[HUDI-68] Pom cleanup & demo automation (#846)
- [HUDI-172] Cleanup Maven POM/Classpath - Fix ordering of dependencies in poms, to enable better resolution - Idea is to place more specific ones at the top - And place dependencies which use them below them - [HUDI-68] : Automate demo steps on docker setup - Move hive queries from hive cli to beeline - Standardize on taking query input from text command files - Deltastreamer ingest, also does hive sync in a single step - Spark Incremental Query materialized as a derived Hive table using datasource - Fix flakiness in HDFS spin up and output comparison - Code cleanup around streamlining and loc reduction - Also fixed pom to not shade some hive classs in spark, to enable hive sync
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docker/demo/sparksql-batch2.commands
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docker/demo/sparksql-batch2.commands
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/*
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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// Copy-On-Write table
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spark.sql("select symbol, max(ts) from stock_ticks_cow group by symbol HAVING symbol = 'GOOG'").show(100, false)
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spark.sql("select `_hoodie_commit_time`, symbol, ts, volume, open, close from stock_ticks_cow where symbol = 'GOOG'").show(100, false)
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// Merge-On-Read table
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spark.sql("select symbol, max(ts) from stock_ticks_mor group by symbol HAVING symbol = 'GOOG'").show(100, false)
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spark.sql("select `_hoodie_commit_time`, symbol, ts, volume, open, close from stock_ticks_mor where symbol = 'GOOG'").show(100, false)
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spark.sql("select symbol, max(ts) from stock_ticks_mor_rt group by symbol HAVING symbol = 'GOOG'").show(100, false)
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spark.sql("select `_hoodie_commit_time`, symbol, ts, volume, open, close from stock_ticks_mor_rt where symbol = 'GOOG'").show(100, false)
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System.exit(0)
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