Abstract
Using a differential buffer as an additional data structure to improve write performance requires to cyclically combine this data with the compressed main partition. This process is called “merge”.
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References
M. Faust, D. Schwalb, J. Krueger, H. Plattner, Fast lookups for in-memory column stores: group-key indices, lookup and maintenance, in ADMS ’12: Proceedings of the 3rd International Workshop on Accelerating Data Management Systems Using Modern Processor and Storage Architectures at VLDB’12, 2012
J. Krueger, M. Grund, J. Wust, A. Zeier, H. Plattner, Merging differential updates in in-memory column store, in DBKDA, 2011
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Self Test Questions
Self Test Questions
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1.
What is the Merge?
The merge process...
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(a)
incorporates the data of the write-optimized differential buffer into the read-optimized main store
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(b)
combines the main store and the differential buffer to increase the parallelism
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(c)
merges the columns of a table into a row-oriented format
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(d)
optimizes the write-performance.
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(a)
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2.
When to Merge?
When is the merge process triggered?
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(a)
When the number of tuples within the differential buffer exceeds a specified threshold
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(b)
When the space on disk runs low and the main store needs to be further compressed
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(c)
Before each SELECT operation
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(d)
After each INSERT operation.
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(a)
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Plattner, H. (2013). The Merge Process. In: A Course in In-Memory Data Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36524-9_27
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DOI: https://doi.org/10.1007/978-3-642-36524-9_27
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Online ISBN: 978-3-642-36524-9
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