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[GitHub] carbondata pull request #1805: [CARBONDATA-1827] S3 Carbon Implementation

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qiuchenjian-2

[GitHub] carbondata pull request #1805: [CARBONDATA-1827] S3 Carbon Implementation

Github user jatin9896 commented on a diff in the pull request:

https://github.com/apache/carbondata/pull/1805#discussion_r162311525

--- Diff: examples/spark2/src/main/scala/org/apache/carbondata/examples/S3Example.scala ---
@@ -0,0 +1,173 @@
+/*
+ * 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.
+ */
+package org.apache.carbondata.examples
+
+import java.io.File
+
+import org.apache.hadoop.fs.s3a.Constants.{ACCESS_KEY, ENDPOINT, SECRET_KEY}
+import org.apache.spark.sql.{Row, SparkSession}
+import org.slf4j.{Logger, LoggerFactory}
+
+import org.apache.carbondata.core.constants.CarbonCommonConstants
+
+object S3Example {
+
+ /**
+ * This example demonstrate usage of
+ * 1. create carbon table with storage location on object based storage
+ * like AWS S3, Huawei OBS, etc
+ * 2. load data into carbon table, the generated file will be stored on object based storage
+ * query the table.
+ *
+ * @param args require three parameters "Access-key" "Secret-key"
+ * "table-path on s3" "s3-endpoint" "spark-master"
+ */
+ def main(args: Array[String]) {
+ val rootPath = new File(this.getClass.getResource("/").getPath
+ + "../../../..").getCanonicalPath
+ val path = s"$rootPath/examples/spark2/src/main/resources/data1.csv"
+ val logger: Logger = LoggerFactory.getLogger(this.getClass)
+
+ import org.apache.spark.sql.CarbonSession._
+ if (args.length < 3 || args.length > 5) {
+ logger.error("Usage: java CarbonS3Example <access-key> <secret-key>" +
+ "<table-path-on-s3> [s3-endpoint] [spark-master]")
+ System.exit(0)
+ }
+
+ val (accessKey, secretKey, endpoint) = getKeyOnPrefix(args(2))
+ val spark = SparkSession
+ .builder()
+ .master(getSparkMaster(args))
+ .appName("S3Example")
+ .config("spark.driver.host", "localhost")
+ .config(accessKey, args(0))
+ .config(secretKey, args(1))
+ .config(endpoint, getS3EndPoint(args))
+ .getOrCreateCarbonSession()
+
+ spark.sparkContext.setLogLevel("WARN")
+
+ spark.sql("Drop table if exists carbon_table")
+
+ spark.sql(
+ s"""
+ | CREATE TABLE if not exists carbon_table(
+ | shortField SHORT,
+ | intField INT,
+ | bigintField LONG,
+ | doubleField DOUBLE,
+ | stringField STRING,
+ | timestampField TIMESTAMP,
+ | decimalField DECIMAL(18,2),
+ | dateField DATE,
+ | charField CHAR(5),
+ | floatField FLOAT
+ | )
+ | STORED BY 'carbondata'
+ | LOCATION '${ args(2) }'
+ | TBLPROPERTIES('SORT_COLUMNS'='', 'DICTIONARY_INCLUDE'='dateField, charField')
+ """.stripMargin)
+
+ spark.sql(
+ s"""
+ | LOAD DATA LOCAL INPATH '$path'
+ | INTO TABLE carbon_table
+ | OPTIONS('HEADER'='true')
+ """.stripMargin)
+
+ spark.sql(
+ s"""
+ | SELECT *
+ | FROM carbon_table
+ """.stripMargin).show()
+
+ spark.sql(
+ s"""
+ | LOAD DATA LOCAL INPATH '$path'
+ | INTO TABLE carbon_table
+ | OPTIONS('HEADER'='true')
+ """.stripMargin)
+
+ spark.sql(
+ s"""
+ | LOAD DATA LOCAL INPATH '$path'
+ | INTO TABLE carbon_table
+ | OPTIONS('HEADER'='true')
+ """.stripMargin)
+
+ val countSegment: Array[Row] =
+ spark.sql(
+ s"""
+ | SHOW SEGMENTS FOR TABLE carbon_table
+ """.stripMargin).collect()
+
+ while (countSegment.length != 3) {
+ this.wait(2000)
+ }
+
+ // Use compaction command to merge segments or small files in object based storage,
+ // this can be done periodically.
+ spark.sql("ALTER table carbon_table compact 'MAJOR'")
+ spark.sql("show segments for table carbon_table").show()
+
+ spark.sql("Drop table if exists carbon_table")
+
+ spark.stop()
+ }
+
+ def getKeyOnPrefix(path: String): (String, String, String) = {
+ val endPoint = "spark.hadoop." + ENDPOINT
+ if (path.startsWith(CarbonCommonConstants.S3A_PREFIX)) {
+ ("spark.hadoop." + ACCESS_KEY, "spark.hadoop." + SECRET_KEY, endPoint)
+ } else if (path.startsWith(CarbonCommonConstants.S3N_PREFIX)) {
+ ("spark.hadoop." + CarbonCommonConstants.S3N_ACCESS_KEY,
+ "spark.hadoop." + CarbonCommonConstants.S3N_SECRET_KEY, endPoint)
+ } else if (path.startsWith(CarbonCommonConstants.S3_PREFIX)) {
+ ("spark.hadoop." + CarbonCommonConstants.S3_ACCESS_KEY,
+ "spark.hadoop." + CarbonCommonConstants.S3_SECRET_KEY, endPoint)
+ } else {
+ throw new Exception("Incorrect Store Path")
+ }
+ }
+
+ def getS3EndPoint(args: Array[String]): String = {
+ if (args.length >= 4 && args(3).contains(".com")) {
+ args(3)
+ }
+ else {
--- End diff --

done

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qiuchenjian-2