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1 /* Copyright 2015 The TensorFlow Authors. All Rights Reserved.
2 
3 Licensed under the Apache License, Version 2.0 (the "License");
4 you may not use this file except in compliance with the License.
5 You may obtain a copy of the License at
6 
7     http://www.apache.org/licenses/LICENSE-2.0
8 
9 Unless required by applicable law or agreed to in writing, software
10 distributed under the License is distributed on an "AS IS" BASIS,
11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12 See the License for the specific language governing permissions and
13 limitations under the License.
14 ==============================================================================*/
15 
16 // BlockBuilder generates blocks where keys are prefix-compressed:
17 //
18 // When we store a key, we drop the prefix shared with the previous
19 // string.  This helps reduce the space requirement significantly.
20 // Furthermore, once every K keys, we do not apply the prefix
21 // compression and store the entire key.  We call this a "restart
22 // point".  The tail end of the block stores the offsets of all of the
23 // restart points, and can be used to do a binary search when looking
24 // for a particular key.  Values are stored as-is (without compression)
25 // immediately following the corresponding key.
26 //
27 // An entry for a particular key-value pair has the form:
28 //     shared_bytes: varint32
29 //     unshared_bytes: varint32
30 //     value_length: varint32
31 //     key_delta: char[unshared_bytes]
32 //     value: char[value_length]
33 // shared_bytes == 0 for restart points.
34 //
35 // The trailer of the block has the form:
36 //     restarts: uint32[num_restarts]
37 //     num_restarts: uint32
38 // restarts[i] contains the offset within the block of the ith restart point.
39 
40 #include "tensorflow/core/lib/io/block_builder.h"
41 
42 #include <assert.h>
43 #include <algorithm>
44 #include "tensorflow/core/lib/core/coding.h"
45 #include "tensorflow/core/lib/io/table_builder.h"
46 
47 namespace tensorflow {
48 namespace table {
49 
BlockBuilder(const Options * options)50 BlockBuilder::BlockBuilder(const Options* options)
51     : options_(options), restarts_(), counter_(0), finished_(false) {
52   assert(options->block_restart_interval >= 1);
53   restarts_.push_back(0);  // First restart point is at offset 0
54 }
55 
Reset()56 void BlockBuilder::Reset() {
57   buffer_.clear();
58   restarts_.clear();
59   restarts_.push_back(0);  // First restart point is at offset 0
60   counter_ = 0;
61   finished_ = false;
62   last_key_.clear();
63 }
64 
CurrentSizeEstimate() const65 size_t BlockBuilder::CurrentSizeEstimate() const {
66   return (buffer_.size() +                     // Raw data buffer
67           restarts_.size() * sizeof(uint32) +  // Restart array
68           sizeof(uint32));                     // Restart array length
69 }
70 
Finish()71 StringPiece BlockBuilder::Finish() {
72   // Append restart array
73   CHECK_LE(restarts_.size(), std::numeric_limits<uint32_t>::max());
74   for (const auto r : restarts_) {
75     core::PutFixed32(&buffer_, r);
76   }
77   // Downcast safe because of the CHECK.
78   core::PutFixed32(&buffer_, static_cast<uint32_t>(restarts_.size()));
79   finished_ = true;
80   return StringPiece(buffer_);
81 }
82 
Add(const StringPiece & key,const StringPiece & value)83 void BlockBuilder::Add(const StringPiece& key, const StringPiece& value) {
84   StringPiece last_key_piece(last_key_);
85   assert(!finished_);
86   assert(counter_ <= options_->block_restart_interval);
87   assert(buffer_.empty()  // No values yet?
88          || key.compare(last_key_piece) > 0);
89   size_t shared = 0;
90   if (counter_ < options_->block_restart_interval) {
91     // See how much sharing to do with previous string
92     const size_t min_length = std::min(last_key_piece.size(), key.size());
93     while ((shared < min_length) && (last_key_piece[shared] == key[shared])) {
94       shared++;
95     }
96   } else {
97     // Restart compression
98     CHECK_LE(buffer_.size(), std::numeric_limits<uint32_t>::max());
99     restarts_.push_back(static_cast<uint32_t>(buffer_.size()));
100     counter_ = 0;
101   }
102   const size_t non_shared = key.size() - shared;
103 
104   CHECK_LE(shared, std::numeric_limits<uint32_t>::max());
105   CHECK_LE(non_shared, std::numeric_limits<uint32_t>::max());
106   CHECK_LE(value.size(), std::numeric_limits<uint32_t>::max());
107 
108   // Add "<shared><non_shared><value_size>" to buffer_
109   core::PutVarint32(&buffer_, static_cast<uint32_t>(shared));
110   core::PutVarint32(&buffer_, static_cast<uint32_t>(non_shared));
111   core::PutVarint32(&buffer_, static_cast<uint32_t>(value.size()));
112 
113   // Add string delta to buffer_ followed by value
114   buffer_.append(key.data() + shared, non_shared);
115   buffer_.append(value.data(), static_cast<uint32_t>(value.size()));
116 
117   // Update state
118   last_key_.resize(shared);
119   last_key_.append(key.data() + shared, non_shared);
120   assert(StringPiece(last_key_) == key);
121   counter_++;
122 }
123 
124 }  // namespace table
125 }  // namespace tensorflow
126