1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
|
#pragma once
#include "columnshard__scan.h"
#include "columnshard_common.h"
#include <ydb/core/tablet_flat/flat_cxx_database.h>
#include <ydb/core/sys_view/common/schema.h>
namespace NKikimr::NColumnShard {
static const NTable::TScheme::TTableSchema PrimaryIndexStatsSchema = []() {
NTable::TScheme::TTableSchema schema;
NIceDb::NHelpers::TStaticSchemaFiller<NKikimr::NSysView::Schema::PrimaryIndexStats>::Fill(schema);
return schema;
}();
class TStatsColumnResolver : public IColumnResolver {
public:
TString GetColumnName(ui32 id, bool required) const override {
auto it = PrimaryIndexStatsSchema.Columns.find(id);
if (it == PrimaryIndexStatsSchema.Columns.end()) {
Y_VERIFY(!required, "No column '%" PRIu32 "' in primary_index_stats", id);
return {};
}
return it->second.Name;
}
};
class TStatsIterator : public TScanIteratorBase {
public:
TStatsIterator(const NOlap::TReadStatsMetadata::TConstPtr& readMetadata)
: ReadMetadata(readMetadata)
, Reverse(ReadMetadata->IsDescSorted())
, KeySchema(NOlap::MakeArrowSchema(PrimaryIndexStatsSchema.Columns, PrimaryIndexStatsSchema.KeyColumns))
, ResultSchema(NOlap::MakeArrowSchema(PrimaryIndexStatsSchema.Columns, ReadMetadata->ResultColumnIds))
, IndexStats(ReadMetadata->IndexStats.begin(), ReadMetadata->IndexStats.end())
{
}
bool Finished() const override {
return IndexStats.empty();
}
NOlap::TPartialReadResult GetBatch() override {
// Take next raw batch
auto batch = FillStatsBatch();
// Extract the last row's PK
auto keyBatch = NArrow::ExtractColumns(batch, KeySchema);
auto lastKey = keyBatch->Slice(keyBatch->num_rows()-1, 1);
ApplyRangePredicates(batch);
if (!ReadMetadata->Program.empty()) {
ApplyProgram(batch, ReadMetadata->Program);
}
// Leave only requested columns
auto resultBatch = NArrow::ExtractColumns(batch, ResultSchema);
NOlap::TPartialReadResult out{std::move(resultBatch), std::move(lastKey)};
return out;
}
size_t ReadyResultsCount() const override {
return IndexStats.empty() ? 0 : 1;
}
private:
NOlap::TReadStatsMetadata::TConstPtr ReadMetadata;
bool Reverse{false};
std::shared_ptr<arrow::Schema> KeySchema;
std::shared_ptr<arrow::Schema> ResultSchema;
TMap<ui64, std::shared_ptr<NOlap::TColumnEngineStats>> IndexStats;
static constexpr const ui64 NUM_KINDS = 5;
static_assert(NUM_KINDS == NOlap::TPortionMeta::EVICTED, "NUM_KINDS must match NOlap::TPortionMeta::EProduced enum");
std::shared_ptr<arrow::RecordBatch> FillStatsBatch() {
ui64 numRows = 0;
numRows += NUM_KINDS * IndexStats.size();
TVector<ui32> allColumnIds;
for (const auto& c : PrimaryIndexStatsSchema.Columns) {
allColumnIds.push_back(c.second.Id);
}
std::sort(allColumnIds.begin(), allColumnIds.end());
auto schema = NOlap::MakeArrowSchema(PrimaryIndexStatsSchema.Columns, allColumnIds);
auto builders = NArrow::MakeBuilders(schema, numRows);
while (!IndexStats.empty()) {
auto it = Reverse ? std::prev(IndexStats.end()) : IndexStats.begin();
const auto& stats = it->second;
Y_VERIFY(stats);
AppendStats(builders, it->first, *stats);
IndexStats.erase(it);
}
auto columns = NArrow::Finish(std::move(builders));
return arrow::RecordBatch::Make(schema, numRows, columns);
}
void ApplyRangePredicates(std::shared_ptr<arrow::RecordBatch>& batch) {
std::vector<bool> less;
if (ReadMetadata->LessPredicate) {
auto cmpType = ReadMetadata->LessPredicate->Inclusive ?
