def reindex(config, **kwargs):
"""
Recreate the Search Index.
"""
client = config.registry["elasticsearch.client"]
db = Session(bind=config.registry["sqlalchemy.engine"])
# We use a randomly named index so that we can do a zero downtime reindex.
# Essentially we'll use a randomly named index which we will use until all
# of the data has been reindexed, at which point we'll point an alias at
# our randomly named index, and then delete the old randomly named index.
# Create the new index and associate all of our doc types with it.
index_base = config.registry["elasticsearch.index"]
random_token = binascii.hexlify(os.urandom(5)).decode("ascii")
new_index_name = "{}-{}".format(index_base, random_token)
doc_types = config.registry.get("search.doc_types", set())
new_index = get_index(
new_index_name,
doc_types,
using=client,
shards=config.registry.get("elasticsearch.shards", 1),
replicas=config.registry.get("elasticsearch.replicas", 1),
)
new_index.create()
# From this point on, if any error occurs, we want to be able to delete our
# in progress index.
try:
db.execute(
""" BEGIN TRANSACTION
ISOLATION LEVEL SERIALIZABLE
READ ONLY
DEFERRABLE
"""
)
db.execute("SET statement_timeout = '600s'")
bulk(client, _project_docs(db))
except:
new_index.delete()
raise
finally:
db.rollback()
db.close()
# Now that we've finished indexing all of our data, we'll point the alias
# at our new randomly named index and delete the old index.
if client.indices.exists_alias(name=index_base):
to_delete = set()
actions = []
for name in client.indices.get_alias(name=index_base):
to_delete.add(name)
actions.append({"remove": {"index": name, "alias": index_base}})
actions.append({"add": {"index": new_index_name, "alias": index_base}})
client.indices.update_aliases({"actions": actions})
client.indices.delete(",".join(to_delete))
else:
client.indices.put_alias(name=index_base, index=new_index_name)
def reindex(config, **kwargs):
"""
Recreate the Search Index.
"""
client = config.registry["elasticsearch.client"]
db = Session(bind=config.registry["sqlalchemy.engine"])
number_of_replicas = config.registry.get("elasticsearch.replicas", 0)
refresh_interval = config.registry.get("elasticsearch.interval", "1s")
# We use a randomly named index so that we can do a zero downtime reindex.
# Essentially we'll use a randomly named index which we will use until all
# of the data has been reindexed, at which point we'll point an alias at
# our randomly named index, and then delete the old randomly named index.
# Create the new index and associate all of our doc types with it.
index_base = config.registry["elasticsearch.index"]
random_token = binascii.hexlify(os.urandom(5)).decode("ascii")
new_index_name = "{}-{}".format(index_base, random_token)
doc_types = config.registry.get("search.doc_types", set())
# Create the new index with zero replicas and index refreshes disabled
# while we are bulk indexing.
new_index = get_index(
new_index_name,
doc_types,
using=client,
shards=config.registry.get("elasticsearch.shards", 1),
replicas=0,
interval="-1",
)
# From this point on, if any error occurs, we want to be able to delete our
# in progress index.
try:
db.execute("SET statement_timeout = '600s'")
for _ in parallel_bulk(client, _project_docs(db)):
pass
except:
new_index.delete()
raise
finally:
db.rollback()
db.close()
# Now that we've finished indexing all of our data we can optimize it and
# update the replicas and refresh intervals.
client.indices.forcemerge(index=new_index_name)
client.indices.put_settings(index=new_index_name,
body={
"index": {
"number_of_replicas":
number_of_replicas,
"refresh_interval": refresh_interval,
}
})
# Point the alias at our new randomly named index and delete the old index.
if client.indices.exists_alias(name=index_base):
to_delete = set()
actions = []
for name in client.indices.get_alias(name=index_base):
to_delete.add(name)
actions.append({"remove": {"index": name, "alias": index_base}})
actions.append({"add": {"index": new_index_name, "alias": index_base}})
client.indices.update_aliases({"actions": actions})
client.indices.delete(",".join(to_delete))
else:
client.indices.put_alias(name=index_base, index=new_index_name)
def reindex(config, **kwargs):
"""
Recreate the Search Index.
"""
client = config.registry["elasticsearch.client"]
db = Session(bind=config.registry["sqlalchemy.engine"])
number_of_replicas = config.registry.get("elasticsearch.replicas", 0)
refresh_interval = config.registry.get("elasticsearch.interval", "1s")
# We use a randomly named index so that we can do a zero downtime reindex.
# Essentially we'll use a randomly named index which we will use until all
# of the data has been reindexed, at which point we'll point an alias at
# our randomly named index, and then delete the old randomly named index.
# Create the new index and associate all of our doc types with it.
index_base = config.registry["elasticsearch.index"]
random_token = binascii.hexlify(os.urandom(5)).decode("ascii")
new_index_name = "{}-{}".format(index_base, random_token)
doc_types = config.registry.get("search.doc_types", set())
shards = config.registry.get("elasticsearch.shards", 1)
# Create the new index with zero replicas and index refreshes disabled
# while we are bulk indexing.
new_index = get_index(
new_index_name,
doc_types,
using=client,
shards=shards,
replicas=0,
interval="-1",
)
new_index.create(wait_for_active_shards=shards)
# From this point on, if any error occurs, we want to be able to delete our
# in progress index.
try:
db.execute("SET statement_timeout = '600s'")
for _ in parallel_bulk(client, _project_docs(db)):
pass
except: # noqa
new_index.delete()
raise
finally:
db.rollback()
db.close()
# Now that we've finished indexing all of our data we can optimize it and
# update the replicas and refresh intervals.
client.indices.forcemerge(index=new_index_name)
client.indices.put_settings(
index=new_index_name,
body={
"index": {
"number_of_replicas": number_of_replicas,
"refresh_interval": refresh_interval,
}
}
)
# Point the alias at our new randomly named index and delete the old index.
if client.indices.exists_alias(name=index_base):
to_delete = set()
actions = []
for name in client.indices.get_alias(name=index_base):
to_delete.add(name)
actions.append({"remove": {"index": name, "alias": index_base}})
actions.append({"add": {"index": new_index_name, "alias": index_base}})
client.indices.update_aliases({"actions": actions})
client.indices.delete(",".join(to_delete))
else:
client.indices.put_alias(name=index_base, index=new_index_name)
