cassandra-3.0

I inserted 10K entries in a table in Cassandra which has the TTL of 1 minute under the single partition. After the successful insert, I tried to read all the data from a single partition but it throws an error like below, WARN [ReadStage-2] 2018-04-04 11:39:44,833 ReadCommand.java:533 - Read 0 live rows and 100001 tombstone cells for query SELECT * FROM qcs.job LIMIT 100 (see tombstone_warn_threshold) DEBUG [Native-Transport-Requests-1] 2018-04-04 11:39:44,834 ReadCallback.java:132 - Failed; received 0 of 1 responses ERROR [ReadStage-2] 2018-04-04 11:39:44,836 StorageProxy.java:1906 - Scanned

I have setup new Cassandra 3.3 cluster. Then I use jvisualvm to monitor Cassandra read/write latency by using MBean (jmx metric). The result of read/write latency is always stable in all nodes for many weeks whereas read/write request in that cluster have normally movement (heavy or less in some day). As I use jvisualvm to monitor Cassandra 2.0 cluster. The read/write latency have normally behavior. It have movement depending on read/wire requests. I wonder that Why the read/write latency statistics of Cassandra 3.0+ are always stable? And I think it is incorrect result. (I have load tested in

I need to perform an insert to Cassandra table without creating tombstones for any column. I am using a query similar to this : insert into my_table(col1,col2,col3) values(val1,val2,null) where col1, col2 and col3 are all the attributes in my_table. Is there any other solution or workaround to prevent tombstone creation for say col3 apart from passing only non-null attributes in our query and letting cassandra set the remaining attributes to null? Don't include col3 in your insert and it just wont set anything. insert into my_table(col1,col2) values(val1,val2) If curious about structure on

I've noticed that relationships cannot be properly stored in C* due to its 100MB partition limit, denormalization doesn't help in this case and the fact that C* can have 2B cells per partition neither as those 2B cells of just Longs have 16GB ?!?!? Doesn't that cross 100MB partition size limit ? Which is what I don't understand in general, C* proclaims it can have 2B cells but a partition sizes should not cross 100MB ??? What is the idiomatic way to do this? People say that this an ideal use case for TitanDB or JanusDB that scale well with billions of nodes and edges. How do these databases

I've searched for previous versions of this question, but none seem to fit my case. I have an existing Cassandra cluster running 2.0.x. I've been allocated new VMs, so I do NOT want to upgrade my existing Cassandra nodes - rather I want to migrate to a) new VMs and b) a more current version of Cassandra. I know for in-place upgrades, I would upgrade to the latest 2.0.x, then to the latest 2.1.x. AFAIK, there's no SSTable inconsistency here. If I go this route via addition of new nodes, I assume I would follow the datastax instructions for adding new nodes/decommissioning old nodes? Given the

Can someone help me to store the current system date in cassandra date column in format yyyy-mm-dd using Java? I get exception while saving the java.sql.Date using MappingManager . My sample program is: Test.java import com.datastax.driver.mapping.annotations.Table; import java.sql.Date; @Table(keyspace = "testing", name = "test") public class Test { private String uid; private Date rece; public String getUid() { return uid; } public void setUid(String uid) { this.uid = uid; } public Date getRece() { return rece; } public void setRece(Date rece) { this.rece = rece; } } TestDao.java Mapper

I have following method to write into cassandra some time it saving data fine. When I run it again , sometimes it is throwing NullPointerException Not sure what is going wrong here ... Can you please help me. ' @throws(classOf[IOException]) def writeDfToCassandra(o_model_family:DataFrame , keyspace:String, columnFamilyName: String) = { logger.info(s"writeDfToCassandra") o_model_family.write.format("org.apache.spark.sql.cassandra") .options(Map( "table" -> columnFamilyName, "keyspace" -> keyspace )) .mode(SaveMode.Append) .save() } ' 18/10/29 05:23:56 ERROR BMValsProcessor: java.lang