diff --git a/src/object_store/src/object/opendal_engine/opendal_object_store.rs b/src/object_store/src/object/opendal_engine/opendal_object_store.rs | |
index 20d498d678..004a49a006 100644 | |
--- a/src/object_store/src/object/opendal_engine/opendal_object_store.rs | |
+++ b/src/object_store/src/object/opendal_engine/opendal_object_store.rs | |
@@ -376,10 +376,32 @@ impl OpendalStreamingUploader { | |
impl StreamingUploader for OpendalStreamingUploader { | |
async fn write_bytes(&mut self, data: Bytes) -> ObjectResult<()> { | |
assert!(self.is_valid); | |
- self.not_uploaded_len += data.len(); | |
- self.buf.push(data); |
KIND runs Kubernetes cluster in Docker, and leverages Docker networking for all the network features: port mapping, IPv6, containers connectivity, etc.
KIND uses a docker user defined network.
It creates a bridge named kind
- Download build-tools
apt-get install build-essential cmake -y
- Configure the compiler
cmake \
-DWITH_BOOST=/usr/local/src/mysql-5.7.19/boost/boost_1_59_0 \
-DCMAKE_INSTALL_PREFIX=/usr/local/mysql57 \
-
Download mysql source
-
Ran the following cmake command based on the documentation
cmake \
-DCMAKE_INSTALL_PREFIX=/usr/local/mac-dev-env/mysql-5.7.18 \
-DCMAKE_CXX_FLAGS="-stdlib=libstdc++" \
-DDEFAULT_CHARSET=utf8 \
-DDEFAULT_COLLATION=utf8_general_ci \
# Load relevant libraries | |
import numpy as np | |
import numba as nb | |
import matplotlib.pyplot as plt | |
# Goal is to implement a numba compatible polyfit (note does not include error handling) | |
# Define Functions Using Numba | |
# Idea here is to solve ax = b, using least squares, where a represents our coefficients e.g. x**2, x, constants | |
@nb.njit |
package main | |
import ( | |
"encoding/binary" | |
"fmt" | |
"os" | |
"os/signal" | |
"time" | |
"github.com/gordonklaus/portaudio" |
collective_code_location_message = '\n' | |
def print_dict(dict, verbose=True): | |
#callerframerecord = inspect.stack()[1] # 0 represents this line | |
# # 1 represents line at caller | |
#frame = callerframerecord[0] | |
#info = inspect.getframeinfo(frame) | |
#if info.function == 'print_sql_result': | |
# code_probe('',2) | |
#else: | |
# code_probe('', 1) |
import pandas as pd | |
import re | |
space_splitter = re.compile("\s+") | |
regex = re.compile("\s*(.*)\s*>\s*(.*?):\s.*") | |
def parse_line(line): | |
try: | |
elements = space_splitter.split(line) | |
source_dest = regex.match(" ".join(elements[4:])).groups() |
Some people ask me about Scrum.org certifications: what to study, how to apply for the exam and advice for taking it. So I decided to write a guide for those interested in preparing and taking PSM I (Professional Scrum Master) without spending a fortune with training. With discipline, in around a month (or two), you should be ready to take the test.
The advice compiled here came from experienced agile coaches. Worked very well for me and I hope they will also help those who are seeking directions.