326 lines
11 KiB
Python
326 lines
11 KiB
Python
# Licensed to Elasticsearch under one or more contributor
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# license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright
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# ownership. Elasticsearch licenses this file to you under
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# the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on
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# an 'AS IS' BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,
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# either express or implied. See the License for the specific
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# language governing permissions and limitations under the License.
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import random
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import os
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import tempfile
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import shutil
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import subprocess
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import time
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import argparse
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import logging
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import sys
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import re
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if sys.version_info[0] > 2:
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print('%s must use python 2.x (for the ES python client)' % sys.argv[0])
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from datetime import datetime
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try:
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from elasticsearch import Elasticsearch
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from elasticsearch.exceptions import ConnectionError
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from elasticsearch.exceptions import TransportError
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except ImportError as e:
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print('Can\'t import elasticsearch please install `sudo pip install elasticsearch`')
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sys.exit(1)
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# sometimes returns True
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def rarely():
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return random.randint(0, 10) == 0
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# usually returns True
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def frequently():
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return not rarely()
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# asserts the correctness of the given hits given they are sorted asc
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def assert_sort(hits):
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values = [hit['sort'] for hit in hits['hits']['hits']]
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assert len(values) > 0, 'expected non emtpy result'
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val = min(values)
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for x in values:
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assert x >= val, '%s >= %s' % (x, val)
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val = x
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# Indexes the given number of document into the given index
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# and randomly runs refresh, optimize and flush commands
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def index_documents(es, index_name, type, num_docs):
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logging.info('Indexing %s docs' % num_docs)
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for id in range(0, num_docs):
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es.index(index=index_name, doc_type=type, id=id, body={'string': str(random.randint(0, 100)),
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'long_sort': random.randint(0, 100),
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'double_sort' : float(random.randint(0, 100))})
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if rarely():
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es.indices.refresh(index=index_name)
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if rarely():
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es.indices.flush(index=index_name, force=frequently())
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if rarely():
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es.indices.optimize(index=index_name)
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logging.info('Flushing index')
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es.indices.flush(index=index_name)
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def run_basic_asserts(es, index_name, type, num_docs):
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count = es.count(index=index_name)['count']
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assert count == num_docs, 'Expected %r but got %r documents' % (num_docs, count)
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for _ in range(0, num_docs):
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random_doc_id = random.randint(0, num_docs-1)
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doc = es.get(index=index_name, doc_type=type, id=random_doc_id)
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assert doc, 'Expected document for id %s but got %s' % (random_doc_id, doc)
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assert_sort(es.search(index=index_name,
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body={
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'sort': [
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{'double_sort': {'order': 'asc'}}
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]
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}))
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assert_sort(es.search(index=index_name,
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body={
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'sort': [
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{'long_sort': {'order': 'asc'}}
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]
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}))
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def build_version(version_tuple):
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return '.'.join([str(x) for x in version_tuple])
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def build_tuple(version_string):
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return [int(x) for x in version_string.split('.')]
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def start_node(version, release_dir, data_dir, tcp_port, http_port):
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logging.info('Starting node from %s on port %s/%s' % (release_dir, tcp_port, http_port))
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cmd = [
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os.path.join(release_dir, 'bin/elasticsearch'),
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'-Des.path.data=%s' % data_dir,
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'-Des.path.logs=logs',
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'-Des.cluster.name=bwc_index_' + version,
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'-Des.network.host=localhost',
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'-Des.discovery.zen.ping.multicast.enabled=false',
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'-Des.script.disable_dynamic=true',
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'-Des.transport.tcp.port=%s' % tcp_port,
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'-Des.http.port=%s' % http_port
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]
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if version.startswith('0.') or version.startswith('1.0.0.Beta') :
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cmd.append('-f') # version before 1.0 start in background automatically
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return subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
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def create_client(http_port, timeout=30):
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logging.info('Waiting for node to startup')
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for _ in range(0, timeout):
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# TODO: ask Honza if there is a better way to do this?
