Hi All ,
I am building a simple cube for test and using the binary build 0.7.1 . I
have following hive tables with columns.
fact_sales:
storeid int
itemid int
custid int
qty int
price double
dim_customer
custid int
name string
dim_item
itemid int
category string
brand string
color string
dim_store
storeid int
city string
state string
Please help me to answer following issues;
1. When I go to measure section and click on measure option , there is no
response , I want add measure on qty and price with sum
2. If I ignore and continue and try to save the cube I get an exception in
Kylin.log , I have checked the path is set correctly and HCatInputFormat this
file is present in hive-hcatalog-core-0.14.0.jar . Please let me know what can
I do to resolve this ?
3. Also I have another question since this is a test and data is small I have
not partitioned the fact table , is it ok to skip partition stage while cube
build ?
Exception
pool-4-thread-4]:[2015-02-24
19:26:32,577][ERROR][org.apache.kylin.job.impl.threadpool.DefaultScheduler$JobRunner.run(DefaultScheduler.java:134)]
- ExecuteException job:c3532a6f-97ea-474a-b36a-218dd517cedb
org.apache.kylin.job.exception.ExecuteException:
org.apache.kylin.job.exception.ExecuteException:
java.lang.NoClassDefFoundError:
org/apache/hive/hcatalog/mapreduce/HCatInputFormat
at
org.apache.kylin.job.execution.AbstractExecutable.execute(AbstractExecutable.java:102)
at
org.apache.kylin.job.impl.threadpool.DefaultScheduler$JobRunner.run(DefaultScheduler.java:132)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Caused by: org.apache.kylin.job.exception.ExecuteException:
java.lang.NoClassDefFoundError:
org/apache/hive/hcatalog/mapreduce/HCatInputFormat
The JSON is as below.
{
"name": "Retail_Cube",
"description": "",
"dimensions": [
{
"name": "RETAIL.FACT_SALES.STOREID",
"table": "RETAIL.FACT_SALES",
"hierarchy": false,
"derived": null,
"column": [
"STOREID"
],
"id": 1
},
{
"name": "RETAIL.FACT_SALES.ITEMID",
"table": "RETAIL.FACT_SALES",
"hierarchy": false,
"derived": null,
"column": [
"ITEMID"
],
"id": 2
},
{
"name": "RETAIL.FACT_SALES.CUSTID",
"table": "RETAIL.FACT_SALES",
"hierarchy": false,
"derived": null,
"column": [
"CUSTID"
],
"id": 3
}
],
"measures": [
{
"id": 1,
"name": "_COUNT_",
"function": {
"expression": "COUNT",
"returntype": "bigint",
"parameter": {
"type": "constant",
"value": 1
}
}
}
],
"rowkey": {
"rowkey_columns": [
{
"column": "STOREID",
"length": 0,
"dictionary": "true",
"mandatory": false
},
{
"column": "ITEMID",
"length": 0,
"dictionary": "true",
"mandatory": false
},
{
"column": "CUSTID",
"length": 0,
"dictionary": "true",
"mandatory": false
}
],
"aggregation_groups": [
[
"STOREID",
"ITEMID",
"CUSTID"
]
]
},
"notify_list": [],
"capacity": "",
"hbase_mapping": {
"column_family": [
{
"name": "f1",
"columns": [
{
"qualifier": "m",
"measure_refs": [
"_COUNT_"
]
}
]
}
]
},
"project": "RetailProject",
"model_name": "Retail_Cube"
}
Regards,
Santosh Akhilesh
Bangalore R&D
HUAWEI TECHNOLOGIES CO.,LTD.
www.huawei.com
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