A simple sorted int[] array implementation of DocSet, good for small sets.
| 30 | |
| 31 | /** A simple sorted int[] array implementation of {@link DocSet}, good for small sets. */ |
| 32 | public class SortedIntDocSet extends DocSet { |
| 33 | private static final long BASE_RAM_BYTES_USED = |
| 34 | RamUsageEstimator.shallowSizeOfInstance(SortedIntDocSet.class) |
| 35 | + RamUsageEstimator.NUM_BYTES_ARRAY_HEADER; |
| 36 | |
| 37 | protected final int[] docs; |
| 38 | |
| 39 | /** |
| 40 | * @param docs Sorted list of ids |
| 41 | */ |
| 42 | public SortedIntDocSet(int[] docs) { |
| 43 | this.docs = docs; |
| 44 | } |
| 45 | |
| 46 | /** |
| 47 | * @param docs Sorted list of ids |
| 48 | * @param len Number of ids in the list |
| 49 | */ |
| 50 | public SortedIntDocSet(int[] docs, int len) { |
| 51 | this(shrink(docs, len)); |
| 52 | } |
| 53 | |
| 54 | public int[] getDocs() { |
| 55 | return docs; |
| 56 | } |
| 57 | |
| 58 | @Override |
| 59 | public int size() { |
| 60 | return docs.length; |
| 61 | } |
| 62 | |
| 63 | public static int[] zeroInts = new int[0]; |
| 64 | public static SortedIntDocSet zero = new SortedIntDocSet(zeroInts); |
| 65 | |
| 66 | public static int[] shrink(int[] arr, int newSize) { |
| 67 | if (arr.length == newSize) return arr; |
| 68 | int[] newArr = new int[newSize]; |
| 69 | System.arraycopy(arr, 0, newArr, 0, newSize); |
| 70 | return newArr; |
| 71 | } |
| 72 | |
| 73 | public static int intersectionSize(int[] smallerSortedList, int[] biggerSortedList) { |
| 74 | final int a[] = smallerSortedList; |
| 75 | final int b[] = biggerSortedList; |
| 76 | |
| 77 | // The next doc we are looking for will be much closer to the last position we tried |
| 78 | // than it will be to the midpoint between last and high... so probe ahead using |
| 79 | // a function of the ratio of the sizes of the sets. |
| 80 | int step = (b.length / a.length) + 1; |
| 81 | |
| 82 | // Since the majority of probes should be misses, we'll already be above the last probe |
| 83 | // and shouldn't need to move larger than the step size on average to step over our target (and |
| 84 | // thus lower the high upper bound a lot.)... but if we don't go over our target, it's a big |
| 85 | // miss... so double it. |
| 86 | step = step + step; |
| 87 | |
| 88 | // FUTURE: come up with a density such that target * density == likely position? |
| 89 | // then check step on one side or the other? |
nothing calls this directly
no outgoing calls
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