Error in query: cannot resolve '`ctr_count_return`' given input columns: [spark_catalog.tpcds_1.date_dim.d_current_day, spark_catalog.tpcds_1.date_dim.d_current_month, spark_catalog.tpcds_1.date_dim.d_current_q
Exception in thread "main" org.apache.spark.sql.AnalysisException: cannot resolve '`id`' given input columns: [ id, name, age, sex];; 'Project ['id, name#1, age#2, sex#3] +- Relation[ id#0,name#1,age#2,sex#3] JDBCRelation(user) at org.apache.spark.sql.catalyst.analysis.package...
I am facing a challenge to execute my R code in sparklyr (version 1.7.7) and dbplyr (version 2.2.0), where it throws an error "cannot resolve a 'column'" which means the column is not present but the column is present. The same R code is...
spark.udf.register(“filter_map”, ((map : Map[String, String]) => {if (map != null && !map.isEmpty) map.filter(_._1 != null) else null})) cannot resolve ‘dt’ given input columns: sql select了不存在的字段就会报这个错误。如果是dataframe操作数据,在每次get每个column的时候,判断下...
#> Error: org.apache.spark.sql.AnalysisException: cannot resolve '`status`' given input columns: [q05.item]; line 1 pos 15; #> 'Project [item#72, 'status, '__row_num_4d0196b2_9268_4820_a724_6f3f7e53e565] #> +- SubqueryAlias `q05` ...
运行如下代码时 出现了 org.apache.spark.sql.AnalysisException 错误 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48
遇到了以下问题,在spark读取json格式数据时,select了一个存在缺失的列 User class threw exception: org.apache.spark.sql.AnalysisException: cannot resolve '`doc_tag_hot_no_prefix`' given input columns 解决方法:先定义结构,然后再读,这样如果列存在缺失,会用NULL代替 var selectData= sqlContext.read.schema...
cannot resolve 'd_date' given input columns: [s_catalog_returns.cret_call_center_id, s_catalog_returns.cret_catalog_page_id, s_catalog_returns.cret_item_id, s_catalog_returns.cret_line_number, s_catalog_returns.cret_merchant_credit, s_catalog_returns.cret_order_id, s_catalog_returns.cret...
在上面的例子中,关键信息是 cannot resolve 'column_name' given input columns,这表示 Spark 无法在当前的 DataFrame 中找到名为 column_name 的列。 3. 查找相关的Apache Spark文档或社区资源 可以查阅 Apache Spark 官方文档 中关于 AnalysisException 的部分,了解更多关于这类异常的信息。此外,也可以搜索 Stack ...
org.apache.spark.sql.AnalysisException:无法解析给定的输入列通常在这样的场景中，我将在列上使用as方法...