[ https://issues.apache.org/jira/browse/SPARK-32358?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
philipse reopened SPARK-32358: ------------------------------ > temp view not working after upgrading from 2.3.3 to 2.4.5 > --------------------------------------------------------- > > Key: SPARK-32358 > URL: https://issues.apache.org/jira/browse/SPARK-32358 > Project: Spark > Issue Type: Bug > Components: PySpark > Affects Versions: 2.4.5 > Reporter: philipse > Priority: Major > > After upgrading from 2.3.3 to spark 2.4.5. the temp view seems not working . > Please correct me if i miss sth. Thanks! > Steps to reproduce: > ``` > from pyspark.sql import SparkSession > from pyspark.sql import Row > spark=SparkSession\ > .builder \ > .appName('scenary_address_1') \ > .enableHiveSupport() \ > .getOrCreate() > > address_tok_result_df=spark.createDataFrame([Row(a=1,b='难',c=80),Row(a=2,b='v',c=81)]) > print("create dataframe finished") > address_tok_result_df.createOrReplaceTempView("scenery_address_test1") > print(spark.read.table('scenery_address_test1').dtypes) > spark.sql("select * from scenery_address_test1").show() > ``` > > In spark2.3.3 I can easily gey the following result: > ``` > create dataframe finished > [('a', 'bigint'), ('b', 'string'), ('c', 'bigint')] > +-----+-++--- > |a|b|c| > +-----+-++--- > |1|难|80| > |2|v|81| > +-----+-+—+ > ``` > > But in 2.4.5. i can only get,but without result showing out: > create dataframe finished > [('a', 'bigint'), ('b', 'string'), ('c', 'bigint')] -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org