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https://github.com/hanzoai/datastore.git
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zooqueen
fce0ee72e1
Runtime regression from the final lowercase pass: it renamed <clickhouse> opening tags to <datastore> but the / exclusion (protecting /clickhouse paths) left </clickhouse> closing tags, so embedded + shipped configs became <datastore>...</clickhouse> -> SAXParseException 'Tag mismatch' at runtime (compile was fine; XML is data). Renamed all <clickhouse/</clickhouse XML tags -> datastore (101 closes across configs, embedded strings, keeper configs). Path strings (/var/lib/clickhouse) have no angle bracket and are untouched. Build compiled; this fixes runtime config parsing.
50 lines
2.6 KiB
XML
50 lines
2.6 KiB
XML
<datastore>
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<profiles>
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<default>
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<allow_introspection_functions>1</allow_introspection_functions>
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<log_queries>1</log_queries>
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<metrics_perf_events_enabled>0</metrics_perf_events_enabled>
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<!--
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If a test takes too long by mistake, the entire test task can
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time out and the author won't get a proper message. Put some cap
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on query execution time to prevent this. Test query run time is
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limited to about 2 seconds, but this limit applies to all queries,
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including fill/create and maintenance such as downloading trace
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logs, so it must be generous enough. As a second line of defense,
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we might also add time check to perf.py script.
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-->
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<max_execution_time>300</max_execution_time>
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<!-- One NUMA node w/o hyperthreading -->
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<max_threads>12</max_threads>
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<!-- Disable JIT for perf tests -->
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<compile_expressions>0</compile_expressions>
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<compile_aggregate_expressions>0</compile_aggregate_expressions>
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<compile_sort_description>0</compile_sort_description>
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<!--
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When a test opts back into JIT, force compilation on the first call
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so the prewarm run populates the JIT cache and the measured runs are
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not skewed by compilation cost. See https://github.com/ClickHouse/ClickHouse/issues/100759.
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-->
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<min_count_to_compile_expression>0</min_count_to_compile_expression>
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<min_count_to_compile_aggregate_expression>0</min_count_to_compile_aggregate_expression>
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<min_count_to_compile_sort_description>0</min_count_to_compile_sort_description>
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<!-- Don't fail some prewarm queries too early -->
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<timeout_before_checking_execution_speed>60</timeout_before_checking_execution_speed>
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<!-- Disable the query condition cache -->
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<use_query_condition_cache>0</use_query_condition_cache>
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<!-- Query profiler enabled only for prewarm queries explicitly (see perf.py)
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This is needed for flamegraphs. -->
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<query_profiler_real_time_period_ns>0</query_profiler_real_time_period_ns>
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<query_profiler_cpu_time_period_ns>0</query_profiler_cpu_time_period_ns>
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<!-- Disable memory profiler too, since due to max_untracked_memory some queries may add trace entry and some may not -->
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<memory_profiler_step>0</memory_profiler_step>
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</default>
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</profiles>
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</datastore>
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