CSE 190D: Topics in Database System Implementation

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CSE190D: Topics in Database System Implementation
Presentation transcript:

CSE 190D: Topics in Database System Implementation Project 2: BadgerDB B+ Tree Implementation Discussion: Friday, May 3, 2019 Slide Presenter: Costas Zarifis Slide Courtesy: Apul Jain, Arun Kumar

Relations And Index Relations are stored in files However, searching for records can be expensive if we have to scan the whole relation each time Solution: Use index to speed up access to record One such index is B+ Tree

Implementation Details For this project you will get to implement following API functions in Btree.cpp BTreeIndex() : Constructor ~BTreeIndex() : Destructor insertEntry() : Insert a new pair <key,rid> startScan() : Begin a filtered scan of the index scanNext() : Get next record that matches the scan endScan() : Terminate current scan More...

BTreeIndex - Constructor The constructor has the following parameters: relationName: Name of file. outIndexName: Return the name of index file. bufMgrIn: Buffer Manager Instance (Your buffer manager) attrByteOffset Offset of attribute, over which index is to be built, in the record attrType: Datatype of attribute over which index is built

BTreeIndex - Constructor Tasks: Check to see if the corresponding index file exists If it does, open it If not, create it and insert entries for every tuple in the base relation

BTreeIndex - Constructor Dependencies - Storing Index Nodes: Both PageFile and BlobFile implement file interface PageFile is used to store relations BlobFile is an 8KB blob, used to store B+ Tree nodes Blob files can be modified arbitrarily

BTreeIndex - Constructor Dependencies - Iterating over tuples of a given relation: Use FileScan Class to get records from relation file Filescan: Scans records in a file Used for base relation - not index Methods: FileScan() ~FileScan() scanNext() getRecord()

BTreeIndex - Constructor Tasks: Open BlobFile() - to store index nodes Get Records from relation file: use FileScan Class Create BTree: leaf and non leaf nodes for each level Leaf nodes have <key, recordID> pair Non leaf nodes have <pageNo, key> pair

~BtreeIndex - Destructor Tasks: Clear up state variables Call endScan() to stop the fileScan Flush file (bufMgr->flushFile()) Delete BlobFile (used for index)

insertEntry - Insert a new pair <key,rid> Calls another recursive function insertRecursive() - recursively traverses the tree to find appropriate place to put entry Call above function with rootNode as starting pageNo.

insertRecursive - Insert a new pair <key,rid> Check if node is a leaf node or non leaf If non-leaf: find next node to follow: nextNode = findPageNoInNonLeaf( currentNode, key ) call insertRecursive() with above node If leaf node: split if full: splitLeafNode() insert <Key, RecordID> in new (or old) node set sibling pointers in case of split

insertRecursive - Insert a new pair <key,rid> Return from recursive call check if below node was split if so, need to insert key in present node split current node if full: splitNonLeafNode() add key and return Reach root node: if root was split: update IndexMetaInfo (struct holding metadata for index file)

startScan - Begin a filtered scan of the index E.g., if called with (1, GT, 10, LTE) it means seek entries greater than 1 and less than or equal to 10 Traverses down the tree: stops at first leaf node containing record matching the key constraint Calls ScanNext() to get recordID of next record matching the criteria Throws if not found any leaf satisfying the criteria

scanNext - Get next record the matches the scan Fetches the record id of the next tuple matching the scan criteria set in startScan Throws IndexScanCompletedException if no record satisfying the criteria found

endScan - Terminates current scan Unpins pages pinned during scan process Resets scan specific variables

Thanks!