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The thread: Space is the other axis — page 2

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124816nonephrasescap on the copy chainphrasesworst chainEnglish-like · 8,192 charactersz 156 to 7,351 The data that is not a number

A parse that will not follow a long chain

A greedy self-referential parse bounds the copy depth by nothing at all — thirty-two copies of a text give a position costing twenty-two phrase follows. Restricting every phrase to sources no deeper than D holds it at D, and the whole question is what that costs.

1,00010,00010phrases followed12481632characters in the collection · copies aboveworst depthmean depthEnglish-like · z = 156median 18 · 90th 31 The other axis

The character that costs a chain

The index over thirty-two copies is 8,892 bits and does not grow. Producing one character of the text it indexes costs 17.89 phrase-follows on average and 38 in the worst case, against 2.38 and 7 at one copy — the size stopped growing and the price of reading it did not.

11010⁴10⁵worst copy chain, phrases followedbits124816noneno capcap on each pointEnglish-like · 16 copies of 512z 156 to 7,351 The index that replaces the text

What a ceiling costs in phrases

A cap of sixteen costs one phrase of a hundred and fifty-six and halves the worst chain. A cap of four costs six times the phrases. The curve between them is flat at one end and vertical at the other, and the elbow is where a structure should be built.

0.01%0.1%1%10%100%1,0003,0005,0007,0009,00011,00013,00015,000keys insertedabsent keys answered yesone Bloom filtera stack of Bloom filtersfingerprints, none reservedfingerprints, 3 reservedforecast 2,000, target 1.0%; dotted: the forecastdashed: the target rate When the algorithm flips a coin

A filter that grows by moving a bit

A table of fingerprints can double in place, moving one stored bit of every fingerprint into its slot number, and so grow as one structure with one lookup where a stack of Bloom filters adds layers. Its false-positive rate is fixed by the fingerprint's length and not by the table, so with nothing reserved it doubles as the keys double — 0.69% at a forecast of 2,000, 5.7% at eight times that. Reserve three bits at the start and it holds 0.66% at eight times, in 294,912 bits, exactly what a table built for sixteen thousand keys would hold and fewer than the stack's 428,938. The reserve is a forecast of growth, and past it the rate climbs again.

10010³10⁴10⁵10⁶⌊1/2ε⌋ = 50151025501002005001,000tuples, and tuples examinedcompression period, in updatestuples examinedpeak tuplesresident tuplesworst rank errorε = 0.01 · 20,000 arrivalspeak 10× · work 72× · answer 1.21× One pass, and no room

The period that is not a promise

Greenwald–Khanna's ε appears twice — once as the rank tolerance the structure promises, and once as ⌊1/2ε⌋, the number of updates between compressions. Unhook the second from the first and sweep it across a thousand-fold range. The tuples held move by 10%, the worst rank error by 21%, the peak by ten times and the housekeeping by seventy.

phrase table5,148 bitsboundary orders3,744 bitsintersection grid1,696 bitspropagation grid1,544 bitsz = 156 · ⌈log₂ z⌉ = 8 levels16,384 characters · 12,132 bitsgrids 26.7% · 20.8 bits a point The other axis

The structure paid for before the first query

The two grids that make a phrase index's search proportional to its answer are 3,240 bits on an 8,892-bit index — twenty-seven per cent of the whole structure, answering nothing on their own, and 38% of them is rank directory rather than payload — the lower-order term of the published bound, measured.

0%25%50%75%100%ln 2mean leaf fillrandom, even splits2,906 leavesrandom, rightmost-split rule2,949 leavesascending, even splits3,971 leavesascending, rightmost-split rule2,048 leavesdescending, even splits4,095 leavesdescending, rightmost-split rule4,095 leavesbulk-loaded from sorted keys2,048 leaves131,072 keys, leaves of 64each bar names its rule When it does not fit

The keys that arrive late

Insert 131,072 keys into a B+-tree in random order and its leaves end up 70.5% full; in ascending order, 51.6%; in descending order, 50.0%. The rule databases use to fix ascending inserts — split a full leaf at its right-hand end — fills them completely, and it does nothing for descending keys. Let one key in a hundred arrive late in an otherwise ascending stream and the rule's leaves fall from 100% to 53.4% full. How much of an index is empty is decided by the order its keys arrived in, and a trickle of disorder undoes the fix.

Merge sortnone · 55% tiesMerge sort with an insertion cutoffnone · 47% tiesInsertion sortnone · 0% tiesBubble sortnone · 55% tiesShellsort2,014 · 71% tiesHeapsort2,403 · 32% tiesSelection sort1,209 · 24% tiesQuicksort, median-of-three pivot1,428 · 99% tiesequal pairs left out of the order they arrived in4,096 records, 8 distinct keysdark: the sorts that move them Counting

The order equal keys keep

Four of the eight sorts here leave every pair of equal keys in the order it arrived in and four move between 1,209 and 2,403 pairs, and none of the four counts every plate here reports can tell them apart. Decorating each record with its arrival position makes any of them stable, for four thousand words and between 0.05 and 1.64 times its comparisons — a charge of 64% on Shellsort and a saving of 95% on quicksort, because the ties stability has to break are the ties a two-way partition chokes on.

