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wiredTigerCacheSizeGB - larger than default value to have higher cache use
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As the number of parts increases, queries invariably will slow as a result of the need to evaluate more indices and read more files. Users may also experience slow startup times in cases where the part count is high. The creation of too many parts thus results in more internal merges and "pressure" to keep the number of parts low and query performance high. While merges are concurrent, in cases of misuse or misconfiguration, the number of parts can exceed internal configurable limits (parts_to_throw_insert, max_parts_in_total). While these limits can be adjusted, at the expense of query performance, the need to do so will more often point to issues with your usage patterns. As well as causing query performance to degrade, high part counts can also place greater pressure on ClickHouse Keeper in replicated configurations.
sys.stdout.write(u"\u001b[38;5;" + code + "m " + code.ljust(4))
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