prestodb

-xx:onoutofmemoryerror=kill-9%p-xx:reservedcodecachesize=150mVim/presto/etc/config.propertiesJoin:Coordinator=trueNode-scheduler.include-coordinator=falsehttp-server.http.port=8080Discovery-server.enabled=truediscovery.uri=http://node1:8080Vim/presto/etc/log.propertiesJoin:Com.facebook.presto=infoVim/presto/etc/jmx.propertiesJoin:Connector.name=jmxMkdir/presto/etc/catalogVim/presto/etc/catalog/cassandra.propertiesJoin:Connector.name=cassandraCassandra.contact-points=node2,node3,node4,node57. Dis

;　　Concurrent-Class SQL query language in lingual:cascading;　　Datasalt Splout sql: A complete SQL query tool for large datasets;　　Facebook prestodb: Distributed SQL query tool; Google BigQuery: Interactive analysis framework, Dremel implementation;　　Pivotal Hawq:hadoop's SQL-like Data Warehouse system;　　RAINSTORDB: A database for storing large-scale petabytes of structured and semi-structured data;　　Spark Catalyst: Query optimization framework for spa

When the cluster uses azure Blog storage, Prestodb cannot get the returned results, which is recorded in theBelow, two tables in hive, one using local HDFs, one using Azure blob storage,Presto can access all the table structures inside hive and can query the hive table for the local HDFs as follows:The local HDFs store is healthy when the query data is returnedThe data that is stored on Azure BLOB storage Returns an exception as follows:Problem to be

SparkSql predicate push-down rule in Chinese and foreign join queries, sparksql Predicate SparkSql SparkSql is a distributed SQL engine built on the spark computing framework. It uses DataFrame and DataSet to carry structured and semi-structured data for complex data query and processing, the provided DSL can directly use the scala language to complete SQL queries, and also use the thrift server to provide a service-oriented SQL query function. SparkSql provides a Data Source API through which

way to stream data.In most of Facebook's query scenarios, Presto is more than hive/mapreduce 10 times times more than the time-consuming and CPU-intensive. Facebook still plans to further improve performance. A plan is to design a new data format to reduce the amount of data that is required to convert data from one phase to another. Facebook also plans to remove some of the current design limitations: The main limitation is the size of the table at the time of the join operation and the cardin