parallel-es2csv 0.1.10

注

这仍然是早期的发展和有点粗糙的边缘。 任何错误报告、功能建议等都非常感谢。：）

安装和使用

安装 因为这是pypi上提供的python包，所以您可以像 任何其他python包。

# on modern systems with Python you can install with pip
$ pip install parallel-es2csv
# on older systems you can install using easy_install
$ easy_install parallel-es2csv

用法 命令应该主要是自我记录它们的定义， 通过help命令提供。

$ parallel-es2csv
usage: parallel-es2csv -u <elasticsearch_url> -i <[list_of_index]> [-n <no_of_workers>][-o <output_folder>]

arguments:
  -h, --help            show this help message and exit
  -i INDICES [INDICES ...], --indices INDICES [INDICES ...]
                        ES indices to export.
  -u URL, --url URL     Elasticsearch host URL. Default is
                        http://localhost:9200.
  -a AUTH, --auth AUTH  Elasticsearch basic authentication in the form of
                        username:pwd.
  -D DOC_TYPE [DOC_TYPE ...], --doc_types DOC_TYPE [DOC_TYPE ...]
                        Document type(s).
  -o OUTPUT_FOLDER, --output_folder OUTPUT_FOLDER
                        Output folder path.
  -f FIELDS [FIELDS ...], --fields FIELDS [FIELDS ...]
                        List of selected fields in output. Default is
                        ['_all'].
  -m INTEGER, --max INTEGER
                        Maximum number of results to return. Default is 0.
  -s INTEGER, --scroll_size INTEGER
                        Scroll size for each batch of results. Default is 100.
  -t INTEGER, --timeout INTEGER
                        Timeout in seconds. Default is 60.
  -e, --meta_fields     Add meta-fields in output.
  -n NO_OF_WORKERS, --no_of_workers NO_OF_WORKERS
                        No. or parallel scroll from Elasticsearch, using
                        Multiprocess
  -v, --version         Show version and exit.
  --debug               Debug mode on.