shc | Apache Spark - Apache HBase Connector

 by   hortonworks-spark Scala Version: v1.1.3-2.3-SystemTest License: Apache-2.0

kandi X-RAY | shc Summary

kandi X-RAY | shc Summary

shc is a Scala library typically used in Big Data, Spark, Hadoop applications. shc has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

The Apache Spark - Apache HBase Connector is a library to support Spark accessing HBase table as external data source or sink. With it, user can operate HBase with Spark-SQL on DataFrame and DataSet level. With the DataFrame and DataSet support, the library leverages all the optimization techniques in catalyst, and achieves data locality, partition pruning, predicate pushdown, Scanning and BulkGet, etc.
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              shc has a medium active ecosystem.
              It has 531 star(s) with 282 fork(s). There are 437 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 149 open issues and 95 have been closed. On average issues are closed in 87 days. There are 12 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of shc is v1.1.3-2.3-SystemTest

            kandi-Quality Quality

              shc has no bugs reported.

            kandi-Security Security

              shc has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              shc is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              shc releases are available to install and integrate.
              Installation instructions are not available. Examples and code snippets are available.

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            shc Key Features

            No Key Features are available at this moment for shc.

            shc Examples and Code Snippets

            No Code Snippets are available at this moment for shc.

            Community Discussions

            QUESTION

            Getting error - MemoryError: Unable to allocate 617. GiB for an array with shape (82754714206,) and data type float64 On Windows and using Python
            Asked 2021-May-30 at 17:10

            I tried the following agglomerative clustering in the Jupyter notebook. The shape of my dataset is (406829, 8).

            I Tried the following code:

            ...

            ANSWER

            Answered 2021-May-30 at 17:10

            Memory consumption of AgglomerativeClustering is O(n²), it means it grows exponentially compared to data size. With single linkage, the computation can be made faster from O(n³) to O(n²) but unfortunately this does not apply to memory [1]. Single clustering also has down sides of "rich get richer" kind of behavior where the clusters tend to have only a few big ones and others near to zero size clusters [2]. So, at least inside scipy or scikit options on fine tuning are not good.

            Another option would be have less input data when fitting the model (= making the training). For that you could use for data frame a method (assuming the data object is a dataframe):

            Source https://stackoverflow.com/questions/67762297

            QUESTION

            C generated asm calls point to wrong offset
            Asked 2021-May-19 at 13:43

            I wrote a shellcode in C that pops a messagebox. I have compiled two variations of it. One says "Hello World!" (shellcodeA) and the other one says "Goodbye World!" (shellcodeB).

            ...

            ANSWER

            Answered 2021-May-19 at 13:43

            I don't know where you see the value 0x119, but BYTE bootstrap[12] is a BYTE array.

            So assigning bootstrap[i++] = sizeof(bootstrap) + shellcodeALength - i - 4; will store the lowest byte of the expression in bootstrap[i++] and ignore the rest, hence can never go above 255.

            You probably want something like this instead:

            Source https://stackoverflow.com/questions/67603760

            QUESTION

            Spark-BigTable - HBase client not closed in Pyspark?
            Asked 2021-Jan-11 at 20:13

            I'm trying to execute a Pyspark statement that writes to BigTable within a Python for loop, which leads to the following error (job submitted using Dataproc). Any client not properly closed (as suggested here) and if yes, any way to do so in Pyspark ?

            Note that manually re-executing the script each time with a new Dataproc job works fine, so the job itself is correct.

            Thanks for your support !

            Pyspark script

            ...

            ANSWER

            Answered 2021-Jan-11 at 20:13

            If you are not using the latest version, try updating to it. It looks similar to this issue that was fixed recently. I would imagine the error message still showing up, but the job now finishing means that the support team is still working on it and hopefully they will fix it in the next release.

            Source https://stackoverflow.com/questions/65540042

            QUESTION

            Spark-HBase - GCP template - How to locally package the connector?
            Asked 2020-Dec-27 at 13:58

            I'm trying to test the Spark-HBase connector in the GCP context and tried to follow [1], which asks to locally package the connector [2] using Maven (I tried Maven 3.6.3) for Spark 2.4, and leads to following issue.

            Error "branch-2.4":

            [ERROR] Failed to execute goal net.alchim31.maven:scala-maven-plugin:3.2.2:compile (scala-compile-first) on project shc-core: Execution scala-compile-first of goal net.alchim31.maven:scala-maven-plugin:3.2.2:compile failed.: NullPointerException -> [Help 1]

            References

            [1] https://github.com/GoogleCloudPlatform/cloud-bigtable-examples/tree/master/scala/bigtable-shc

            [2] https://github.com/hortonworks-spark/shc/tree/branch-2.4

            ...