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try:
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client = Elasticsearch([{'host': '127.0.0.1', 'port': http_port}])
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client.cluster.health(wait_for_nodes=1)
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client.count() # can we actually search or do we get a 503? -- anyway retry
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return client
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except (ConnectionError, TransportError):
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pass
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time.sleep(1)
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assert False, 'Timed out waiting for node for %s seconds' % timeout
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def generate_index(client, version):
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client.indices.delete(index='test', ignore=404)
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num_shards = random.randint(1, 10)
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num_replicas = random.randint(0, 1)
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logging.info('Create single shard test index')
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mappings = {}
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if not version.startswith('2.'):
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# TODO: we need better "before/onOr/after" logic in python
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# backcompat test for legacy type level analyzer settings, see #8874
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mappings['analyzer_type1'] = {
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'analyzer': 'standard',
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'properties': {
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'string_with_index_analyzer': {
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'type': 'string',
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'index_analyzer': 'standard'
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},
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'completion_with_index_analyzer': {
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'type': 'completion',
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'index_analyzer': 'standard'
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}
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}
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}
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mappings['analyzer_type2'] = {
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'index_analyzer': 'standard',
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'search_analyzer': 'keyword',
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'search_quote_analyzer': 'english',
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}
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mappings['index_name_and_path'] = {
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'properties': {
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'parent_multi_field': {
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'type': 'string',
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'path': 'just_name',
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'fields': {
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'raw': {'type': 'string', 'index': 'not_analyzed', 'index_name': 'raw_multi_field'}
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}
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},
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'field_with_index_name': {
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'type': 'string',
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'index_name': 'custom_index_name_for_field'
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}
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}
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}
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mappings['meta_fields'] = {
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'_id': {
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'path': 'myid'
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},
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'_routing': {
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'path': 'myrouting'
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}
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}
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mappings['custom_formats'] = {
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'properties': {
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'string_with_custom_postings': {
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'type': 'string',
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'postings_format': 'Lucene41'
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},
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'long_with_custom_doc_values': {
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'type': 'long',
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'doc_values_format': 'Lucene42'
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}
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}
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}
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client.indices.create(index='test', body={
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'settings': {
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'number_of_shards': 1,
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'number_of_replicas': 0
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},
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'mappings': mappings
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})
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health = client.cluster.health(wait_for_status='green', wait_for_relocating_shards=0)
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assert health['timed_out'] == False, 'cluster health timed out %s' % health
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num_docs = random.randint(10, 100)
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index_documents(client, 'test', 'doc', num_docs)
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logging.info('Running basic asserts on the data added')
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run_basic_asserts(client, 'test', 'doc', num_docs)
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def snapshot_index(client, cfg):
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# Add bogus persistent settings to make sure they can be restored
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client.cluster.put_settings(body={
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'persistent': {
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'cluster.routing.allocation.exclude.version_attr': cfg.version
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}
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})
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client.indices.put_template(name='template_' + cfg.version.lower(), order=0, body={
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"template": "te*",
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"settings": {
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"number_of_shards" : 1
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},
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"mappings": {
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"type1": {
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"_source": { "enabled" : False }
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}
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},
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"aliases": {
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"alias1": {},
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"alias2": {
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"filter": {
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"term": {"version" : cfg.version }
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},
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"routing": "kimchy"
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},
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"{index}-alias": {}
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}
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})
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client.snapshot.create_repository(repository='test_repo', body={
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'type': 'fs',
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'settings': {
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'location': cfg.repo_dir
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}
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})
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client.snapshot.create(repository='test_repo', snapshot='test_1', wait_for_completion=True)
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client.snapshot.delete_repository(repository='test_repo')
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def compress_index(version, tmp_dir, output_dir):
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compress(tmp_dir, output_dir, 'index-%s.zip' % version, 'data')
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def compress_repo(version, tmp_dir, output_dir):
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compress(tmp_dir, output_dir, 'repo-%s.zip' % version, 'repo')
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def compress(tmp_dir, output_dir, zipfile, directory):
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abs_output_dir = os.path.abspath(output_dir)
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zipfile = os.path.join(abs_output_dir, zipfile)
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if os.path.exists(zipfile):
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os.remove(zipfile)
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logging.info('Compressing index into %s', zipfile)
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olddir = os.getcwd()
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os.chdir(tmp_dir)
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subprocess.check_call('zip -r %s %s' % (zipfile, directory), shell=True)
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os.chdir(olddir)
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def parse_config():
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parser = argparse.ArgumentParser(description='Builds an elasticsearch index for backwards compatibility tests')
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parser.add_argument('version', metavar='X.Y.Z',
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help='The elasticsearch version to build an index for')
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parser.add_argument('--releases-dir', '-d', default='backwards', metavar='DIR',
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help='The directory containing elasticsearch releases')
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parser.add_argument('--output-dir', '-o', default='src/test/resources/org/elasticsearch/bwcompat',
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help='The directory to write the zipped index into')
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parser.add_argument('--tcp-port', default=9300, type=int,
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help='The port to use as the minimum port for TCP communication')
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parser.add_argument('--http-port', default=9200, type=int,
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help='The port to use as the minimum port for HTTP communication')
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cfg = parser.parse_args()
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cfg.release_dir = os.path.join(cfg.releases_dir, 'elasticsearch-%s' % cfg.version)
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if not os.path.exists(cfg.release_dir):
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parser.error('ES version %s does not exist in %s' % (cfg.version, cfg.releases_dir))
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if not os.path.exists(cfg.output_dir):
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parser.error('Output directory does not exist: %s' % cfg.output_dir)
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cfg.tmp_dir = tempfile.mkdtemp()
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cfg.data_dir = os.path.join(cfg.tmp_dir, 'data')
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cfg.repo_dir = os.path.join(cfg.tmp_dir, 'repo')
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logging.info('Temp data dir: %s' % cfg.data_dir)
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logging.info('Temp repo dir: %s' % cfg.repo_dir)
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cfg.snapshot_supported = not (cfg.version.startswith('0.') or cfg.version == '1.0.0.Beta1')
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return cfg
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def main():
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logging.basicConfig(format='[%(levelname)s] [%(asctime)s] %(message)s', level=logging.INFO,
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datefmt='%Y-%m-%d %I:%M:%S %p')
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logging.getLogger('elasticsearch').setLevel(logging.ERROR)
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logging.getLogger('urllib3').setLevel(logging.WARN)
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cfg = parse_config()
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try:
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node = start_node(cfg.version, cfg.release_dir, cfg.data_dir, cfg.tcp_port, cfg.http_port)
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client = create_client(cfg.http_port)
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generate_index(client, cfg.version)
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if cfg.snapshot_supported:
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snapshot_index(client, cfg)
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finally:
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if 'node' in vars():
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logging.info('Shutting down node with pid %d', node.pid)
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node.terminate()
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time.sleep(1) # some nodes take time to terminate
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compress_index(cfg.version, cfg.tmp_dir, cfg.output_dir)
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if cfg.snapshot_supported:
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compress_repo(cfg.version, cfg.tmp_dir, cfg.output_dir)
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if __name__ == '__main__':
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try:
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main()
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except KeyboardInterrupt:
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print('Caught keyboard interrupt, exiting...')
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