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 My guess is that the query used a table version that was out of date.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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-- 
Ryan Blue
Software Engineer
Netflix

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