Convert a collection to a hypertable and update its properties
Ability to drop chunks from a hypertable
Support for data retention policies
JS API
You can now convert an existing collection with data to a hypertable or create a new collection and convert it to a hypertable. A time-based column (integer or datetime-based) must be added to your collection before converting it to a hypertable. Hypertable properties need to be set to complete the conversion:
{
"time_column": <string>, // required
"chunk_time_interval": { "interval_string": <string> }, // required
"migrate_data": <bool>, // required
"data_retention_policy": { "interval_string": <string> } // optional
} |
The time_column represents the time column name in the collection.
The interval_string in the chunk_time_interval can be of the format `x second(s)/minute(s)/day(s)/month(s)/year(s). For example: “1 day”, “5 months”, “4 days”, “2 years”, etc.
The migrate_data must be true for collections with existing data and false otherwise.
You are not required to set a data retention policy, so this field can be omitted if required. The interval_string can be of the format `x second(s)/minute(s)/day(s)/month(s)/year(s).
Endpoints:
/api/v/4/collection/{systemKey}/{collectionName}/hypertable |
POST, PUT, and DELETE supported
Dev and user supported
The POST method will convert a collection to a hypertable and needs the hypertable properties in the body. Example POST body:
{
"time_column": "create_date",
"chunk_time_interval": { "interval_string": "7 days" },
"migrate_data": false,
"data_retention_policy": { "interval_string": "1 month" }
} |
The PUT method is used to update the hypertable properties. Only the chunk_time_interval and data_retention_policy can be updated. If updating both, the PUT body needs both in the object or just one if updating one property.
The DELETE method is used to drop chunks of data from the hypertable. The DELETE body:
{
"older_than": { "interval_string": <string> } // required
"newer_than": { "interval_string": <string> } // optional
} |
Both params need to be in the interval format mentioned above.
Three new functions:
Fetch aggregate data
Drop chunks
Bulk insert
Details will be updated @ https://github.com/ClearBlade/native-libraries
If frequent inserts on a hypertable are needed, the bulk insert API is highly recommended because it is 100x faster than normal inserts.