Wow,it's amazing.
I did #2 and it worked.
What's the problem?How to fix it?

2011/3/31 Scott Carey <[email protected]>

> 1: What version of Avro is this?
> 2:  If you change the schema you write with by making reversing the order
> of the fields of "sdf" (array, then string), are the results the same?
>
> This looks like a bug, file a JIRA ticket and if you have a reproducible
> test case or code snippet that reproduces, attach that to the ticket.
>
> Thanks!
>
> -Scott
>
> On 3/30/11 8:49 AM, "Felix Xu" <[email protected]> wrote:
>
> Hi, all. When I am trying to read avro file with a subset of that
> schema(because I do not need all the details).I meet a strange problem.
> 1.I write data using this schema:
> {
>     "name": "relation",
>     "type": "record",
>     "fields": [
>         {
>             "name": "timestamp",
>             "type": "long"
>         },
>         {
>             "name": "type",
>             "type": {
>                 "type": "map",
>                 "values":{
>                     "type" : "array",
> "items": {
> "type":"record",
> "name":"sdf",
> "fields": [
> {
> "name": "device",
> "type": "string"
> },
> {
> "name": "children",
> "type": {
> "type": "array",
> "items": "string"
> }
> }
> ]
> }
> }
>             }
>         }
>     ]
> }
>
> 2.Here is a JSONObject for that schema.
> {
> "timestamp":1234567890,
> "type":{
> "WMA":[
> {
> "device":"WMA1",
> "children":["WMB1","WMB2"]
> },
> {
> "device":"WMA2",
> "children":["WMB1","WMB2"]
> }
> ]
> }
>
> }
>
> 3.I write that record succefully.And it is okay if I use this schema for
> reading:
> {
>     "name": "relation",
>     "type": "record",
>     "fields": [
>         {
>             "name": "timestamp",
>             "type": "long"
>         },
>         {
>             "name": "type",
>             "type": {
>                 "type": "map",
>                 "values":{
>                     "type" : "array",
> "items": {
> "type":"record",
> "name":"sdf",
> "fields": [
> {
> "name": "children",
> "type": {
> "type": "array",
> "items": "string"
> }
> }
> ]
> }
> }
>             }
>         }
>     ]
> }
>
> the result is :
> {
> "timestamp":1234567890,
> "type":{
> "WMA":[
> {
> "children":["WMB1","WMB2"]
> },
> {
> "children":["WMB1","WMB2"]
> }
> ]
> }
>
> }
>
> 4.But if i want to igonre the "children" part instead of "device",  I use
> this schema for reading:
> {
>     "name": "relation",
>     "type": "record",
>     "fields": [
>         {
>             "name": "timestamp",
>             "type": "long"
>         },
>         {
>             "name": "type",
>             "type": {
>                 "type": "map",
>                 "values":{
>                     "type" : "array",
> "items": {
> "type":"record",
> "name":"sdf",
> "fields": [
> {
> "name": "device",
> "type": "string"
> }
> ]
> }
> }
>             }
>         }
>     ]
> }
>
> Unfortunately,I get exception:
>
> java.lang.ArrayIndexOutOfBoundsException: -8
> cause:java.lang.ArrayIndexOutOfBoundsException
> at org.apache.avro.io.BinaryDecoder.readInt(BinaryDecoder.java:122)
> at org.apache.avro.io.BinaryDecoder.skipString(BinaryDecoder.java:262)
> at
> org.apache.avro.io.ValidatingDecoder.skipString(ValidatingDecoder.java:113)
> at org.apache.avro.io.ParsingDecoder.skipTopSymbol(ParsingDecoder.java:60)
> at org.apache.avro.io.parsing.SkipParser.skipTo(SkipParser.java:71)
> at org.apache.avro.io.parsing.SkipParser.skipRepeater(SkipParser.java:83)
> at
> org.apache.avro.io.ValidatingDecoder.skipArray(ValidatingDecoder.java:195)
> at org.apache.avro.io.ParsingDecoder.skipTopSymbol(ParsingDecoder.java:70)
> at org.apache.avro.io.parsing.SkipParser.skipTo(SkipParser.java:71)
> at org.apache.avro.io.parsing.SkipParser.skipSymbol(SkipParser.java:93)
> at org.apache.avro.io.ResolvingDecoder.doAction(ResolvingDecoder.java:226)
> at org.apache.avro.io.parsing.Parser.advance(Parser.java:88)
> at
> org.apache.avro.io.ResolvingDecoder.readFieldOrder(ResolvingDecoder.java:127)
> at
> org.apache.avro.generic.GenericDatumReader.readRecord(GenericDatumReader.java:162)
> at
> org.apache.avro.generic.GenericDatumReader.read(GenericDatumReader.java:138)
> at
> org.apache.avro.generic.GenericDatumReader.readArray(GenericDatumReader.java:196)
> at
> org.apache.avro.generic.GenericDatumReader.read(GenericDatumReader.java:140)
> at
> org.apache.avro.generic.GenericDatumReader.readMap(GenericDatumReader.java:233)
> at
> org.apache.avro.generic.GenericDatumReader.read(GenericDatumReader.java:141)
> at
> org.apache.avro.generic.GenericDatumReader.readRecord(GenericDatumReader.java:167)
> at
> org.apache.avro.generic.GenericDatumReader.read(GenericDatumReader.java:138)
> at
> org.apache.avro.generic.GenericDatumReader.read(GenericDatumReader.java:129)
> at org.apache.avro.file.DataFileStream.next(DataFileStream.java:236)
> at org.apache.avro.file.DataFileStream.next(DataFileStream.java:223)
> at AvroUtilTest.read(AvroUtilTest.java:77)
> at AvroUtilTest.main(AvroUtilTest.java:61)
>
>

Reply via email to