Thank you for looking into this issue. I was planning to debug issue this
week but looks like you already figured it out :)
I will follow issue on github to know more about fix.

--
Thanks

On Wed, Feb 20, 2019 at 11:13 AM Ryan Blue <rb...@netflix.com> wrote:

> Sudsport,
>
> Good catch here, and thank you for the gist that reproduces the issue.
>
> The problem happens when pushing predicates down to manifest files.
> Manifests keep track of the schema and partition spec that was used to
> write the manifest. The reader currently uses that schema when converting
> and binding predicates to evaluate on the partition data in the manifest.
> So this is a bug where we haven't passed the current table schema down to
> the manifest reader.
>
> I'll open an issue for it and fix this. Thanks!
>
> rb
>
> On Fri, Feb 15, 2019 at 11:34 AM suds <sudssf2...@gmail.com> wrote:
>
>> Thanks for reply Ryan.
>>
>> I created gist with code example
>>
>> https://gist.github.com/sudssf/e5f2de7463487f98c0a269221bbe0f1a
>>
>> Please let me know if I am not using API correctly.
>>
>>
>> On Thu, Feb 14, 2019 at 5:38 PM Ryan Blue <rb...@netflix.com> wrote:
>>
>>> Sudsport,
>>>
>>> I'm wondering if you had the table cached somewhere? Those renames
>>> should work. My guess is that the query used a table version that was out
>>> of date.
>>>
>>> Can you put together a minimal script that reproduces the error and open
>>> an issue? That way I can fix it.
>>>
>>> rb
>>>
>>> On Thu, Feb 14, 2019 at 3:01 PM sudsport s <sudssf2...@gmail.com> wrote:
>>>
>>>> Adding dev@iceberg.apache.org
>>>>
>>>>
>>>> On Thu, Feb 14, 2019 at 3:00 PM sudsport s <sudssf2...@gmail.com>
>>>> wrote:
>>>>
>>>>> HI I am doing some testing with schema evolution.  I looked at
>>>>> testSchemaUpdate method and SchemaUpdate class for reference.
>>>>>
>>>>>
>>>>> Here are steps I doing to test schema evolution validation
>>>>>
>>>>> initially data is created with following schema using  "key" as
>>>>> partition key
>>>>>
>>>>> root
>>>>>  |-- id: string (nullable = true)
>>>>>  |-- value: string (nullable = true)
>>>>>  |-- key: integer (nullable = false)
>>>>>  |-- value1: string (nullable = true)
>>>>>  |-- value2: string (nullable = true)
>>>>>
>>>>> schema update to rename value1 -> v1
>>>>>
>>>>> root
>>>>>  |-- id: string (nullable = true)
>>>>>  |-- value: string (nullable = true)
>>>>>  |-- key: integer (nullable = false)
>>>>>  |-- v1: string (nullable = true)
>>>>>  |-- value2: string (nullable = true)
>>>>>
>>>>> schema update to rename key -> newKey ( I know changing partition key
>>>>> is not good idea but this is a test :) )
>>>>>
>>>>> root
>>>>>  |-- id: string (nullable = true)
>>>>>  |-- value: string (nullable = true)
>>>>>  |-- newKey: integer (nullable = false)
>>>>>  |-- v1: string (nullable = true)
>>>>>  |-- value2: string (nullable = true)
>>>>>
>>>>>
>>>>> when I read data frame using spark I get  following schema
>>>>>
>>>>> root
>>>>>  |-- id: string (nullable = true)
>>>>>  |-- value: string (nullable = true)
>>>>>  |-- newKey: integer (nullable = false)
>>>>>  |-- v1: string (nullable = true)
>>>>>  |-- value2: string (nullable = true)
>>>>>
>>>>> but when I try to run query or scan using changed column in where
>>>>> clause I get following exception
>>>>>
>>>>>
>>>>> INFO TableScan: Scanning table /tmp/schema-evolution snapshot
>>>>> 1550184572006 created at 2019-02-14 14:49:32.189 with filter
>>>>> not_null(ref(name="v1"))
>>>>> Exception in thread "main"
>>>>> org.apache.spark.sql.catalyst.errors.package$TreeNodeException: execute,
>>>>> tree:
>>>>> Exchange SinglePartition
>>>>> +- *(1) HashAggregate(keys=[], functions=[partial_count(1)],
>>>>> output=[count#77L])
>>>>>    +- *(1) Project
>>>>>       +- *(1) Filter (isnotnull(v1#60) && (cast(v1#60 as int) = 0))
>>>>>          +- *(1) DataSourceV2Scan [v1#60],
>>>>> IcebergScan(table=/tmp/schema-evolution, type=struct<4: v1: optional
>>>>> string>, filters=[not_null(ref(name="v1"))])
>>>>>
>>>>> at
>>>>> org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:56)
>>>>> at
>>>>> org.apache.spark.sql.execution.exchange.ShuffleExchangeExec.doExecute(ShuffleExchangeExec.scala:119)
>>>>> at
>>>>> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
>>>>>
>>>>> Caused by: com.netflix.iceberg.exceptions.ValidationException: Cannot
>>>>> find field 'v1' in struct: struct<1: id: optional string, 2: value:
>>>>> optional string, 3: key: required int, 4: value1: optional string, 5:
>>>>> value2: optional string>
>>>>> at
>>>>> com.netflix.iceberg.exceptions.ValidationException.check(ValidationException.java:39)
>>>>> at
>>>>> com.netflix.iceberg.expressions.UnboundPredicate.bind(UnboundPredicate.java:46)
>>>>>
>>>>>
>>>>> I ran same query using where various combinations "v1 = 0" , "value1 =
>>>>> 0" , "key = 0" and "newKey = 0"
>>>>>
>>>>> What is best way to query data in iceberg table when schema is changed?
>>>>>
>>>>>
>>>>> following output from metadata json
>>>>>
>>>>>
>>>>> <       "name" : "key",
>>>>> ---
>>>>> >       "name" : "newKey",
>>>>> 25c25
>>>>> <       "name" : "value1",
>>>>> ---
>>>>> >       "name" : "v1",
>>>>>
>>>>>
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>>>>>
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>>>
>>>
>>> --
>>> Ryan Blue
>>> Software Engineer
>>> Netflix
>>>
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>
>
> --
> Ryan Blue
> Software Engineer
> Netflix
>

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