124816nonephrasescap on the copy chainphrasesworst chainEnglish-like · 8,192 charactersz 156 to 7,351 The other axis

The term that came back

A phrase index is worth building because 8,192 characters parse into 156 phrases. Cap the copy depth at one and the same text parses into 7,351 — ninety per cent of the characters — and the structure is proportional to the text again.

folded in one at a time2,616 tuples17 ranks outcombined pairwise, in a tree3,637 tuples17 ranks outfolded in, last shard first2,615 tuples17 ranks outtuples kept, and worst rank error against a promise of 10032 shards · ε = 0.01 · high-biased · round1.39× the space, 0 ranks of answer Structures

The shape that moves the bill

Thirty-two quantile summaries combined pairwise keep 3,637 tuples and the same thirty-two folded in one at a time keep 2,616, for answers that differ by nothing at all. The counter tables measured for the same thing do the opposite — their order moves the answer and leaves the space alone.

ranks to compute D72extensions removed27,906extensions remaining12,051one search · k = 3 · 4,000 charactersand one more index: 17,033 bits4,000 characters · m = 16388 extensions a rank The other axis

A bound that has to be paid for

The pruning removes seventy per cent of a search tree for seventy-two rank operations. It also needs an FM-index of the reversed text — 17,033 bits against the forward index's 17,032 — which doubles the structure whose small size was the entire argument for walking an index.

50%60%70%80%90%100%0%1%2%5%10%25%50%share of keys arriving latemean leaf filleven splitsrightmost-split rulesibling first, two into threeln 2131,072 keys, leaves of 64late keys arrive at a random later point When it does not fit

The sibling a full leaf asks first

The rule databases use to fix ascending inserts fills their leaves completely and collapses to 53.4% when one key in a hundred arrives late. A leaf that offers a key to a sibling before it splits, and splits two full leaves into three when neither will take one, holds 84.2% on the same stream — and is better with a trickle of late keys than without one, because a perfectly ascending stream has no sibling with room.

run together38,400 bitsσ 21 · 5 bitsone separator38,470 bitsσ 22 · 5 bitsa separator each46,164 bitsσ 35 · 6 bits15 documents of 512 charactersthe separators are the only differenceEnglish-like · 15 documents1.20x for the distinct marks The other axis

One separator, or one for each

A shared separator costs one alphabet symbol and is free. Fifteen distinct ones take the alphabet from twenty-two to thirty-five, which crosses a power of two, so every character of every document costs a sixth bit — 1.2 times the packed collection, to tell the boundaries apart.

0.01%0.1%1%10%100%4,00012,00020,00028,00036,00044,00052,00060,000keys insertedabsent keys answered yesfingerprints, none reserved1 bit longer a doubling2 bits longer a doublingfingerprints, 5 reservedforecast 2,000, target 1.0%; dotted: the forecastdashed: the target rate When the algorithm flips a coin

The bits given to the wrong keys

A fingerprint table that gives later arrivals longer fingerprints holds 3.6% where a table that reserves nothing holds 21.1%, and it never runs out of reserve because it has none. It also dies at exactly the same size as the table that reserved nothing — 32 times its forecast, on the same key — because every generation shares one quotient, and the generation with the shortest fingerprint is the one that arrived first.

234681016110size ratioblock transfers · levelsa range of 100 keyslevelsan absent point lookup1,048,576 keys, 5 bits a keyfilters answer one of these two When it does not fit

The read a filter has no key for

A Bloom filter on every run of a log-structured store turns a lookup for a missing key from a read of every level into a fraction of one — 0.72 transfers across eight levels at five bits a key, and 0.00027 at twenty. A range query over the same store reads nine transfers at five bits and nine at twenty, because a filter answers whether one named key is in a run and a range has no key to name.

one index35,3354.31 bits/charthe forward half35,3354.31 bits/charthe reverse half35,3354.31 bits/charboth, which is the structure70,6708.63 bits/charbits8,192 characters · sample 322.00x one index The other axis

The 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.

00.2500.5000.750101234567891011level of the wavelet treebits a bitthe parse's grida uniform permutation3,612 points · 12 levels0.997 bits a bit The other axis

A 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.

