Aly Sivji
124 lines
2.9 KiB
ReStructuredText
124 lines
2.9 KiB
ReStructuredText
.. _helpers:
|
|
|
|
Helpers
|
|
=======
|
|
|
|
Collection of simple helper functions that abstract some specifics or the raw
|
|
API.
|
|
|
|
|
|
Bulk helpers
|
|
------------
|
|
|
|
There are several helpers for the ``bulk`` API since its requirement for
|
|
specific formatting and other considerations can make it cumbersome if used directly.
|
|
|
|
All bulk helpers accept an instance of ``Elasticsearch`` class and an iterable
|
|
``actions`` (any iterable, can also be a generator, which is ideal in most
|
|
cases since it will allow you to index large datasets without the need of
|
|
loading them into memory).
|
|
|
|
The items in the ``action`` iterable should be the documents we wish to index
|
|
in several formats. The most common one is the same as returned by
|
|
:meth:`~elasticsearch.Elasticsearch.search`, for example:
|
|
|
|
.. code:: python
|
|
|
|
{
|
|
'_index': 'index-name',
|
|
'_type': 'document',
|
|
'_id': 42,
|
|
'_routing': 5,
|
|
'pipeline': 'my-ingest-pipeline',
|
|
'_source': {
|
|
"title": "Hello World!",
|
|
"body": "..."
|
|
}
|
|
}
|
|
|
|
Alternatively, if `_source` is not present, it will pop all metadata fields
|
|
from the doc and use the rest as the document data:
|
|
|
|
.. code:: python
|
|
|
|
{
|
|
"_id": 42,
|
|
"_routing": 5,
|
|
"title": "Hello World!",
|
|
"body": "..."
|
|
}
|
|
|
|
The :meth:`~elasticsearch.Elasticsearch.bulk` api accepts ``index``, ``create``,
|
|
``delete``, and ``update`` actions. Use the ``_op_type`` field to specify an
|
|
action (``_op_type`` defaults to ``index``):
|
|
|
|
.. code:: python
|
|
|
|
{
|
|
'_op_type': 'delete',
|
|
'_index': 'index-name',
|
|
'_type': 'document',
|
|
'_id': 42,
|
|
}
|
|
{
|
|
'_op_type': 'update',
|
|
'_index': 'index-name',
|
|
'_type': 'document',
|
|
'_id': 42,
|
|
'doc': {'question': 'The life, universe and everything.'}
|
|
}
|
|
|
|
|
|
Example:
|
|
~~~~~~~~
|
|
|
|
Lets say we have an iterable of data. Lets say a list of words called ``mywords``
|
|
and we want to index those words into individual documents where the structure of the
|
|
document is like ``{"word": "<myword>"}``.
|
|
|
|
.. code:: python
|
|
|
|
def gendata():
|
|
mywords = ['foo', 'bar', 'baz']
|
|
for word in mywords:
|
|
yield {
|
|
"_index": "mywords",
|
|
"_type": "document",
|
|
"doc": {"word": word},
|
|
}
|
|
|
|
bulk(es, gendata())
|
|
|
|
|
|
For a more complete and complex example please take a look at
|
|
https://github.com/elastic/elasticsearch-py/blob/master/example/load.py#L76-L130
|
|
|
|
.. note::
|
|
|
|
When reading raw json strings from a file, you can also pass them in
|
|
directly (without decoding to dicts first). In that case, however, you lose
|
|
the ability to specify anything (index, type, even id) on a per-record
|
|
basis, all documents will just be sent to elasticsearch to be indexed
|
|
as-is.
|
|
|
|
|
|
.. py:module:: elasticsearch.helpers
|
|
|
|
.. autofunction:: streaming_bulk
|
|
|
|
.. autofunction:: parallel_bulk
|
|
|
|
.. autofunction:: bulk
|
|
|
|
|
|
Scan
|
|
----
|
|
|
|
.. autofunction:: scan
|
|
|
|
|
|
Reindex
|
|
-------
|
|
|
|
.. autofunction:: reindex
|