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hudi/docker/demo/sparksql-bootstrap-prep-source.commands
vinoth chandar 539621bd33 [HUDI-242] Support for RFC-12/Bootstrapping of external datasets to hudi (#1876)
- [HUDI-418] Bootstrap Index Implementation using HFile with unit-test
 - [HUDI-421] FileSystem View Changes to support Bootstrap with unit-tests
 - [HUDI-424] Implement Query Side Integration for querying tables containing bootstrap file slices
 - [HUDI-423] Implement upsert functionality for handling updates to these bootstrap file slices
 - [HUDI-421] Bootstrap Write Client with tests
 - [HUDI-425] Added HoodieDeltaStreamer support
 - [HUDI-899] Add a knob to change partition-path style while performing metadata bootstrap
 - [HUDI-900] Metadata Bootstrap Key Generator needs to handle complex keys correctly
 - [HUDI-424] Simplify Record reader implementation
 - [HUDI-423] Implement upsert functionality for handling updates to these bootstrap file slices
 - [HUDI-420] Hoodie Demo working with hive and sparkSQL. Also, Hoodie CLI working with bootstrap tables

Co-authored-by: Mehrotra <uditme@amazon.com>
Co-authored-by: Vinoth Chandar <vinoth@apache.org>
Co-authored-by: Balaji Varadarajan <varadarb@uber.com>
2020-08-03 20:19:21 -07:00

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/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
import org.apache.spark.sql.functions.col
val df = spark.read.format("org.apache.hudi").load("/user/hive/warehouse/stock_ticks_cow/*/*/*").drop("_hoodie_commit_time", "_hoodie_record_key", "_hoodie_file_name", "_hoodie_commit_seqno", "_hoodie_partition_path")
df.write.format("parquet").save("/user/hive/warehouse/stock_ticks_cow_bs_src/2018/08/31/")
System.exit(0)