Dra*_*ric 6 python pagination elasticsearch
我正在处理这里的pyes用法示例
我正在使用四个文档索引测试索引,然后使用不同的偏移量查询.在启动参数不会改变我的偏移,我继续得到同样的结果,无论它的价值.为什么会这样?
from pyes import *
conn = ES(["localhost:9200"])
try:
conn.delete_index('test-index')
except:
pass
conn.create_index('test-index')
mapping = {u'name': {'boost': 1.0,
'index': 'analyzed',
'store': 'yes',
'type': u'string',
"term_vector" : "with_positions_offsets"},
u'title': {'boost': 1.0,
'index': 'analyzed',
'store': 'yes',
'type': u'string',
"term_vector" : "with_positions_offsets"},
u'pos': {'store': 'yes',
'type': u'integer'},
u'uuid': {'boost': 1.0,
'index': 'not_analyzed',
'store': 'yes',
'type': u'string'}}
conn.put_mapping("test-type", {'properties':mapping}, ["test-index"])
conn.index({"name":"Joe Tester", "uuid":"11111", "position":1}, "test-index", "test-type", 1)
conn.index({"name":"Bill Baloney", "uuid":"22222", "position":2}, "test-index", "test-type", 2)
conn.index({"name":"Joe Joseph", "uuid":"33333", "position":3}, "test-index", "test-type", 3)
conn.index({"name":"Last Joe", "uuid":"44444", "position":4}, "test-index", "test-type", 4)
conn.refresh(["test-index"])
q = TermQuery("name", "joe")
r0 = conn.search(q, indices = ["test-index"], start=0, size=1)
r1 = conn.search(q, indices = ["test-index"], start=1, size=1)
r2 = conn.search(q, indices = ["test-index"], start=2, size=1)
print('0: {0}'.format(r0['hits']['hits']))
print('1: {0}'.format(r1['hits']['hits']))
print('2: {0}'.format(r2['hits']['hits']))
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输出:
$ python pagination.py
0: [{u'_score': 0.19178301, u'_type': u'test-type', u'_id': u'4', u'_source': {u'position': 4, u'name': u'Last Joe', u'uuid': u'44444'}, u'_index': u'test-index'}]
1: [{u'_score': 0.19178301, u'_type': u'test-type', u'_id': u'4', u'_source': {u'position': 4, u'name': u'Last Joe', u'uuid': u'44444'}, u'_index': u'test-index'}]
2: [{u'_score': 0.19178301, u'_type': u'test-type', u'_id': u'4', u'_source': {u'position': 4, u'name': u'Last Joe', u'uuid': u'44444'}, u'_index': u'test-index'}]
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我的pyes版本是0.16.0
问题在于请求是如何发送到 ES 的,尽管我仍然不清楚为什么失败。
而不是像我最初那样将查询直接发送到 ES:
r0 = conn.search(q, indexes = ["test-index"], start=0, size=1)
r1 = conn.search(q, indexes = ["test-index"], start=1, size=1)
r2 = conn.search(q, indexes = ["test-index"], start=2, size=1)
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我将查询包装在 pyes.query.Search 对象中:
r0 = conn.search(Search(q, start=0, size=1), indexes = ["test-index"])
r1 = conn.search(Search(q, start=1, size=1), indexes = ["test-index"])
r2 = conn.search(Search(q, start=2, size=1), indexes = ["test-index"])
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成功了,请参阅下面的输出:
0s: [{u'_score': 0.19178301, u'_type': u'test-type', u'_id': u'4', u'_source': {u'position': 4, u'name': u'Last Joe', u'uuid': u'44444'}, u'_index': u'test-index'}]
1s: [{u'_score': 0.19178301, u'_type': u'test-type', u'_id': u'1', u'_source': {u'position': 1, u'name': u'Joe Tester', u'uuid': u'11111'}, u'_index': u'test-index'}]
2s: [{u'_score': 0.19178301, u'_type': u'test-type', u'_id': u'3', u'_source': {u'position': 3, u'name': u'Joe Joseph', u'uuid': u'33333'}, u'_index': u'test-index'}]
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