Initial capacity is nothing but the number of
buckets when the hash table is created, capacity is automatically increased
when hash table get full of element.
Load factor is a measurement of how full
collection (hash table) is allowed to get before its capacity is automatically
increased. When the number of entries in the hash table exceeds
the product of the load factor and the current capacity, the hash table is
rehashed (that is, internal data structures are rebuilt) so that the hash table
has approximately twice the number of buckets.
How it affects performance?
As a general rule, the default load factor (.75) offers a good trade-off
between time and space costs. Higher
values decrease the space overhead but increase the lookup cost (reflected in
most of the operations of the HashMap class, including get and put). The
expected number of entries in the map and its load factor should be taken into
account when setting its initial capacity, so as to minimize the number of
rehash operations. If the initial capacity is greater than the maximum number
of entries divided by the load factor, no rehash operations will ever occur.
Conclusion:
So finally we can conclude default
load capacity (.75) used by Hash Map is a good value in most situations. We can set
the initial capacity of Hash Map based on own knowledge of how many
items it will hold.
Set it like, initial-capacity = number of items/.75 (round up).
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