您好，尝试使用hive-malls回归工具包时，在尝试构建特征表示时遇到错误。

我一直在遵循本指南https://hivemall.incubator.apache.org/userguide/supervised_learning/tutorial.html，并一直在尝试复制它。我使用了提供的代码，但是运行时遇到了问题。

我的问题似乎与指南的这一部分有关

create table if not exists purchase_history as
select 1 as id, "Saturday" as day_of_week, "male" as gender, 600 as price, "book" as category, 1 as label
union all
select 2 as id, "Friday" as day_of_week, "female" as gender, 4800 as price, "sports" as category, 0 as label
union all
select 3 as id, "Friday" as day_of_week, "other" as gender, 18000 as price, "entertainment" as category, 0 as label
union all
select 4 as id, "Thursday" as day_of_week, "male" as gender, 200 as price, "food" as category, 0 as label
union all
select 5 as id, "Wednesday" as day_of_week, "female" as gender, 1000 as price, "electronics" as category, 1 as label
;

create table if not exists training as
select
id,
array_concat( – concatenate two arrays of quantitative and categorical features into single array
quantitative_features(
array("price"), – quantitative feature names
price – corresponding column names
),
categorical_features(
array("day of week", "gender", "category"), – categorical feature names
day_of_week, gender, category – corresponding column names
)
) as features,
label
from
purchase_history
;

at org.apache.hadoop.hive.ql.exec.mr.ExecMapper.close(ExecMapper.java:211)
    at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:61)
    at org.apache.hadoop.hive.ql.exec.mr.ExecMapRunner.run(ExecMapRunner.java:37)
    at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:465)
    at org.apache.hadoop.mapred.MapTask.run(MapTask.java:349)
    at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:174)
    at java.security.AccessController.doPrivileged(Native Method)
    at javax.security.auth.Subject.doAs(Subject.java:422)
    at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1729)
    at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:168)
Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: Error evaluating id
    at org.apache.hadoop.hive.ql.exec.vector.VectorSelectOperator.process(VectorSelectOperator.java:149)
    at org.apache.hadoop.hive.ql.exec.Operator.vectorForward(Operator.java:966)
    at org.apache.hadoop.hive.ql.exec.Operator.forward(Operator.java:939)
    at org.apache.hadoop.hive.ql.exec.TableScanOperator.process(TableScanOperator.java:125)
    at org.apache.hadoop.hive.ql.exec.vector.VectorMapOperator.closeOp(VectorMapOperator.java:990)
    at org.apache.hadoop.hive.ql.exec.Operator.close(Operator.java:733)
    at org.apache.hadoop.hive.ql.exec.mr.ExecMapper.close(ExecMapper.java:193)
    ... 9 more
Caused by: java.lang.RuntimeException: org.apache.hadoop.hive.ql.exec.UDFArgumentException: argument must be a constant value: array<string>
    at org.apache.hadoop.hive.ql.exec.vector.udf.VectorUDFAdaptor.evaluate(VectorUDFAdaptor.java:106)
    at org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression.evaluateChildren(VectorExpression.java:271)
    at org.apache.hadoop.hive.ql.exec.vector.udf.VectorUDFAdaptor.evaluate(VectorUDFAdaptor.java:111)
    at org.apache.hadoop.hive.ql.exec.vector.VectorSelectOperator.process(VectorSelectOperator.java:146)
    ... 15 more
Caused by: org.apache.hadoop.hive.ql.exec.UDFArgumentException: argument must be a constant value: array<string>
    at hivemall.utils.hadoop.HiveUtils.getConstStringArray(HiveUtils.java:502)
    at hivemall.ftvec.trans.QuantitativeFeaturesUDF.initialize(QuantitativeFeaturesUDF.java:80)
    at org.apache.hadoop.hive.ql.exec.vector.udf.VectorUDFAdaptor.init(VectorUDFAdaptor.java:89)
    at org.apache.hadoop.hive.ql.exec.vector.udf.VectorUDFAdaptor.evaluate(VectorUDFAdaptor.java:104)
    ... 18 more

1    "price:600.0","day of week#Saturday","gender#male","category#book"    1
2    "price:4800.0","day of week#Friday","gender#female","category#sports"0
3    "price:18000.0","day of week#Friday","gender#other","category#entertainment"    0
4    "price:200.0","day of week#Thursday","gender#male","category#food"    0
5    "price:1000.0","day of week#Wednesday","gender#female","category#electronics"    1

最佳答案

尝试创建不具有所有并集的表:

create table if not exists purchase_history as

select id,day_of_week,gender,price,category,label
from
(
select stack(5,
1, "Saturday" , "male"   , 600  , "book"          , 1,
2, "Friday"   , "female" , 4800 , "sports"        , 0,
3, "Friday"   , "other"  , 18000, "entertainment" , 0,
4, "Thursday" , "male"   , 200  , "food"          , 0,
5, "Wednesday", "female" , 1000 , "electronics"   , 1
) as ( id,day_of_week,gender,price,category,label)
)s;

https://stackoverflow.com/questions/56171275/