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JSON Implementation is not standard #46
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Hi,
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It seems like the problem might lie in changing a field's type, but it Sorry about the shoddy bug report; I wrote this when I was way too tired. |
Fist of all, I prefer "shoddy" bug reports than no bug reports :). They usually uncover something that can be simplified is possible. Regarding your first point, which version are you running against, is is vanilla 0.4 or master? |
I have high standards for my bug reports ;). But I do suspect something odd is I am running against 0.4.0. I'll look into upgrading to the master. Do you have These are probably unrelated, but here are various snippets of information that
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If you can, it would be great if you can download master and check. The download section has a link to master, and instructions on how to build it. Some changes done in master include much improved support for mappings, support for chunked http requests (though, for performance reasons, you should probably do without). (Vizzini said) go back to the beginning. Do you define explicit mapping with type string, and then try and index a float number to it? or maybe rely on the first indexable document to set the field to type string, and then get the float parsing exception? |
Will do on the master version. No mappings were defined. Its possible that the field type changed (ie I indexed it one way then changed), but I do not get a float parse exception. |
So, I took a little time to test the master and I definitely don't see this issue. We'll go ahead and close this and I will keep an eye out. Thanks for the time and kepp up the good work. |
cool!, thanks for the effort. |
I noticed the documentation recommends a non-durable local resource for the Elasticsearch data path. Although this is acceptable for some deployments it might be worth warning people that the path is not durable and there is a potential for data loss, even with replicas data loss is theoretically possible. ``` # recommended path.data: /mnt/resource/elasticsearch/data ``` Alternatively the user could attach and use data disks which do come with a significant performance tradeoff, but premium storage options with higher IOPS have been announced and are right around the corner. Closes #46.
Claimed issue 23044
Systemd consistent with Puppet
With this commit we measure maximum throughput in a separate step. This ensures that the system shows less fluctuations in throughput when in throttled mode. Relates elastic#46
Occasionally executing night rally may fail because a user forgot a shell or a less command resulting in open files under the races data volume directory. In this case the Ansible role fails in the subsequent task while attempting to unmount the disk volume[1]. Terminate processes with open file descriptors against the data disk volume when running the initialize-data-disk/encryption-at-rest fixtures. [1] https://groups.google.com/a/elastic.co/d/msg/build-reply/ZjV86sd4V5g/gYNum30BAgAJ Relates elastic#46
Among other problems, I have noticed the following:
"error" : "Index[...] Shard[1] ; nested: Failed to parse; nested: Current token (VALUE_STRING) not numeric, can not use numeric value accessors\n at [Source: {..., "f": "1.0",...}; line: 1, column: 32]; "
I tested this with json generated in the python standard standard package, which is confirmed to be compatible with in-browser json and php json implementations. From the tracebacks I have seen, the problem is either in the JsonObectMapper or possibly the flexjson package, but I haven't looked into it in detail.
Let me know if you need some more examples.
Thanks for the great project!
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