{"id":20534004,"url":"https://github.com/anicolaspp/mapr-data-gen","last_synced_at":"2026-04-29T14:35:57.195Z","repository":{"id":56503879,"uuid":"182856416","full_name":"anicolaspp/mapr-data-gen","owner":"anicolaspp","description":"Data generator for MapR Data Platform","archived":false,"fork":false,"pushed_at":"2020-11-03T16:13:24.000Z","size":46,"stargazers_count":3,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-01-16T13:22:37.505Z","etag":null,"topics":["data","mapr","mapr-db","mapr-es","mapr-streams","maprdb","parquet","scala","spark"],"latest_commit_sha":null,"homepage":null,"language":"Scala","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/anicolaspp.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2019-04-22T19:44:13.000Z","updated_at":"2021-07-04T20:40:33.000Z","dependencies_parsed_at":"2022-08-15T20:00:39.620Z","dependency_job_id":null,"html_url":"https://github.com/anicolaspp/mapr-data-gen","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anicolaspp%2Fmapr-data-gen","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anicolaspp%2Fmapr-data-gen/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anicolaspp%2Fmapr-data-gen/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anicolaspp%2Fmapr-data-gen/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/anicolaspp","download_url":"https://codeload.github.com/anicolaspp/mapr-data-gen/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":242138882,"owners_count":20078006,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data","mapr","mapr-db","mapr-es","mapr-streams","maprdb","parquet","scala","spark"],"created_at":"2024-11-16T00:24:47.462Z","updated_at":"2026-04-29T14:35:52.175Z","avatar_url":"https://github.com/anicolaspp.png","language":"Scala","funding_links":[],"categories":[],"sub_categories":[],"readme":"# MapR Data Generator\nData generator for MapR Data Platform\n\n## How to build\n```bash\nmvn clean compile assembly:single     \n```\n\nThis should give you `/mapr-data-gen-1.0.jar` in your `target` folder.\n\n## How to run\n```bash\n./bin/spark-submit --master yarn \\ \n--class class com.github.anicolaspp.Generator \\ \nmapr-data-gen-1.0.jar [OPTIONS]\n```\n\nCurrent options are: \n```bash  \n  usage: parquet-generator\n   -C,--compress \u003carg\u003e                          \u003cString\u003e compression type, valid values are:\n                                                uncompressed, snappy, gzip,\n                                                lzo (default: uncompressed)\n   -f,--format \u003carg\u003e                            \u003cString\u003e output format type (e.g., parquet, maprdb (default), etc.)\n   -o,--output \u003carg\u003e                            \u003cString\u003e the output file name (default: /ParqGenOutput.parquet)\n   -O,--options \u003carg\u003e                           \u003cstr,str\u003e key,value strings that will be passed to the data source of spark in\n                                                writing. E.g., for parquet you may want to re-consider parquet.block.size. The\n                                                default is 128MB (the HDFS block size).\n   -p,--partitions \u003carg\u003e                        \u003cint\u003e number of output partitions (default: 1)\n   -r,--rows \u003carg\u003e                              \u003clong\u003e total number of rows (default: 10)\n   -R,--rangeInt \u003carg\u003e                          \u003cint\u003e maximum int value, value for any Int column will be generated between\n                                                [0,rangeInt), (default: 2147483647)\n   -s,--size \u003carg\u003e                              \u003cint\u003e any variable payload size, string or payload in IntPayload (default: 100)\n   -S,--show \u003carg\u003e                              \u003cint\u003e show \u003cint\u003e number of rows (default: 0, zero means do not show)\n   -t,--tasks \u003carg\u003e                             \u003cint\u003e number of tasks to generate this data (default: 1)\n```\n\nAn example run would be : \n```bash \n./bin/spark-submit --master yarn \\\n--class com.github.anicolaspp.Generator mapr-data-gen-1.0.jar  \\\n-o /user/mapr/tables/test_gen -r 84 -s 42 -p 12 -f maprdb\n```\n\nThis will create `984 ( = 12 * 84)` rows for `case class Data` as \n`[String, Int, Array[Byte], Double, Float, Long, String]` with 42 bytes byte array and 42 chars String, and save this \nas a MapR-DB table in `/user/mapr/tables/test_gen`.\n\nWe can generate parquet data in the following way. \n\n```bash \n./bin/spark-submit --master yarn \\\n--class com.github.anicolaspp.Generator mapr-data-gen-1.0.jar  \\\n-o /user/mapr/data/parquet -r 84 -s 42 -p 12 -f parquet \n```\n\nIn this case the same data is generated and saved in `/user/mapr/data/parquet`\n\nWe can generate stream data in the following way. \n\n```bash\n./spark-submit --master yarn \\\n--deploy-mode client \\\n--num-executors 12 \\\n--executor-cores 2 \\\n--executor-memory 5G \\\n--class com.github.anicolaspp.Generator \\\n~/mapr-data-gen-1.0.jar -o /user/mapr/streams/random_data:t1 -r 1000000 -s 1024 -p 24 -f mapres -c 50 -t 20\n```\n\n1. Notice that -o points to a MapR Stream and includes the topic (t1 in our case). \n2. We are generating 1000000 rows \n3. We use `-t 20` to indicate that we use 20 tasks to generate the data\n4. We use `-p 24` to indicate that we use 24 partitions to write to the stream\n5. We use `-c 50` to indicate that we use 50 threads on each partition to write to MapR-ES.\n \nFinally, if we need to run the stream data generator for a period of time (we want to test a consumer while writing data) we can add `-m` argument to indicate the time we want to run it (in minutes).\n\n```bash\n./spark-submit --master yarn \\\n--deploy-mode client \\\n--num-executors 12 \\\n--executor-cores 2 \\\n--executor-memory 5G \\\n--class com.github.anicolaspp.Generator \\\n~/mapr-data-gen-1.0.jar -o /user/mapr/streams/random_data:t1 -r 10000 -s 1024 -p 5 -f mapres -c 50 -t 100 -m 5\n```\nNotice the same arguments than before, but we have added `-m 5` to indicate that we want to write the generated data during 5 minutes. The application will stop after that.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanicolaspp%2Fmapr-data-gen","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fanicolaspp%2Fmapr-data-gen","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanicolaspp%2Fmapr-data-gen/lists"}