The lag in Kafka topic calculated in the following way: endOffsets - committedOffsets
To fetch this the following steps can be made:
TopicPartitions with AdminClient describeTopics(java.util.Collection<java.lang.String> topicNames) API.
git log --author="Your_Name_Here" --pretty=tformat: --numstat | gawk '{ add += $1; subs += $2; loc += $1 - $2 } END { printf "added lines: %s removed lines: %s total lines: %s\n", add, subs, loc }' -
git log --author="Your_Name_Here" --pretty=tformat: --numstat | awk '{ add += $1; subs += $2; loc += $1 - $2 } END { printf "added lines: %s, removed lines: %s, total lines: %s\n", add, subs, loc }' -
class KafkaSinkStreamingSuite
...
test("single node streaming") {
val input = MemoryStream[String]
val topic = newTopic()
testUtils.createTopic(topic)
val writer = createKafkaWriter(
input.toDF(),
class KafkaSinkBatchSuiteV2
...
test("single node batch") {
val topic = newTopic()
testUtils.createTopic(topic)
val rand = new Random()
val data = Seq.fill(100000)(Row(topic, rand.nextInt().toString))
val df = spark.createDataFrame(
cd external/docker-integration-tests
mvn install -DskipTests -Dscalastyle.skip=true -Dcheckstyle.skip
docker-integration-tests project.
# Setup minikdc
cat << 'EOF' > minikdc_deps.gradle
apply plugin: 'java'
repositories {
mavenCentral()
}
dependencies {
To read what kind of authentication method is used:
sqlcmd -S example.com -U sa -P Mssql123 -Q "EXEC xp_instance_regread N'HKEY_LOCAL_MACHINE', N'Software\Microsoft\MSSQLServer\MSSQLServer', N'LoginMode'"
LoginMode values:
To set it:
To read what kind of authentication scheme is used:
sqlcmd -S example.com -U sa -P Mssql123 -Q "SELECT auth_scheme FROM sys.dm_exec_connections WHERE session_id = @@spid"
SQL: When SQL Server authentication is usedNTLM: When NTLM authentication is usedKERBEROS: When KERBEROS authentication is used
AmazonEC2FullAccessAmazonSSMManagedInstanceCoreAmazonSSMDirectoryServiceAccessMake sure during creation join to the existing domain dropdown set properly.