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Xin Wu commented on SPARK-9761: ------------------------------- I can recreate this with the following code {code} val conf = new SparkConf().setAppName("TPCDS").setMaster("local") val sc = new SparkContext(conf) val hiveContext = new HiveContext(sc) hiveContext.sql("drop table Orders") val df = hiveContext.read.json("/home/xwu0226/spark-tables/Orders.json") df.show() df.write.saveAsTable("Orders") hiveContext.sql("ALTER TABLE Orders add columns (z string)") hiveContext.refreshTable("Orders") hiveContext.sql("describe extended Orders").show {code} Output: {code} +----------+-------+ |CustomerID|OrderID| +----------+-------+ | 452| 1| +----------+-------+ 16:46:28.483 WARN org.apache.hadoop.hive.metastore.HiveMetaStore: Location: file:/user/hive/warehouse/orders specified for non-external table:orders +----------+---------+-------+ | col_name|data_type|comment| +----------+---------+-------+ |CustomerID| bigint| | | OrderID| bigint| | +----------+---------+-------+ {code} I am taking a look. > Inconsistent metadata handling with ALTER TABLE > ----------------------------------------------- > > Key: SPARK-9761 > URL: https://issues.apache.org/jira/browse/SPARK-9761 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 1.4.1 > Environment: Ubuntu on AWS > Reporter: Simeon Simeonov > Labels: hive, sql > > Schema changes made with {{ALTER TABLE}} are not shown in {{DESCRIBE TABLE}}. > The table in question was created with {{HiveContext.read.json()}}. > Steps: > # {{alter table dimension_components add columns (z string);}} succeeds. > # {{describe dimension_components;}} does not show the new column, even after > restarting spark-sql. > # A second {{alter table dimension_components add columns (z string);}} fails > with RROR exec.DDLTask: org.apache.hadoop.hive.ql.metadata.HiveException: > Duplicate column name: z > Full spark-sql output > [here|https://gist.github.com/ssimeonov/d9af4b8bb76b9d7befde]. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org