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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