You have a type - should be "default" not "defualt"

On 3/21/14 8:37 PM, Brian Stempin wrote:
Hi Costin,
Thanks for the response -- that sounds like what I need.  I re-ran my job with 
a mapping that included
dynamic_templates, and I'm still having issues.  Here's my mapping...am I using 
dynamic_templates correctly?

Thanks for all of your help so far,
Brian

curl -XPUT 'http://localhost:9200/dau/log/_mapping?pretty' -d '
{
     "log" : {
         "properties" : {
"csUriParams" : {
                 "type" : "object",
                 "dynamic_templates" : [{
                     "defualt" : {
                         "match" : "*",
                         "match_mapping_type" : "string",
                         "mapping" : {
                             "type" : "string",
                             "index" : "not_analyzed"
                         }
                     }
                 }],
                 "properties" : {
        "aoi" : {"type" : "date", "ignore_malformed" : "true"},
            "zoneid" : {"type" : "long", "ignore_malformed" : "true"},
            "ftr" : {"type" : "date", "ignore_malformed" : "true"},
            "pid" : {"type" : "string", "index" : "not_analyzed"},
            "cid" : {"type" : "string", "index" : "not_analyzed"},
            "ext" : {"type" : "string", "index" : "not_analyzed"},
                     "systemid" : {"type" : "string", "index" : "not_analyzed"}
    }
             },
"rawLog" : {
                 "type" : "object",
                 "dynamic_templates" : [{
                     "defualt" : {
                         "match" : "*",
                         "match_mapping_type" : "string",
                         "mapping" : {
                             "type" : "string",
                             "index" : "not_analyzed"
                         }
                     }
                 }],
                 "properties" : {
                     "datetime" : {"type" : "date", "format" : "date_hour_minute_second", 
"ignore_malformed" : "true"},
                "cs(User-Agent)" : {"type" : "string", "index" : 
"not_analyzed"},
                     "cs-ip" : {"type" : "string", "index" : "not_analyzed"},
                     "cs-uri" : {"type" : "string"},
                     "os" : {"type" : "string", "index" : "not_analyzed"},
                     "browser" : {"type" : "string", "index" : "not_analyzed"}
    }
             }
         }
     }
}
'


On Thu, Mar 20, 2014 at 2:12 PM, Costin Leau <[email protected] 
<mailto:[email protected]>> wrote:

    Sure - take a look at dynamic_templates - you define one under your 
index/type and specify the match for your field.
    You can either define the mapping for the fields that you want and leave 
the so-called catch-all (*) directive last
    or, if you have type of naming convention, use that:

    
http://www.elasticsearch.org/__guide/en/elasticsearch/__reference/current/mapping-__root-object-type.html#___dynamic_templates
    
<http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/mapping-root-object-type.html#_dynamic_templates>



    On 3/20/14 6:32 PM, Brian Stempin wrote:

        That's the problem -- it's a web log that contains a URL that could 
have literally anything in it.  Anyone could
        put a
        base64 value as a random query parameter.  I could have the M/R job 
ignore all fields that I don't explicitly
        expect,
        but that's not very flexible and prevents me from spotting possible 
abuse or user-error.  Is there any way for me to
        disable ES's type-guessing or to provide a default guess?  I'd rather 
have ES default to a string than to fail a
        M/R job
        because its type-guess was wrong.

        Brian


        On Thu, Mar 20, 2014 at 12:26 PM, Costin Leau <[email protected] 
<mailto:[email protected]>
        <mailto:[email protected] <mailto:[email protected]>>__> wrote:

             Then what you could do is to minimize the bulk size to say 100 
documents, turn on logging and run your data
        through.
             This way you can catch the 'special' document in the act.

             As for expectations - Elasticsearch tries to guess the field type 
by looking at its value - it seems the base64
             entry looks like a date, hence the error. You can avoid this by 
defining the field (either directly or
        through a
             template) in your mapping so it always gets mapped to a string.
             As a rule of thumb, whenever you want full control over the index, 
mapping is the way to do it.



             On 3/20/14 6:10 PM, Brian Stempin wrote:

                 I have unit tests for this MR job, and they show that the JSON 
output is a string as I'd expect, so
        Gson is most
                 likely
                 not the cause.

                 I'm hesitant to show more code (owned by the work-place), but 
I can describe it a little bit further:

                    * The mapper gets a W3C log entry
                    * The log entry is broken into its components and put into 
document X
                    * The request URL is then taken and broken down into its 
query parameters and the key-value pairs
        are put
                 into document Y
                    * Some elements are then explicitly filtered from X and Y
                    * Those two documents are placed inside of document Z, 
which is ultimately what is serialized and
        sent to ES


                 We do have a base64 encoded param that we expect and handle 
appropriately.  In this case, someone most
        likely
                 sent it as
                 the wrong param name, hence why its making its way into 
document Y without further processing.  Since
        its being
                 sent as
                 a name that's not listed in the mapping, I expect it to just 
be treated as a string.

