamed". However, on large data set, the line without withColumnRenamed works correctly.
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