ARINFO - Upstash Documentation

redis.arinsert("events", "boot", "ready") info = redis.arinfo("events") print(info["len"], info["count"], info["next_insert_index"]) # 2 2 2 full_info = redis.arinfo("events", full=True) print(full_info["dense_slices"], full_info["sparse_slices"])

Arguments

str

required

The array key.

bool

Include per-slice statistics. Defaults to False. Enabling this walks the whole array.

Response

An object with camelCase field names in TypeScript, or a dictionary with snake_case field names in Python. A missing key raises an error.

Field	Type	Meaning
`len`	`int`	Highest occupied index plus one.
`count`	`int`	Number of occupied slots.
`slice_size`	`int`	Indexes covered by one slice.
`slices`	`int`	Allocated slices.
`directory_size`	`int`	Slice directory entries.
`super_dir_entries`	`int`	Top-level directory entries.
`next_insert_index`	`int`	Next append position.
`dense_slices`	`int`	Dense slices. Only with full statistics.
`sparse_slices`	`int`	Sparse slices. Only with full statistics.
`avg_dense_size`	`float`	Average values per dense slice. Only with full statistics.
`avg_dense_fill`	`float`	Average dense-slice fill ratio. Only with full statistics.
`avg_sparse_size`	`float`	Average values per sparse slice. Only with full statistics.

redis.arinsert("events", "boot", "ready")
info = redis.arinfo("events")
print(info["len"], info["count"], info["next_insert_index"])  # 2 2 2
full_info = redis.arinfo("events", full=True)
print(full_info["dense_slices"], full_info["sparse_slices"])

See the server command reference for protocol details.

​Arguments

​Response

Arguments

Response