Support for artificial documents #7530
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This adds the ability to the Term Vector API to generate term vectors for artifical documents, that is for documents not present in the index. Following a similar syntax to the Percolator API, a new 'doc' parameter is used, instead of '_id', that specifies the document of interest. The parameters '_index' and '_type' determine the mapping and therefore analyzers to apply to each value field.
| numbers have no meaning in this context. | ||
| numbers have no meaning in this context. By default, when requesting | ||
| term vectors of artificial documents, a shard to get the statistics from | ||
| is randomly selected. Use `routing` only to hit a particular shard. |
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Doesn't the term vectors API currently return statistics that are aggregated across all shards? Documentation suggests so?
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Nope it does not.
"The term and field statistics are not accurate. Deleted documents are not taken into account. The information is only retrieved for the shard the requested document resides in."
| private String routing; | ||
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| protected String preference; | ||
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| private static AtomicInteger randomInt = new AtomicInteger(0); |
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@alexksikes I left some comments |
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@jpountz Thanks for comments. We should decide on allowing dynamic mappings or not, and if not what would be the easiest way to implement it? I'd be in favor of disabling dynamic mapping and only returning the TVs from the fields found in the original mapping. That because there is just too much room for mistakes and unintended behaviors. Maybe @clintongormley has some ideas? |
| that is for documents not present in the index. The syntax is similar to the | ||
| <<search-percolate,percolator>> API. For example, the following request would | ||
| return the same results as in example 1. The mapping used is determined by the | ||
| `index` and `type`. |
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Can you leave a note about the fact that it can introduce new mappings?
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I left some comments but I think it is close |
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LGTM |
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This adds the ability to the Term Vector API to generate term vectors for artifical documents, that is for documents not present in the index. Following a similar syntax to the Percolator API, a new 'doc' parameter is used, instead of '_id', that specifies the document of interest. The parameters '_index' and '_type' determine the mapping and therefore analyzers to apply to each value field. Closes #7530
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This adds the ability to the Term Vector API to generate term vectors for artifical documents, that is for documents not present in the index. Following a similar syntax to the Percolator API, a new 'doc' parameter is used, instead of '_id', that specifies the document of interest. The parameters '_index' and '_type' determine the mapping and therefore analyzers to apply to each value field. Closes #7530
This was referenced Dec 8, 2014
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…m Vectors: Support for artificial documents #7530'
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…m Vectors: Support for artificial documents elastic#7530'
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This adds the ability to the Term Vector API to generate term vectors for
artifical documents, that is for documents not present in the index. Following
a similar syntax to the Percolator API, a new 'doc' parameter is used, instead
of '_id', that specifies the document of interest. The parameters '_index' and
'_type' determine the mapping and therefore analyzers to apply to each value
field.