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公开(公告)号:US11481398B1
公开(公告)日:2022-10-25
申请号:US17116230
申请日:2020-12-09
Applicant: Databricks Inc.
Inventor: Alexander Behm , Ankur Dave , Ryan Deng , Shoumik Palkar
IPC: G06F16/2455 , G06F16/22
Abstract: A system for spilling comprises an interface and a processor. The interface is configured to receive an indication to perform a GROUP BY operation, wherein the indication comprises an input table and a grouping column. The processor is configured to: for each input table entry of the input table, determine a key, wherein the key is based at least in part on the input table entry and the grouping column; add the key to a grouping hash table, wherein adding the key to the grouping hash table comprises last-in, first-out (LIFO) spilling when necessary; create an output table based at least in part on the grouping hash table; and provide the output table.
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公开(公告)号:US11468369B1
公开(公告)日:2022-10-11
申请号:US17587806
申请日:2022-01-28
Applicant: Databricks Inc.
Inventor: Benjamin Thomas Wilson , Corey Zumar
Abstract: The present application discloses a method, system, and computer system for building a model associated with a dataset. The method includes receiving a data set, the dataset comprising a plurality of keys and a plurality of key-value relationships, determining a plurality of models to build based at least in part on the dataset, wherein determining the plurality of models to build comprises using the dataset format information to identify the plurality of models, building the plurality of models, and optimizing at least one of the plurality of models.
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公开(公告)号:US20220309104A1
公开(公告)日:2022-09-29
申请号:US17362456
申请日:2021-06-29
Applicant: Databricks Inc.
Inventor: Michael Paul Armbrust , Andreas Neumann , Mukul Murthy , Jonathan Mio
IPC: G06F16/901 , G06F16/215 , G06F16/245
Abstract: A system for dataflow graph processing comprises a communication interface and a processor. The communication interface is configured receive an indication to generate a dataflow graph, wherein the indication includes a set of queries. The processor is coupled to the communication interface and is configured to: determine dependencies of each query in the set of queries on another query; determine a DAG of nodes based at least in part on the dependencies; insert a node in the DAG of nodes to generate an updated DAG to enforce an expectation; determine a dataflow graph based on the updated DAG; and provide the dataflow graph.
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公开(公告)号:US11379272B2
公开(公告)日:2022-07-05
申请号:US17020573
申请日:2020-09-14
Applicant: Databricks Inc.
Inventor: Srinath Shankar , Eric Keng-Hao Liang
IPC: G06F9/46 , G06F9/50 , G06F9/48 , G06F9/38 , H04L67/5682
Abstract: The allocation system comprises an interface and a processor. The interface is configured to receive an indication to deactivate idle cluster machines of a set of cluster machines. The processor is configured to determine a list of cluster machines storing one or more intermediate data files of a set of intermediate data files; determine a set of idle cluster machines of the set of cluster machines that are neither running one or more tasks of a set of tasks executing or pending on the set of cluster machines nor storing the one or more intermediate data files of the set of intermediate data files, where the set of intermediate data files is associated with the set of tasks executing or pending on the cluster machines; and deactivate each cluster machine of the set of idle cluster machines.
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公开(公告)号:US20220100761A1
公开(公告)日:2022-03-31
申请号:US17237979
申请日:2021-04-22
Applicant: Databricks Inc.
Inventor: Shi Xin , Alexander Behm , Shoumik Palkar , Herman Rudolf Petrus Catharina van Hövell tot Westerflier
IPC: G06F16/2453 , G06F16/25 , G06F16/2458
Abstract: A system comprises an interface, a processor, and a memory. The interface is configured to receive a query. The processor is configured to: determine a set of nodes for the query; determine whether a node of the set of nodes comprises a first engine node type or a second engine node type, wherein determining whether the node of the set of nodes comprises the first engine node type or the second engine node type is based at least in part on determining whether the node is able to be executed in a second engine; and generate a plan based at least in part on the set of nodes. The memory is coupled to the processor and is configured to provide the processor with instructions.
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136.
公开(公告)号:US20210011901A1
公开(公告)日:2021-01-14
申请号:US16941227
申请日:2020-07-28
Applicant: Databricks Inc.
Inventor: Michael Paul Armbrust , Shixiong Zhu , Burak Yavuz
Abstract: A system includes an interface and a processor. The interface is configured to receive a table indication of a data table and to receive a transaction indication to perform a transaction. The processor is configured to determine a current position N in a transaction log; determine a current state of the metadata; determine a read set associated with a transaction; attempt to write an update to the transaction log associated with a next position N+1; in response to a transaction determination that a simultaneous transaction associated with the next position N+1 already exists, determine a set of updated files; and in response to a determination that there is not an overlap between the read set associated with the current transaction and the set of updated files associated with the simultaneous transaction, attempt to write the update to the transaction to the transaction log associated with a further position N+2.
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公开(公告)号:US10678536B2
公开(公告)日:2020-06-09
申请号:US16378353
申请日:2019-04-08
Applicant: Databricks Inc.
Inventor: Timothee Hunter , Ali Ghodsi , Ion Stoica
Abstract: A system for processing a notebook includes an input interface and a processor. The input interface is to receive a first notebook. The notebook comprises code for interactively querying and viewing data. The processor is to load the first notebook into a shell. The shell receives one or more parameters associated with the first notebook. The shell executes the first notebook using a cluster.
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公开(公告)号:US10558664B2
公开(公告)日:2020-02-11
申请号:US15581647
申请日:2017-04-28
Applicant: Databricks Inc.
Inventor: Michael Armbrust , Tathagata Das , Shi Xin , Matei Zaharia
IPC: G06F16/2453 , G06F16/2455
Abstract: A system for executing a streaming query includes an interface and a processor. The interface is configured to receive a logical query plan. The processor is configured to determine a physical query plan based at least in part on the logical query plan. The physical query plan comprises an ordered set of operators. Each operator of the ordered set of operators comprises an operator input mode and an operator output mode. The processor is further configured to execute the physical query plan using the operator input mode and the operator output mode for each operator of the query.
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公开(公告)号:US10474736B1
公开(公告)日:2019-11-12
申请号:US14979253
申请日:2015-12-22
Applicant: Databricks Inc.
Inventor: Ion Stoica , Ali Ghodsi , Chaoyu Yang
IPC: G06F17/21 , G06F17/24 , G06F17/22 , G06F3/0481
Abstract: A system for multiple views for a notebook includes an input interface and a processor. The input interface to receive a notebook. The processor is to load the notebook into a shell, wherein the shell executes the notebook using a cluster, to receive an indication to view a dashboard associated with the notebook, and to provide dashboard display information. The dashboard includes a page layout display.
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公开(公告)号:US10474501B2
公开(公告)日:2019-11-12
申请号:US15581987
申请日:2017-04-28
Applicant: Databricks Inc.
Inventor: Ali Ghodsi , Srinath Shankar , Sameer Paranjpye , Shi Xin , Matei Zaharia
IPC: G06F9/50
Abstract: A system for cluster resource allocation includes an interface and a processor. The interface is configured to receive a process and input data. The processor is configured to determine an estimate for resources required for the process to process the input data; determine existing available resources in a cluster for running the process; determine whether the existing available resources are sufficient for running the process; in the event it is determined that the existing available resources are not sufficient for running the process, indicate to add new resources; determine an allocated share of resources in the cluster for running the process; and cause execution of the process using the share of resources.
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