Point in Time (PIT) lets you run different queries against a dataset that is fixed in time.
Create a point in time on an index.
index_name = "test-index"
response = client.create_point_in_time(
index=index_name,
keep_alive="1m"
)
pit_id = response.get("pit_id")
print('\n Point in time ID:')
print(pit_id)
List all point in time which are alive in the cluster.
response = client.list_all_point_in_time()
print(response)
Delete a point in time.
pit_body = {
"pit_id": [pit_id]
}
response = client.delete_point_in_time(body=pit_body)
print(response)
Delete all point in time.
response = client.delete_point_in_time(body=None, all=True)
print(response)
Create a point in time on an index.
index_name = "test-index"
response = client.create_pit(
index=index_name,
params={"keep_alive": "1m"}
)
pit_id = response.get("pit_id")
print('\n Point in time ID:')
print(pit_id)
List all point in time which are alive in the cluster.
response = client.get_all_pits()
print(response)
Delete a point in time.
pit_body = {"pit_id": pit_id}
response = client.delete_pit(body=pit_body)
print(response)
Delete all point in time.
response = client.delete_all_pits()
print(response)