Reflecting on his postgraduate employment in a recent discussion, Hastings recalled, "I joined a 30-employee startup as a programmer, frequently working overnight shifts fueled by excessive coffee consumption. My collection of dirty cups grew steadily until the cleaning staff would periodically address them, initiating a repetitive pattern of accumulation and cleanup."
A table in ClickHouse consists of data parts sorted by the user's specified primary key (by default, the ORDER BY clause on table creation but see Index Design for the details). When data is inserted in a table, separate data parts are created, and each of them is lexicographically sorted by primary key. For example, if the primary key is (CounterID, Date), the data in the part is sorted first by CounterID, and within each CounterID value by Date. In the background, ClickHouse merges data parts for more efficient storage, similar to a Log-structured merge tree. Each part has its own primary index to allow efficient scanning and identification of where values lie within the parts. When parts are merged, then the merged part's primary indexes are also merged.
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