            ANSWER

            Answered 2020-Dec-27 at 13:58

            As suggested in the comments (thanks @Ismail !), using Java 8 works to build the connector:

            sdk use java 8.0.275-zulu

            mvn clean package -DskipTests

            One can then import the jar in Dependencies.scala of the GCP template as follows.

            Source https://stackoverflow.com/questions/65429730

            QUESTION

            Spark-HBase - GCP template - Parsing catalogue error?
            Asked 2020-Dec-27 at 13:47

            I'm trying to run the Dataproc Bigtable Spark-HBase Connector Example, and get following error when submitting the job.

            Any idea ?

            Thanks for your support

            Command

            (base) gcloud dataproc jobs submit spark --cluster $SPARK_CLUSTER --class com.example.bigtable.spark.shc.BigtableSource --jars target/scala-2.11/cloud-bigtable-dataproc-spark-shc-assembly-0.1.jar --region us-east1 -- $BIGTABLE_TABLE

            Error

            Job [d3b9107ae5e2462fa71689cb0f5909bd] submitted. Waiting for job output... 20/12/27 12:50:10 INFO org.spark_project.jetty.util.log: Logging initialized @2475ms 20/12/27 12:50:10 INFO org.spark_project.jetty.server.Server: jetty-9.3.z-SNAPSHOT, build timestamp: unknown, git hash: unknown 20/12/27 12:50:10 INFO org.spark_project.jetty.server.Server: Started @2576ms 20/12/27 12:50:10 INFO org.spark_project.jetty.server.AbstractConnector: Started ServerConnector@3e6cb045{HTTP/1.1,[http/1.1]}{0.0.0.0:4040} 20/12/27 12:50:10 WARN org.apache.spark.scheduler.FairSchedulableBuilder: Fair Scheduler configuration file not found so jobs will be scheduled in FIFO order. To use fair scheduling, configure pools in fairscheduler.xml or set spark.scheduler.allocation.file to a file that contains the configuration. 20/12/27 12:50:11 INFO org.apache.hadoop.yarn.client.RMProxy: Connecting to ResourceManager at spark-cluster-m/10.142.0.10:8032 20/12/27 12:50:11 INFO org.apache.hadoop.yarn.client.AHSProxy: Connecting to Application History server at spark-cluster-m/10.142.0.10:10200 20/12/27 12:50:13 INFO org.apache.hadoop.yarn.client.api.impl.YarnClientImpl: Submitted application application_1609071162129_0002 Exception in thread "main" java.lang.NoSuchMethodError: org.json4s.jackson.JsonMethods$.parse$default$3()Z at org.apache.spark.sql.execution.datasources.hbase.HBaseTableCatalog$.apply(HBaseTableCatalog.scala:262) at org.apache.spark.sql.execution.datasources.hbase.HBaseRelation.(HBaseRelation.scala:84) at org.apache.spark.sql.execution.datasources.hbase.DefaultSource.createRelation(HBaseRelation.scala:61) at org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:45) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68) at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:86) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127) at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152) at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127) at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:80) at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:80) at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:656) at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:656) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:77) at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:656) at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:273) at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:267) at com.example.bigtable.spark.shc.BigtableSource$.delayedEndpoint$com$example$bigtable$spark$shc$BigtableSource$1(BigtableSource.scala:56) at com.example.bigtable.spark.shc.BigtableSource$delayedInit$body.apply(BigtableSource.scala:19) at scala.Function0$class.apply$mcV$sp(Function0.scala:34) at scala.runtime.AbstractFunction0.apply$mcV$sp(AbstractFunction0.scala:12) at scala.App$$anonfun$main$1.apply(App.scala:76) at scala.App$$anonfun$main$1.apply(App.scala:76) at scala.collection.immutable.List.foreach(List.scala:381) at scala.collection.generic.TraversableForwarder$class.foreach(TraversableForwarder.scala:35) at scala.App$class.main(App.scala:76) at com.example.bigtable.spark.shc.BigtableSource$.main(BigtableSource.scala:19) at com.example.bigtable.spark.shc.BigtableSource.main(BigtableSource.scala) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52) at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:890) at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:192) at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:217) at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:137) at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) 20/12/27 12:50:20 INFO org.spark_project.jetty.server.AbstractConnector: Stopped Spark@3e6cb045{HTTP/1.1,[http/1.1]}{0.0.0.0:4040}

            ...