                 The only reason that I chose to go the Gson route vs building 
MapWritables is that building
        MapWritables is terribly
                 verbose.  Also, it comes with the overhead of having to wrap 
each String with a Text type, which just
        seems silly.
                    Using the built-in JSON serializer is just not convenient 
in this case.

                 Brian


                 On Thu, Mar 20, 2014 at 11:18 AM, Costin Leau <[email protected] 
<mailto:[email protected]>
        <mailto:[email protected] <mailto:[email protected]>>
                 <mailto:[email protected] <mailto:[email protected]> 
<mailto:[email protected]
        <mailto:[email protected]>>__>__> wrote:

                      My guess is that GSON adds the said field in its result. 
The base64 suggests that there's some
        binary data
                 in the mix.

                      By the way, can you show up more of your code - any 
reason why you create the JSON yourself rather
        than
                 just pass
                      logEntryMap to Es-Hadoop?
                      It can create the json for you - which is what I 
recommend; unless you have the JSON in HDFS, it's
        best to
                 rely on
                      es-hadoop to do it instead of an external tool.

                      Cheers,


                      On 3/20/14 4:48 PM, Brian Stempin wrote:

                          Hi,
                          All I'm doing is building a map and passing that to 
Gson for serialization.  A snippet from my
        map method:

                          logEntryMap.put("cs(User-______Agent)", values[9]);
                          context.write(NullWritable.______get(), new 
Text(gson.toJson(logEntryMap))______);



                          values[] is a String array.  Everything that goes 
into the map that gets serialized is a string.

                          I do have es.input.json set to true.  This failure 
doesn't occur until >100,000,000 records
        are in the
                 index, so its
                          happening late in the load process.  The part that I 
find strange is that the field in
        question isn't in my
                          mapping, and
                          I've not touched the default mapping.  I'm not sure 
why it would try to parse it as anything
        other than
                 a string.

                          I'll turn on TRACE logging and see what happens.

                          Brian


                          On Wed, Mar 19, 2014 at 5:35 PM, Costin Leau 
<[email protected]
        <mailto:[email protected]> <mailto:[email protected] 
<mailto:[email protected]>>
                 <mailto:[email protected] <mailto:[email protected]> 
<mailto:[email protected]
        <mailto:[email protected]>>__>
                          <mailto:[email protected] 
<mailto:[email protected]> <mailto:[email protected]
        <mailto:[email protected]>> <mailto:[email protected] 
<mailto:[email protected]>
                 <mailto:[email protected] 
<mailto:[email protected]>>__>__>__> wrote:

                               Hi,

                               How do you pass the json to es-hadoop? Do you 
have an example? By the way, you can enable
        TRACE
                 logging on
                               org.elasticsearch.hadoop and see everything that 
es-hadoop does, including the data that
        goes over
                 the wire.
                               My guess is that the conversion of logs to JSON 
creates some extra artifacts which are
        later on
                 interpreted as
                               Writable object (instead of raw JSON) by ES 
Hadoop.
                               Make sure you tell es-hadoop that its source 
it's json (through es.input.json set to true).
                               The logs will likely confirm (or not) the above 
:)

                               Cheers,


                               On 3/19/14 11:14 PM, Brian Stempin wrote:

                                   Hi List,
                                   I have an ES cluster that takes in some data 
from our logs.  We use Hadoop to parse the
                 individual log
                          entries
                                   into JSON
                                   strings, which does a bulk insert using ES's 
output format.  For whatever reason, ES
        attempts
                 to parse
                          base64
                                   strings as
                                   a dates and fails.  Here's a line from one 
of my Hadoop logs:

                                        
java.lang.________IllegalStateException: Found unrecoverable error [Bad
        Request(400) -



                                   MapperParsingException[failed to parse 
[csUriParams.d]]; nested:
        MapperParsingException[failed
                 to parse
                          date
                                   field [REDACTED BASE64 STRING], tried both 
date format [dateOptionalTime], and timestamp
                 number with
                          locale []];
                                   nested: 
IllegalArgumentException[________Invalid format:
                 "________Y2lkPURFJml0ZW1zPWE2NTJjLXgxZT________Fj..."]; ];
                          Bailing out..

                                            at
                 
org.elasticsearch.hadoop.rest.________RestClient.______retryFailedEntries(________RestClient.java:145)

                                            at
        
org.elasticsearch.hadoop.rest.________RestClient.bulk(____RestClient.____java:120)

                                            at
                 
org.elasticsearch.hadoop.rest.________RestRepository.__sendBatch(________RestRepository.java:147)




                                            <SNIP>


                                   csUriParams.d does not appear in my mapping, 
so I never explicitly asked for it to be
        treated
                 as a date.

                                   Any idea why ES is trying to treat it as a 
date?

                                   Thanks,
                                   Brian

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