Import wiredtiger: 5bd9fdfc0bb7f8fcf791e234b6e436c79dfe1fee from branch mongodb-4.4

ref: 61bf0547c6..5bd9fdfc0b
for: 4.3.3

WT-4968       Remove all_committed timestamp
WT-4978       Migrate Jenkins “wiredtiger-pull-request-compilers” job to Evergreen
WT-5192       Don't allow checkpoints to evict without a snapshot
WT-5235       Craft a workload to show lookaside contention
WT-5377       variable-length column store insert locking in format test program can stall eviction
WT-5389       Add timestamps to format.sh test runs

1 files changed, 168 insertions, 0 deletions

diff --git a/src/third_party/wiredtiger/bench/workgen/runner/evict-btree-lookaside.py b/src/third_party/wiredtiger/bench/workgen/runner/evict-btree-lookaside.py
new file mode 100755
index 00000000000..333da4b178c
--- /dev/null
+++ b/src/third_party/wiredtiger/bench/workgen/runner/evict-btree-lookaside.py
@@ -0,0 +1,168 @@
+#!/usr/bin/env python
+#
+# Public Domain 2014-2019 MongoDB, Inc.
+# Public Domain 2008-2014 WiredTiger, Inc.
+#
+# This is free and unencumbered software released into the public domain.
+#
+# Anyone is free to copy, modify, publish, use, compile, sell, or
+# distribute this software, either in source code form or as a compiled
+# binary, for any purpose, commercial or non-commercial, and by any
+# means.
+#
+# In jurisdictions that recognize copyright laws, the author or authors
+# of this software dedicate any and all copyright interest in the
+# software to the public domain. We make this dedication for the benefit
+# of the public at large and to the detriment of our heirs and
+# successors. We intend this dedication to be an overt act of
+# relinquishment in perpetuity of all present and future rights to this
+# software under copyright law.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
+# IN NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY CLAIM, DAMAGES OR
+# OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE,
+# ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
+# OTHER DEALINGS IN THE SOFTWARE.
+
+# This benchmark is designed to stress disk access to the LAS/History Store file.
+# This is achieved through:
+#   - Long running transactions consisting of read and update operations.
+#   - Low cache size (~20%) for a reasonably sized WT table with large documents.
+#   - Pareto distribution for operations in long running transactions. This will cause
+#     skewed access for a selective set of keys in WT table.
+#   - Relatively large number of read operation threads to stress cache.
+
+# Benchmark is based on a wtperf config: wiredtiger/bench/wtperf/runners/evict-btree-scan.wtperf
+# There are number of changes made to original configs such as:
+#   - Reduced the number of documents inserts during initial warm-up phase.
+#   - Increased the sizes of key and value.
+#   - Reduced the WT cache size.
+#   - Added transaction based operations and repurposed some of the read threads as long-running
+#     transcation threads.
+
+###################################################################################################
+'''
+# wtperf options file: evict btree configuration
+conn_config="cache_size=40G,checkpoint=(wait=60,log_size=2GB),eviction=(threads_min=12,
+threads_max=12),log=(enabled=true),session_max=600,eviction_target=60,statistics=(fast),
+statistics_log=(wait=1,json)"
+
+# 1B records * (key=12 + value=138) is about 150G total data size
+key_sz=12
+value_sz=138
+log_like_table=true
+table_config="type=file"
+icount=1000000000
+report_interval=5
+run_time=3600
+# Scans every 10 minutes for all the scan specific tables.
+# .4B records * (key=12 + value=138) is about 60G total data size for scan
+# Running on a machine with 64G physical memory, this exhausts both the
+# WT cache and the system cache.
+scan_interval=600
+scan_pct=100
+scan_table_count=20
+scan_icount=400000000
+populate_threads=5
+table_count=100
+threads=((count=400,reads=1),(count=20,inserts=1,throttle=500),(count=10,updates=1,throttle=500))
