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#!/usr/sbin/dtrace -q -s
/*===----------------------------------------------------------------------===*
*
* This source file is part of the SwiftNIO open source project
*
* Copyright (c) 2017-2018 Apple Inc. and the SwiftNIO project authors
* Licensed under Apache License v2.0
*
* See LICENSE.txt for license information
* See CONTRIBUTORS.txt for the list of SwiftNIO project authors
@cerisier
cerisier / aquery.log
Created February 22, 2023 11:02
Bazel AQUERY for mold
corentinkerisit@endurance monorepo % bazel aquery //iosapp/Apps/Capture
INFO: Analyzed target //iosapp/Apps/Capture:Capture (0 packages loaded, 0 targets configured).
INFO: Found 1 target...
action 'Writing file iosapp/Apps/Capture/entitlements/Captureprovisioning_profile_tool-control'
Mnemonic: FileWrite
Target: //iosapp/Apps/Capture:Capture
Configuration: applebin_ios-ios_sim_arm64-dbg-ST-4ad5db7f566e
Execution platform: @local_config_platform//:host
ActionKey: 430905ad71444e01fc02ae0460ac9fa4345904f6c71c5301f84d9f72dd290867
Inputs: []
@cerisier
cerisier / HackyProtobufAvroParquetExample.kt
Last active November 18, 2022 21:42
Hackish example of writing protobuf DynamicMessage objects to parquet via Avro using AvroParquetWriter.
package org.example
import com.google.protobuf.Descriptors
import com.google.protobuf.DynamicMessage
import org.apache.avro.LogicalTypes
import org.apache.avro.Schema
import org.apache.avro.protobuf.ProtobufData
import org.apache.hadoop.fs.Path
import org.apache.parquet.avro.AvroParquetWriter
import org.apache.parquet.hadoop.ParquetWriter
@cerisier
cerisier / check.sh
Created March 25, 2018 19:37
Ensure no unterminated quotes in cldr strings
#!/bin/bash
set -eux
for i in `find . -iname strings_cldr.xml`; do cat $i | tr -cd "'\n" | awk 'length%2==1 {print NR, $0}'; done;
@cerisier
cerisier / install-py3-dataproc.sh
Last active July 2, 2021 21:56
Dataproc initialization action script for installing python3
#!/bin/bash
# from https://gist.githubusercontent.com/nehalecky/9258c01fb2077f51545a/raw/789f08141dc681cf1ad5da05455c2cd01d1649e8/install-py3-dataproc.sh
apt-get -y install python3
echo "export PYSPARK_PYTHON=python3" | tee -a /etc/profile.d/spark_config.sh /etc/*bashrc /usr/lib/spark/conf/spark-env.sh
echo "Adding PYTHONHASHSEED=0 to profiles and spark-defaults.conf..."
echo "export PYTHONHASHSEED=0" | tee -a /etc/profile.d/spark_config.sh /etc/*bashrc /usr/lib/spark/conf/spark-env.sh
echo "spark.executorEnv.PYTHONHASHSEED=0" >> /etc/spark/conf/spark-defaults.conf
@cerisier
cerisier / lsi.sh
Created June 15, 2016 12:12
LSI MegaRaid CLI - taken from calomel.org
#!/bin/bash
#
# Calomel.org
# https://calomel.org/megacli_lsi_commands.html
# LSI MegaRaid CLI
# lsi.sh @ Version 0.05
#
# description: MegaCLI script to configure and monitor LSI raid cards.
# Full path to the MegaRaid CLI binary
abstract class RDD[T: ClassTag](...) extends Serializable with Logging {
...
/** Optionally overridden by subclasses to specify how they are partitioned. */
@transient val partitioner: Option[Partitioner] = None
...
}
traceroute to 8.8.8.8 (8.8.8.8), 64 hops max, 52 byte packets
1 192.168.1.254 (192.168.1.254) 1.853 ms 1.047 ms 0.864 ms
2 bas75-2-88-170-200-254.fbx.proxad.net (88.170.200.254) 8.597 ms 13.748 ms 20.132 ms
3 213.228.4.254 (213.228.4.254) 7.894 ms 9.763 ms 8.298 ms
4 bzn-crs16-1-be1024.intf.routers.proxad.net (212.27.56.149) 19.415 ms 7.696 ms 10.763 ms
5 bzn-crs16-2-be1005.routers.proxad.net (78.254.249.77) 8.272 ms 9.363 ms 9.688 ms
6 72.14.211.26 (72.14.211.26) 11.785 ms 10.035 ms 9.851 ms
7 72.14.239.205 (72.14.239.205) 9.241 ms
72.14.239.145 (72.14.239.145) 7.893 ms 10.883 ms
8 216.239.47.89 (216.239.47.89) 8.495 ms
/**
* Return a new RDD by applying a function to all elements of this RDD.
*/
def map[U: ClassTag](f: T => U): RDD[U] = withScope {
val cleanF = sc.clean(f)
new MapPartitionsRDD[U, T](this, (context, pid, iter) => iter.map(cleanF))
}
/**
* Pass each value in the key-value pair RDD through a map function without changing the keys;
* this also retains the original RDD's partitioning.
*/
def mapValues[U](f: V => U): RDD[(K, U)] = self.withScope {
val cleanF = self.context.clean(f)
new MapPartitionsRDD[(K, U), (K, V)](self,
(context, pid, iter) => iter.map { case (k, v) => (k, cleanF(v)) },
preservesPartitioning = true)
}