Summary:
Now we can analyze the MultiGet queries in the trace file and generate a set of the statistic and analysis files. Note that, when one MultiGet access N keys, we count each sub-get-query individually. But the over all query number is still the MultiGet not the sub-get-query.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/8575
Test Plan: added new unit test and make check
Reviewed By: anand1976
Differential Revision: D29860633
Pulled By: zhichao-cao
fbshipit-source-id: a132128527f36828d266df8e36e3ec626c2170be
Summary:
The trace file record and payload encode is fixed, which requires complex backward compatibility resolving. This PR introduce a new trace file format, which makes it easier to add new entries to the payload and does not have backward compatible issues. V 0.1 is still supported in this PR. Added the tracing for lower_bound and upper_bound for iterator.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/7977
Test Plan: make check. tested with old trace file in replay and analyzing.
Reviewed By: anand1976
Differential Revision: D26529948
Pulled By: zhichao-cao
fbshipit-source-id: ebb75a127ce3c07c25a1ccc194c551f917896a76
Summary:
The unimplemented handler will return Status::InvalidArgument() and caused issues when using trace analyzer for write batch record. Override with returning Status::OK()
Pull Request resolved: https://github.com/facebook/rocksdb/pull/7910
Test Plan: tested with real trace, make check
Reviewed By: siying
Differential Revision: D26154327
Pulled By: zhichao-cao
fbshipit-source-id: bcdefd4891f839b2e89e4c079f9f430245f482fb
Summary:
When dynamically linking two binaries together, different builds of RocksDB from two sources might cause errors. To provide a tool for user to solve the problem, the RocksDB namespace is changed to a flag which can be overridden in build time.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/6433
Test Plan: Build release, all and jtest. Try to build with ROCKSDB_NAMESPACE with another flag.
Differential Revision: D19977691
fbshipit-source-id: aa7f2d0972e1c31d75339ac48478f34f6cfcfb3e
Summary:
The current Env API encompasses both storage/file operations, as well as OS related operations. Most of the APIs return a Status, which does not have enough metadata about an error, such as whether its retry-able or not, scope (i.e fault domain) of the error etc., that may be required in order to properly handle a storage error. The file APIs also do not provide enough control over the IO SLA, such as timeout, prioritization, hinting about placement and redundancy etc.
This PR separates out the file/storage APIs from Env into a new FileSystem class. The APIs are updated to return an IOStatus with metadata about the error, as well as to take an IOOptions structure as input in order to allow more control over the IO.
The user can set both ```options.env``` and ```options.file_system``` to specify that RocksDB should use the former for OS related operations and the latter for storage operations. Internally, a ```CompositeEnvWrapper``` has been introduced that inherits from ```Env``` and redirects individual methods to either an ```Env``` implementation or the ```FileSystem``` as appropriate. When options are sanitized during ```DB::Open```, ```options.env``` is replaced with a newly allocated ```CompositeEnvWrapper``` instance if both env and file_system have been specified. This way, the rest of the RocksDB code can continue to function as before.
This PR also ports PosixEnv to the new API by splitting it into two - PosixEnv and PosixFileSystem. PosixEnv is defined as a sub-class of CompositeEnvWrapper, and threading/time functions are overridden with Posix specific implementations in order to avoid an extra level of indirection.
The ```CompositeEnvWrapper``` translates ```IOStatus``` return code to ```Status```, and sets the severity to ```kSoftError``` if the io_status is retryable. The error handling code in RocksDB can then recover the DB automatically.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/5761
Differential Revision: D18868376
Pulled By: anand1976
fbshipit-source-id: 39efe18a162ea746fabac6360ff529baba48486f
Summary:
util/ means for lower level libraries. trace_replay is highly integrated to DB and sometimes call DB. Move it out to a separate directory.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/5376
Differential Revision: D15550938
Pulled By: siying
fbshipit-source-id: f46dce5ceffdc05a73f26379c7bb1b79ebe6c207
Summary:
Changes:
1. in current version, key size distribution is printed out as the result. In this change, the result will be output to a file to make further analyze easier
2. To understand how the unique keys are accessed over time, the total unique key number of each CF of each query type in each second over time is output to a file. In this way, user could know when the unique keys are accessed frequently or accessed rarely.
3. output the total QPS of each CF to a file
4. Add the print result of total queries of each CF of each query type.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/4646
Differential Revision: D12968156
Pulled By: zhichao-cao
fbshipit-source-id: 6c411c7ec47c7843a70929136efd71a150db0e4c
Summary:
If the query types being analyzed do not appear in the trace, the current trace_analyzer will use 0 as the begin time, which create the time duration from 1970/01/01 to the now time. It will waste huge memory. Fixed by adding the trace_create_time to limit the duration.
Pull Request resolved: https://github.com/facebook/rocksdb/pull/4473
Differential Revision: D10246204
Pulled By: zhichao-cao
fbshipit-source-id: 42850b080b2e62f586fe73afd7737c2246d1a8c8
Summary:
A framework of trace analyzing for RocksDB
After collecting the trace by using the tool of [PR #3837](https://github.com/facebook/rocksdb/pull/3837). User can use the Trace Analyzer to interpret, analyze, and characterize the collected workload.
**Input:**
1. trace file
2. Whole keys space file
**Statistics:**
1. Access count of each operation (Get, Put, Delete, SingleDelete, DeleteRange, Merge) in each column family.
2. Key hotness (access count) of each one
3. Key space separation based on given prefix
4. Key size distribution
5. Value size distribution if appliable
6. Top K accessed keys
7. QPS statistics including the average QPS and peak QPS
8. Top K accessed prefix
9. The query correlation analyzing, output the number of X after Y and the corresponding average time
intervals
**Output:**
1. key access heat map (either in the accessed key space or whole key space)
2. trace sequence file (interpret the raw trace file to line base text file for future use)
3. Time serial (The key space ID and its access time)
4. Key access count distritbution
5. Key size distribution
6. Value size distribution (in each intervals)
7. whole key space separation by the prefix
8. Accessed key space separation by the prefix
9. QPS of each operation and each column family
10. Top K QPS and their accessed prefix range
**Test:**
1. Added the unit test of analyzing Get, Put, Delete, SingleDelete, DeleteRange, Merge
2. Generated the trace and analyze the trace
**Implemented but not tested (due to the limitation of trace_replay):**
1. Analyzing Iterator, supporting Seek() and SeekForPrev() analyzing
2. Analyzing the number of Key found by Get
**Future Work:**
1. Support execution time analyzing of each requests
2. Support cache hit situation and block read situation of Get
Pull Request resolved: https://github.com/facebook/rocksdb/pull/4091
Differential Revision: D9256157
Pulled By: zhichao-cao
fbshipit-source-id: f0ceacb7eedbc43a3eee6e85b76087d7832a8fe6
Zhichao Cao