The thread: An index has a size — page 2
Two bits a value, and what undoes them
The parentheses of a range minimum over 65,536 values are 131,072 bits. Everything that makes them answerable is 651,800 more — five times the payload — and one encoding choice nobody quotes accounts for a sixth of it on its own.
The data that is not a numberA million characters of the same thing
Every measurement this collection has published about real text was taken on twenty-four thousand characters, because the phrase count was quadratic. It is linear now, so here is the same corpus at forty times the size — and what forty times does to its own numbers.
StructuresA rectangle over a permutation
Two orderings of one set of boundaries are two permutations, so a phrase index's intersection is a rectangle over a permutation grid — the one point set a wavelet tree stores exactly, at one bit per point per level and no coordinates at all.
The other axisThe structure that was supposed to halve
A bidirectional index holds the transform of the text and the transform of its reversal — 35,335 bits each, 70,670 together, exactly twice one index. The deferral that named it hoped it would stop the index doubling. It does not remove the doubling; it reuses it.
The other axisA bit for every bit
A grid over 3,612 points is 43,344 bits of payload. The smallest any structure can be that distinguishes one permutation of 3,612 things from another is 37,485. There is 16% to play for, and the deferral that asked for a compressed grid assumed there was much more.
The index that replaces the textTwo thousand documents of two hundred characters
Every collection this field has measured has been a dozen documents of ten thousand characters. A real collection is usually the other shape, and the other shape moves every term in a document index — one of them by a factor of seventy.
What the libraries doThe crossing that never arrives
Output-sensitive document listing exists because a pattern can occur four thousand times in eight documents. On a real collection of two thousand short documents it occurs 1.04 times per document, and the whole apparatus buys nothing at all.
What is taught wronglyA sampling that costs more than the array
On four-symbol text the transform has 0.75 runs a character, so a sampling of two suffix-array values per run is one and a half values per position — 271,565 bits against the 131,088 that keeping every value costs. The structure built to remove a term proportional to the text is twice the thing it replaced.
The data that is not a numberThe array is the length distribution
The document array holds each document once per character it contributed, so its symbol distribution is the collection's length distribution exactly. On equal-length documents its entropy is log d and no coding saves anything.
The index that replaces the textThe half that is never asked where
A bidirectional index is two indexes and one interval. One of them is asked for ranks several hundred times a search and for a position never — and the parts that answer "where" are two of the five it is made of.
What is taught wronglyThe operations a candidate count leaves out
The grid examines 33 candidates where the scan examines 4,355 — a factor of 132. Counted in the operations each of them performs, the same query is 2,471 against 4,355, and the factor is 1.8.
The other axisAn index that cannot locate
Take an FM-index, remove the sampled positions and the bit vector marking them, and refuse every request for a position. What is left still counts, still extends intervals, still runs a whole search — and is a third smaller.
What is taught wronglyA sixth of what, exactly
The saving from a counting-only reverse half is 30.5% at one sampled position in four and 14.0% at one in a hundred and twenty-eight. A number quoted without its sampling rate is a number about a setting somebody chose.
What the libraries doThe saving, spent
A bidirectional index whose reverse half cannot locate is a sixth smaller. Give that sixth back to the half that does locate, and the same total size answers a locate five times faster.
The index that replaces the textEvery child at once
A bidirectional extension counts the occurrences of every symbol smaller than the one being added, and this collection did it with one rank per symbol — 139.7 operations an extension on a twenty-six-letter alphabet. One walk down the tree gives the same number.
What is taught wronglyThe occurrences a join invents
Eight documents run together hold forty-nine eight-character windows that span a join, twenty-three of which occur in no document at all. Every index built over the concatenation reports them, and five essays of this collection paid that cost silently.
StructuresThe tree the operation insists on
The compound walk means "everything that went left is smaller", which is true only if the leaves are in the alphabet's order. Huffman's tree is the smallest and its leaves are in frequency order, so the operation that makes a bidirectional search affordable costs the shape that makes an index small.
What a bound isA factor of fourteen, for four per cent
The compound walk removes a factor of σ from every interval extension. It requires a tree whose leaves are in order, which costs between nothing and five per cent of the wavelet tree. Both numbers on one plate, and the trade is not close.
What the machine doesTwenty bits apart
Two representations of one sparse set, six thousand seven hundred and forty-five bits against six thousand seven hundred and sixty-five. One exploits sparsity and the other exploits runs, and on this set at this density they price identically.
The index that replaces the textThe array the walk never reads
Document listing compares a chain entry against the start of a range. The comparison is true exactly when the document has not been reported yet — which the walk already knows, because it just wrote it down.
What a bound isA code word is at least one bit
A wavelet tree of plain vectors reaches the entropy by its shape, and a Huffman code word cannot be shorter than one bit. On a collection whose document array has an entropy of 1.69 the tree costs 1.98, and the gap is a floor rather than an inefficiency.
The index that replaces the textThe index that does not notice
Three compressed indexes over the same characters. One is flat at six and a half bits a character however many copies the collection holds; the other two fall by factors of five and six. At one copy the two that fall are the largest of the three.
What a bound isThe flat bottom of a shallow curve
The low width is chosen as the floor of log of the universe over the count. Rounding it up instead costs one bit on five thousand, because the total is m·w plus n over two to the w and the minimum is where those two are equal.
The other axisWhat the chain cost
The chain of previous occurrences is one row number per row — exactly as wide as the suffix array it sits beside, and the largest single part of a document-listing apparatus. It is now absent, and what replaces it is one bit per document.
The index that replaces the textThe tree answers the question
The distinct documents in a range of rows are the distinct symbols of the document array in that range. A wavelet tree enumerates those in one descent, so the range minimum, the chain, the bitmap and the recursion all go at once.
What the libraries doThe apparatus that is smaller than its index
Answering "which documents hold this" at a price proportional to the answer used to cost 2.70 times the index it sits beside. Two changes later it costs 0.84, and the largest thing left is an array that says which document each row belongs to.
The other axisTwo currencies for one separator
Giving every document its own boundary marker costs a fifth of the packed text and three per cent of the run count. Both numbers are right, they are about the same change, and which one a collection pays depends on a structure nobody named.
StructuresThe last array in the apparatus
The document-listing apparatus began as three arrays beside a suffix array. Two of them turned out to be machinery for reading the third, and both have gone. What is left is the document array, and it is the only one of the three that was information.
The other axisThe array that says where is twice the samples
An index keeps one suffix-array value in every thirty-two, and a bit vector over all n rows saying which. The vector is sixteen thousand bits and the values it points at are seven thousand — the index of the samples is twice the samples.
The other axisThe apparatus, three times smaller again
Eight hundred and thirty-nine thousand bits became two hundred and eighty-five thousand, and now a hundred and twenty thousand. The listing apparatus is fourteen per cent of what it was and holds one array, which is the only part of it that was ever information.