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https://issues.apache.org/jira/browse/SPARK-10310?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yin Huai updated SPARK-10310:
-----------------------------
Priority: Critical (was: Blocker)
> [Spark SQL] All result records will be popluated into ONE line during the
> script transform due to missing the correct line/filed delimeter
> ------------------------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-10310
> URL: https://issues.apache.org/jira/browse/SPARK-10310
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Reporter: Yi Zhou
> Priority: Critical
>
> There is real case using python stream script in Spark SQL query. We found
> that all result records were wroten in ONE line as input from "select"
> pipeline for python script and so it caused script will not identify each
> record.Other, filed separator in spark sql will be '^A' or '\001' which is
> inconsistent/incompatible the '\t' in Hive implementation.
> #################Key Query####################:
> CREATE VIEW temp1 AS
> SELECT *
> FROM
> (
> FROM
> (
> SELECT
> c.wcs_user_sk,
> w.wp_type,
> (wcs_click_date_sk * 24 * 60 * 60 + wcs_click_time_sk) AS tstamp_inSec
> FROM web_clickstreams c, web_page w
> WHERE c.wcs_web_page_sk = w.wp_web_page_sk
> AND c.wcs_web_page_sk IS NOT NULL
> AND c.wcs_user_sk IS NOT NULL
> AND c.wcs_sales_sk IS NULL --abandoned implies: no sale
> DISTRIBUTE BY wcs_user_sk SORT BY wcs_user_sk, tstamp_inSec
> ) clicksAnWebPageType
> REDUCE
> wcs_user_sk,
> tstamp_inSec,
> wp_type
> USING 'python sessionize.py 3600'
> AS (
> wp_type STRING,
> tstamp BIGINT,
> sessionid STRING)
> ) sessionized
> #############Key Python Script#################
> for line in sys.stdin:
> user_sk, tstamp_str, value = line.strip().split("\t")
> ############Result Records example from 'select' ##################
> ^V31^A3237764860^Afeedback^U31^A3237769106^Adynamic^T31^A3237779027^Areview
> ############Result Records example in format######################
> 31 3237764860 feedback
> 31 3237769106 dynamic
> 31 3237779027 review
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