NArrow::ECompareType::LESS_OR_EQUAL : NArrow::ECompareType::LESS;
less = NArrow::MakePredicateFilter(batch, ReadMetadata->LessPredicate->Batch, cmpType);
}
std::vector<bool> greater;
if (ReadMetadata->GreaterPredicate) {
auto cmpType = ReadMetadata->GreaterPredicate->Inclusive ?
NArrow::ECompareType::GREATER_OR_EQUAL : NArrow::ECompareType::GREATER;
greater = NArrow::MakePredicateFilter(batch, ReadMetadata->GreaterPredicate->Batch, cmpType);
}
std::vector<bool> bits = NArrow::CombineFilters(std::move(less), std::move(greater));
if (bits.size()) {
auto res = arrow::compute::Filter(batch, NArrow::MakeFilter(bits));
Y_VERIFY_S(res.ok(), res.status().message());
Y_VERIFY((*res).kind() == arrow::Datum::RECORD_BATCH);
batch = (*res).record_batch();
}
}
void AppendStats(const std::vector<std::unique_ptr<arrow::ArrayBuilder>>& builders,
ui64 pathId, const NOlap::TColumnEngineStats& stats) {
using TUInt64 = arrow::UInt64Type::c_type;
using TUInt32 = arrow::UInt32Type::c_type;
TUInt64 pathIds[NUM_KINDS] = {pathId, pathId, pathId, pathId, pathId};
/// It's in sync with TPortionMeta::EProduced
TUInt32 kinds[NUM_KINDS] = {
(ui32)NOlap::TPortionMeta::INSERTED,
(ui32)NOlap::TPortionMeta::COMPACTED,
(ui32)NOlap::TPortionMeta::SPLIT_COMPACTED,
(ui32)NOlap::TPortionMeta::INACTIVE,
(ui32)NOlap::TPortionMeta::EVICTED
};
ui64 tabletId = ReadMetadata->TabletId;
TUInt64 tabletIds[NUM_KINDS] = {tabletId, tabletId, tabletId, tabletId, tabletId};
TUInt64 rows[NUM_KINDS] = {
stats.Inserted.Rows,
stats.Compacted.Rows,
stats.SplitCompacted.Rows,
stats.Inactive.Rows,
stats.Evicted.Rows
};
TUInt64 bytes[NUM_KINDS] = {
stats.Inserted.Bytes,
stats.Compacted.Bytes,
stats.SplitCompacted.Bytes,
stats.Inactive.Bytes,
stats.Evicted.Bytes
};
TUInt64 rawBytes[NUM_KINDS] = {
stats.Inserted.RawBytes,
stats.Compacted.RawBytes,
stats.SplitCompacted.RawBytes,
stats.Inactive.RawBytes,
stats.Evicted.RawBytes
};
TUInt64 portions[NUM_KINDS] = {
stats.Inserted.Portions,
stats.Compacted.Portions,
stats.SplitCompacted.Portions,
stats.Inactive.Portions,
stats.Evicted.Portions
};
TUInt64 blobs[NUM_KINDS] = {
stats.Inserted.Blobs,
stats.Compacted.Blobs,
stats.SplitCompacted.Blobs,
stats.Inactive.Blobs,
stats.Evicted.Blobs
};
if (Reverse) {
std::reverse(std::begin(pathIds), std::end(pathIds));
std::reverse(std::begin(kinds), std::end(kinds));
std::reverse(std::begin(tabletIds), std::end(tabletIds));
std::reverse(std::begin(rows), std::end(rows));
std::reverse(std::begin(bytes), std::end(bytes));
std::reverse(std::begin(rawBytes), std::end(rawBytes));
std::reverse(std::begin(portions), std::end(portions));
std::reverse(std::begin(blobs), std::end(blobs));
}
NArrow::Append<arrow::UInt64Type>(*builders[0], pathIds, NUM_KINDS);
NArrow::Append<arrow::UInt32Type>(*builders[1], kinds, NUM_KINDS);
NArrow::Append<arrow::UInt64Type>(*builders[2], tabletIds, NUM_KINDS);
NArrow::Append<arrow::UInt64Type>(*builders[3], rows, NUM_KINDS);
NArrow::Append<arrow::UInt64Type>(*builders[4], bytes, NUM_KINDS);
NArrow::Append<arrow::UInt64Type>(*builders[5], rawBytes, NUM_KINDS);
NArrow::Append<arrow::UInt64Type>(*builders[6], portions, NUM_KINDS);
NArrow::Append<arrow::UInt64Type>(*builders[7], blobs, NUM_KINDS);
}
};
}
|