            ANSWER

            Answered 2020-Dec-27 at 13:47

            Consider reading these related SO questions: 1 and 2.

            Under the hood the tutorial you followed, as well of one of the question indicated, use the Apache Spark - Apache HBase Connector provided by HortonWorks.

            The problem seems to be related with an incompatibility with the version of the json4s library: in both cases, it seems that using version 3.2.10 or 3.2.11 in the build process will solve the issue.

            Source https://stackoverflow.com/questions/65466253

            QUESTION

            Outputting the N's using the survey package (svymean)
            Asked 2020-Nov-04 at 17:08

            I have data such as this, I am trying to use the survey package to apply weights and find the means, SE and the N from each variable.

            I was able to find the mean and SE, but I don't know how to pull the N for each variable.

            ...

            ANSWER

            Answered 2020-Nov-04 at 05:22

            You don't actually need the survey package functions to do this. The number of observations is whatever it is, it's not a population estimate based on the design. However, the pacakage does have the function unwtd.count to get unweighted count of non-missing observations, eg

            Source https://stackoverflow.com/questions/64667951

            QUESTION

            How to run cron and web application in same container?
            Asked 2020-Oct-05 at 17:13

            I am new to docker. Hardly I have containerized my php application to run it in the web interface. But I have some cron to run with it. I learnt how to create separate cron image and run it from How to run a cron job inside a docker container?. But my use case is different. I need to use the php files from my php application container which seems not possible from my way. I tried creating the docker-compose.yml as follow to see if it would work

            docker-compose.yml:

            ...

            ANSWER

            Answered 2020-Oct-03 at 13:14

            I think it's better if you specify the entry point in the docker-compose file without "sh" in front of it. Remember that declaring a new entrypoint in the docker-compose file overwrites the entrypoint in the dockerfile. Link

            I would advise you to create your own Entrypoint Script which will execute your crons in the container CMD ["/entrypoint.sh"]

            Example:

            Create an file and named "entrypoint.sh" or whatever and save it in the same folder where your Dockerfile is located. In this file push your Content from your cron.sh.

            Source https://stackoverflow.com/questions/64183620

            QUESTION

            Replace ASCII codes and HTML tags in Java
            Asked 2020-Aug-26 at 07:26

            How can i achieve below expecting results without using StringEscapeUtils ?

            ...

            ANSWER

            Answered 2020-Aug-26 at 07:26

            Your regexp is for html tags would be matched byt the html entities will not be matched. Their pattern is something like &.*?; Which you are not replacing.

            this should solve your trouble:

            Source https://stackoverflow.com/questions/63592137

            QUESTION

            Foreach array inside of array
            Asked 2020-Aug-15 at 07:51

            I have a JSON data that looks like this (link for full response here https://pastebin.com/LG2F9Vrw)

            "data": [ { "matchId": 1653309, "personId": 1141434, "teamId": 89736, "competitors": [ { "teamCode": "SHC", "website": "", } ] },

            There's an array of ['data'] that I'm using with foreach to give me game statistics. There's now a second array inside of the ['data'] array. I'mn trying to get the ['teamCode'] string to print but I can't work out how to do it.

            I've done my best following tutorials online.

            ...

            ANSWER

            Answered 2020-Aug-15 at 07:51

            this is simple code how to retreive ['teamCode'] you want (test link):

            Source https://stackoverflow.com/questions/63422104

            QUESTION

            Copy paste cells using VBA from two different sheets
            Asked 2020-Jun-11 at 18:57

            This is the code I have below, it works just not sure why when it copies over into the second and third column it moves down a row.

            ...

            ANSWER

            Answered 2020-Jun-11 at 16:06

            Do not calculate eRow each time (based on A:A column) when try pasting to the next columns.

            Use shB.Paste Destination:=shPM.Cells(eRow , 2) (not eRow + 1) for each iteration.

            Otherwise, the new added value in column A:A will add another row to eRow...

            Or calculate the last row for each column:

            eRow = shPM.Cells(Rows.Count, 2).End(xlUp).Row and eRow = shPM.Cells(Rows.Count, 3).End(xlUp).Row, according to the column where you intend to copy the value.

            Source https://stackoverflow.com/questions/62328419

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install shc

            You can download it from GitHub.

            Support

            The connector fully supports all the avro schemas. Users can use either a complete record schema or partial field schema as data type in their catalog (refer here for more detailed information). Above illustrates our next step, which includes composite key support, complex data types, support of customerized serde and avro. Note that although all the major pieces are included in the current code base, but it may not be functioning now.
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