+# Add throughput/latency monitoring
+max_latency=50000
+sample_interval=5
+'''
+###################################################################################################
+
+from runner import *
+from wiredtiger import *
+from workgen import *
+
+context = Context()
+homedir = "WT_TEST"
+conn_config =   "cache_size=1G,checkpoint=(wait=60,log_size=2GB),\
+                eviction=(threads_min=12,threads_max=12),log=(enabled=true),session_max=600,\
+                eviction_target=60,statistics=(fast),statistics_log=(wait=1,json)"# explicitly added
+conn = wiredtiger_open(homedir, "create," + conn_config)
+s = conn.open_session("")
+
+wtperf_table_config = "key_format=S,value_format=S," +\
+    "exclusive=true,allocation_size=4kb," +\
+    "internal_page_max=64kb,leaf_page_max=4kb,split_pct=100,"
+compress_table_config = ""
+table_config = "type=file"
+tables = []
+table_count = 1
+for i in range(0, table_count):
+    tname = "table:test" + str(i)
+    table = Table(tname)
+    s.create(tname, wtperf_table_config +\
+             compress_table_config + table_config)
+    table.options.key_size = 200
+    table.options.value_size = 5000
+    tables.append(table)
+
+populate_threads = 40
+icount = 500000
+# If there are multiple tables to be filled during populate,
+# the icount is split between them all.
+pop_ops = Operation(Operation.OP_INSERT, tables[0])
+pop_ops = op_multi_table(pop_ops, tables)
+nops_per_thread = icount // (populate_threads * table_count)
+pop_thread = Thread(pop_ops * nops_per_thread)
+pop_workload = Workload(context, populate_threads * pop_thread)
+pop_workload.run(conn)
+
+# Log like file, requires that logging be enabled in the connection config.
+log_name = "table:log"
+s.create(log_name, wtperf_table_config + "key_format=S,value_format=S," +\
+        compress_table_config + table_config + ",log=(enabled=true)")
+log_table = Table(log_name)
+
+ops = Operation(Operation.OP_SEARCH, tables[0])
+ops = op_multi_table(ops, tables, False)
+ops = op_log_like(ops, log_table, 0)
+thread0 = Thread(ops)
+
+ops = Operation(Operation.OP_INSERT, tables[0])
+ops = op_multi_table(ops, tables, False)
+ops = op_log_like(ops, log_table, 0)
+thread1 = Thread(ops)
+# These operations include log_like operations, which will increase the number
+# of insert/update operations by a factor of 2.0. This may cause the
+# actual operations performed to be above the throttle.
+thread1.options.throttle=500
+thread1.options.throttle_burst=1.0
+
+ops = Operation(Operation.OP_UPDATE, tables[0])
+ops = op_multi_table(ops, tables, False)
+ops = op_log_like(ops, log_table, 0)
+thread2 = Thread(ops)
+# These operations include log_like operations, which will increase the number
+# of insert/update operations by a factor of 2.0. This may cause the
+# actual operations performed to be above the throttle.
+thread2.options.throttle=500
+thread2.options.throttle_burst=1.0
+
+# Long running transactions. There is a 0.1 second sleep after a series of search and update
+# operations. The sleep op is repeated 10000 times and this will make these transcations to at
+# least run for ~17 minutes.
+search_op = Operation(Operation.OP_SEARCH, tables[0], Key(Key.KEYGEN_PARETO, 0, ParetoOptions(1)))
+update_op = Operation(Operation.OP_UPDATE, tables[0], Key(Key.KEYGEN_PARETO, 0, ParetoOptions(1)))
+ops = txn(((search_op + update_op) * 1000 + sleep(0.1)) * 10000)
+thread3 = Thread(ops)
+
+ops = Operation(Operation.OP_SLEEP, "0.1") + \
+      Operation(Operation.OP_LOG_FLUSH, "")
+logging_thread = Thread(ops)
+
+workload = Workload(context, 350 * thread0 + 10 * thread1 +\
+                    50 * thread2 + 100 * thread3 + logging_thread)
+workload.options.report_interval=5
+workload.options.run_time=300
+workload.options.max_latency=50000
+workload.run(conn)
+
+latency_filename = homedir + "/latency.out"
+latency.workload_latency(workload, latency_filename)
+conn.close()