Alexey Kudinkin alexeykudinkin
alexeykudinkin
/ gist:9a707fa202b546bb0dc6ca2a4077d6c3
Created
February 20, 2024 19:43
Ray Serve threads list
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| Thread 0x7FF9117404C0 (active): "MainThread" | |
| main_loop (ray/_private/worker.py:847) | |
| <module> (ray/_private/workers/default_worker.py:282) | |
| Thread 135051 (active+gil): "AsyncIO Thread: default" | |
| _openai_json_generator (rayllm/backend/server/routers/router_app.py:111) | |
| stream_response (starlette/responses.py:262) | |
| wrap (starlette/responses.py:273) | |
| run (threading.py:917) | |
| _bootstrap_inner (threading.py:980) | |
| _bootstrap (threading.py:937) |
alexeykudinkin
/ ingest_p2.scala
Created
August 18, 2022 02:39
Ingesting from Apache Pulsar to Apache Hudi
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| import org.apache.spark.sql.HoodieUnsafeUtils.createDataFrameFromRows | |
| import org.apache.spark.sql.{DataFrame, SparkSession, functions} | |
| val spark: SparkSession | |
| val adminURL = "http://localhost:8080" | |
| val endpointURL = "pulsar://localhost:6650" | |
| val topicName = "stonks_test" |
alexeykudinkin
/ ingest_p1.sh
Created
August 18, 2022 02:36
Ingesting from Apache Pulsar to Apache Hudi
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| ################################################################################ | |
| # Step 1: Start Pulsar in standalone mode (using Docker) | |
| ################################################################################ | |
| docker run -it -p 6650:6650 -p 8080:8080 --mount source=pulsardata,target=/pulsar/data --mount source=pulsarconf,target=/pulsar/conf apachepulsar/pulsar:2.10.1 bin/pulsar standalone | |
| ################################################################################ | |
| # Step 4: Ingest using Hudi's DeltaStreamer utility | |
| ################################################################################ |
alexeykudinkin
/ query.scala
Created
June 9, 2022 20:39
Querying previously ingested Amazon Reviews dataset
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| // NOTE: This relies on the dataset previously ingested in here: | |
| // https://gist.github.com/alexeykudinkin/233ce2d365ae4a9833f557de7ed5d1b9 | |
| //////////////////////////////////////////////////////////////// | |
| // Preparing tables for Querying | |
| //////////////////////////////////////////////////////////////// | |
| // Temp Table w/ Data Skipping DISABLED | |
| val readDF: DataFrame = { |
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| //////////////////////////////////////////////////////////////// | |
| // Load Metadata Table (for validation) | |
| //////////////////////////////////////////////////////////////// | |
| val metadataTablePath = s"$outputPath/.hoodie/metadata" | |
| val targetColStatsIndexColumns = Seq( | |
| HoodieMetadataPayload.COLUMN_STATS_FIELD_FILE_NAME, | |
| HoodieMetadataPayload.COLUMN_STATS_FIELD_MIN_VALUE, | |
| HoodieMetadataPayload.COLUMN_STATS_FIELD_MAX_VALUE, |
alexeykudinkin
/ ingest.scala
Created
June 9, 2022 20:34
Ingesting Amazon Reviews dataset into a Hudi table on S3
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| import org.apache.hadoop.fs.{FileStatus, Path} | |
| import scala.collection.JavaConversions._ | |
| import org.apache.spark.sql.SaveMode._ | |
| import org.apache.hudi.{DataSourceReadOptions, DataSourceWriteOptions} | |
| import org.apache.hudi.DataSourceWriteOptions._ | |
| import org.apache.hudi.common.config.HoodieMetadataConfig | |
| import org.apache.hudi.common.fs.FSUtils | |
| import org.apache.hudi.common.table.HoodieTableMetaClient |