48163264128110entry width, bytescache lines a lookup readsentries inlinea line of tags in front8,192 slots, load 0.9, buckets of 8keys the table holds What the machine does

A lookup that stops caring how wide an entry is

Buckets of eight entries aligned to a cache line read 1.20 lines a lookup when an entry is eight bytes and 19.25 when it is 128, because the bound was arithmetic about alignment and the arithmetic stops holding. Keeping one byte of each key's hash in a separate array and the entries in a parallel one reads 2.21 lines at every width from four bytes to sixty-four — and for a key the table does not hold, 2.05 against 31.98.

forward · wavelet tree18,377forward · rank directories5,037forward · C table100forward · sample marks8,193forward · sampled positions3,598reverse · wavelet tree18,377reverse · rank directories5,037reverse · C table100reverse · sample marks8,193droppedreverse · sampled positions3,598dropped8,192 characters · sampling every 3216.7% of both halves The other axis

An 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.

both halves, one in 3215.0 steps100.0% the sizeforward sampled one in 3215.0 steps83.3% the sizeforward sampled one in 167.0 steps88.4% the sizeforward sampled one in 83.0 steps98.5% the sizeforward sampled one in 41.7 steps118.8% the size8,192 characters · 6 occurrences5.0x faster, 98.5% the size What the libraries do

The 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.

tree · suffix array2,363,886tree · text656,635tree · document array1,050,616tree · previous-occurrence chain2,363,886tree · range minimum4,727,772succinct · suffix array2,363,886succinct · text656,635succinct · document array1,050,616succinct · previous-occurrence chain2,363,886succinct · range minimum1,483,854chainless · suffix array2,363,886chainless · text656,635chainless · document array1,050,616chainless · range minimum1,483,854chainless · reported bitmap256131,327 characters · 256 documents6 parts The other axis

What 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.

a segment tree over the chain2.70x8,142,274 bitsa succinct range minimum over the chain1.62x4,898,356 bitsno chain at all0.84x2,534,726 bitsthe dashed rule is the index itself: a suffix array and the text131,327 characters · 256 documents2.70x → 0.84x What the libraries do

The 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.

range minimum and chain838,797255.0%range minimum, no chain285,46086.8%one descent over D119,97236.5%the document array, the chain and a range minimumthe document array, a range minimum and one bit per documentthe document array, in a wavelet tree64 documents · 16,447 characters14.3% of the published apparatus Structures

The 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.

4,097 rows · one in 32 marked3.1% of the rows The other axis

The 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.

range minimum and chain838,797255.0%range minimum, no chain285,46086.8%one descent over D119,97236.5%the document array, the chain and a range minimumthe document array, a range minimum and one bit per documentthe document array, in a wavelet tree64 documents · 16,447 characters14.3% of the published apparatus The other axis

The 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.

02040255075100125one sampled position in every …of the index, per centplain marks: 18.5%Elias-Fano: 3.8%16,384 characters14.9% off at one in 32 The index that replaces the text

What the locating apparatus becomes

The two parts that answer "where" are half an index at a dense sampling and a fifth at a sparse one, and the fifth does not fall further. Represent the marks properly and it keeps falling, to under four per cent.

plain bit vector19,475compressed blocks4,55723.4%Elias–Fano3,90520.1%positions, priced as Elias–Fano3,59118.4%16,385 rows · one in 32 markedElias-Fano at 20.1% Structures

A position split in two

Write each sorted position as a high part and a low part. Store the low parts packed and the high parts as a bit vector in which the k-th one sits at position (p >> w) + k. A select on that vector and a low read recover any position.

both halves locate250,584100.0%the reverse half counts only226,50490.4%and its marks are Elias-Fano210,93484.2%the saving spent on sampling241,47596.4%16,384 characters · one in 3284.2% smaller, or the same size and faster The other axis

The ladder, and the rung that spends

Two hundred and fifty thousand bits, then two hundred and twenty-six, then two hundred and eleven. The fourth rung takes the whole saving and buys a four-times denser sampling with it, landing at ninety-six per cent of where it started and locating several times faster.

"t than"8 found · set 8 · frontier 4"of her"7 found · set 7 · frontier 4" that "16 found · set 16 · frontier 11" every"31 found · set 31 · frontier 19"the ev"8 found · set 8 · frontier 4"o of c"8 found · set 8 · frontier 5" than "15 found · set 15 · frontier 9"ime ra"7 found · set 7 · frontier 4the visited set, pale; the sweep's frontier, dark17,715 phrases examined either way1.67x on what is held The index that replaces the text

The same occurrences, less bookkeeping

Two traversals examine identically many phrases and report identically many occurrences. What differs is that one holds every occurrence found so far in a set and the other holds an ordered list and a cursor.

020406080255075100125one sampled position in every …of the plain index, per centsize: 84.7%67.5 steps16,384 characters · 8-character patternssize falls, the walk lengthens Structures

Bits and steps on one frame

The size falls from ninety-nine per cent to eighty-six as the sampling thins, and the walk to a sampled position rises from two and a half steps to sixty-four. Neither line is the answer; the answer is a point on the pair.

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