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        "author": "Raffaele Sena",
        "author_email": "raff367@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Environment :: Console",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.6",
            "Programming Language :: Python :: 2.7",
            "Topic :: Database :: Front-Ends",
            "Topic :: Internet",
            "Topic :: Internet :: WWW/HTTP :: Indexing/Search",
            "Topic :: Utilities"
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        "description": "elseql\n======\nYou know, for Query\n-------------------\nA SQL-like command line / REPL client for ElasticSearch\n\n### USAGE\n\n    elseql [--debug] [--port=host:port] \n\n### COMMANDS\n\n* select - see SEARCH SYNTAX\n* describe [index]\n* set options [on|off]\n* help\n\n### SEARCH SYNTAX\n\n    SELECT {fields}\n        [FACETS facet-fields]\n        [SCRIPT script-field = 'script']\n        FROM index\n        [WHERE where-condition]\n        [FILTER filter-condition]\n        [ORDERY BY order-fields]\n        [LIMIT [start,] count]\n\nwhere:\n    fields: '*' or comma-separated list of field names to be returned\n\n    facet-fields: comma-separated list of fields to execute a facet query on\n\n    script-field: name of script field, to be used in select clause\n    script: ElasticSearch script\n\n    index: index to query\n\n    where-condition:\n        {field-name} [ = != > >= < <= ] {value}\n        {field-name} LIKE {value}\n        {field-name} IN (value1, value2, ...)\n        {field-name} BETWEEN {min-value} AND {max-value}\n        NOT {where-condition}\n        {where-condition} AND {where-condition}\n        {where-condition} OR {where-condition}\n\n    or where-condition:\n        'query in Lucene syntax'\n\n    filter-condition: \n        QUERY {where-condition} - query filter, same syntax as where condition\n        EXIST {field-name}      - exists field filter\n        MISSING {field.name}    - missing field filter\n\n    order-fields: comma-separated list of {field-name} [ASC | DESC]\n\n    start: start index for pagination\n    count: maximum number of returned results\n\nA special case for LIMIT start,count allows to do a \"scroll\" query (i.e. results will be returned in batches):\n\n    start: -1 - enable \"scroll\" query\n    count: batch size - the query will return {count} results (actually {count} per shard) and will be repeated until all results are returned.\n\nThis is very useful when you are expecting large result sets (or you are doing a full table scan). Note that in\n\"scroll\" mode sort and facets are disabled.\n\n### INSTALLATION\n\nFrom pypi:\n\n\tsudo easy_install elseql\nor:\n\n\tsudo pip install elseql\n\nWith python and setuptools installed:\n\n\tsudo python setup.py install\n\nYou can also run the command without installing as:\n\n\tpython -m elseql.elseql\n\nTo do this you will need the pyparsing, rawes and cmd2 packages installed, that are automatically installed in the previous step.\n\n\tsudo easy_install pyparsing\n\tsudo easy_install rawes\n        sudo easy_install cmd2\n\nThe cmd2 package add a few extra features \"command-line\" related features. The most useful is redirection:\n\n\telsesql> select id,field1,field2 from index where condition > result.csv\n\nNote that because '>' is used for redirection you'll need to use GT in the where clause insted (also available LT, GTE, LTE)\n\n### SEE ALSO\n\nhttp://elasticsearch.org/, You know, for Search\n",
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        "license": "MIT",
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        "name": "elseql",
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