# Frequently Asked Questions about ksqlDB for Confluent Platform ## What are the benefits of ksqlDB? ksqlDB allows you to query, read, write, and process data in Apache Kafka® in real-time and at scale using intuitive SQL-like syntax. ksqlDB does not require proficiency with a programming language such as Java or Scala, and you don’t have to install a separate processing cluster technology. ## What are the technical requirements of ksqlDB? ksqlDB only requires: 1. A Java runtime environment 2. Access to an Apache Kafka cluster for reading and writing data in real-time. The cluster can be on-premises or in the cloud. ksqlDB works with clusters running vanilla Apache Kafka as well as with clusters running the Kafka versions included in Confluent Platform. We recommend the use of [Confluent Platform](https://www.confluent.io/product/confluent-platform/) or [Confluent Cloud](https://www.confluent.io/confluent-cloud/) for running Apache Kafka. ## Is ksqlDB owned by the Apache Software Foundation? No, ksqlDB is owned and maintained by [Confluent Inc.](https://www.confluent.io/) as part of its [Confluent Platform](https://www.confluent.io/product/confluent-platform/) product. However, ksqlDB is licensed under the Confluent Community License. ## How does ksqlDB compare to Apache Kafka’s Streams API? ksqlDB is complementary to the Kafka Streams API, and indeed executes queries through Kafka Streams applications. They share some similarities such as having very flexible deployment models so you can integrate them easily into your existing technical and organizational processes and tooling, regardless of whether you have opted for containers, VMs, bare-metal machines, cloud services, or on-premise environments. One of the key benefits of ksqlDB is that it does not require the user to develop any code in Java or Scala. This enables users to leverage a SQL-like interface alone to construct streaming ETL pipelines, to respond to real-time, continuous business requests, to spot anomalies, and more. ksqlDB is a great fit when your processing logic can be naturally expressed through SQL. For full-fledged stream processing applications Kafka Streams remains a more appropriate choice. For example, implementing a finite state machine that is driven by streams of data is easier to achieve in a programming language such as Java or Scala than in SQL. In Kafka Streams you can also choose between the [DSL](../streams/developer-guide/dsl-api.md#streams-developer-guide-dsl) (a functional programming API) and the [Processor API](../streams/developer-guide/processor-api.md#streams-developer-guide-processor-api) (an imperative programming API), and even combine the two. As with many technologies, each has its sweet-spot based on technical requirements, mission-criticality, and user skillset. ## Does ksqlDB work with vanilla Apache Kafka clusters, or does it require the Kafka version included in Confluent Platform? ksqlDB works with both vanilla Apache Kafka clusters as well as with the Kafka versions included in Confluent Platform. ## Does ksqlDB support Kafka’s exactly-once processing semantics? Yes, ksqlDB supports exactly-once processing, which means it will compute correct results even in the face of failures such as machine crashes. This behavior can be configured with the `processing.guarantee` setting. For more information, see Enable exactly-once semantics . ## Can I use ksqlDB with my favorite data format, like JSON and Avro? ksqlDB currently supports the following formats: - DELIMITED, for example, comma-separated values - JSON - Avro message values are supported. Avro keys are not supported. Requires Schema Registry and `ksql.schema.registry.url` in the ksqlDB server configuration file. For more information, see [Configure ksqlDB for Avro](operate-and-deploy/installation/avro-schema.md#ksqldb-installation-configure-serialization-formats). - KAFKA (for example, a `BIGINT` that’s serialized using Kafka’s standard `LongSerializer`). For more information, see [Serialization Formats](operate-and-deploy/installation/avro-schema.md#ksqldb-installation-configure-serialization-formats). ## Is ksqlDB fully compliant to ANSI SQL? ksqlDB is a dialect inspired by ANSI SQL. It has some differences because it is geared at processing streaming data. For example, ANSI SQL has no notion of “windowing” for use cases such as performing aggregations on data grouped into 5-minute windows, which is a commonly required functionality in the streaming world. ## How do I shut down a ksqlDB environment? Exit ksqlDB CLI: ```bash ksql> exit ``` If you’re running with Confluent CLI, use the `confluent stop` command: ```bash confluent stop ksql ``` If you’re running ksqlDB in Docker containers, stop the `cp-ksqldb-server` container: ```bash docker stop ``` If you’re running ksqlDB as a system service, use the `systemctl stop` command: ```bash sudo systemctl stop confluent-ksql ``` For more information on shutting down Confluent Platform, see [Install and Upgrade Confluent Platform](../installation/index.md#installation-overview). ## How do I configure the target Kafka cluster? Define `bootstrap.servers` in the [ksqlDB Server Configuration](operate-and-deploy/installation/server-config.md#ksqldb-install-configure-server). ## How do I add ksqlDB servers to an existing ksqlDB cluster? You can add or remove ksqlDB servers during live operations. ksqlDB servers that have been configured to use the same Kafka cluster (`bootstrap.servers`) and the same ksqlDB service ID (`ksql.service.id`) form a given ksqlDB cluster. To add a ksqlDB server to an existing ksqlDB cluster the server must be configured with the same `bootstrap.servers` and `ksql.service.id` settings as the ksqlDB cluster it should join. For more information, see [Configure ksqlDB Server](operate-and-deploy/installation/server-config.md#ksqldb-install-configure-server) and [Scaling ksqlDB](operate-and-deploy/capacity-planning.md#ksqldb-operate-capacity-planning-scaling). ## How can I lock-down ksqlDB servers for production and prevent interactive client access? You can configure your servers to run a set of predefined queries by using `ksql.queries.file` or the `--queries-file` command line flag. For more information, see [Configure ksqlDB Server](operate-and-deploy/installation/server-config.md#ksqldb-install-configure-server). ## How do I use Avro data and integrate with Confluent Schema Registry? Configure the `ksql.schema.registry.url` property in the ksqlDB server configuration to point to Schema Registry. For more information, see [Configure ksqlDB for Avro](operate-and-deploy/installation/avro-schema.md#ksqldb-installation-configure-serialization-formats). #### IMPORTANT - To use Avro data with ksqlDB, you must have Schema Registry installed. This is included by default with Confluent Platform. - Avro message values are supported. Avro keys are not supported. ## How can I scale out ksqlDB? The maximum parallelism depends on the number of partitions. - To scale out: start additional ksqlDB servers with same config. This can be done during live operations. For more information, see [How do I add ksqlDB servers to an existing ksqlDB cluster?](#add-ksql-servers). - To scale in: stop the desired running ksqlDB servers, but keep at least one server running. This can be done during live operations. The remaining servers should have sufficient capacity to take over work from stopped servers. ## Can ksqlDB connect to a Kafka cluster over TLS? Yes. Internally, ksqlDB uses standard Kafka consumers and producers. The procedure to securely connect ksqlDB to Kafka is the same as connecting any app to Kafka. For more information, see [Configure ksqlDB for Secured Apache Kafka clusters](operate-and-deploy/installation/security.md#ksqldb-installation-security-configure-for-secured-kafka). ## Can ksqlDB connect to an Apache Kafka cluster over TLS and authenticate using SASL? Yes. Internally, ksqlDB uses standard Kafka consumers and producers. The procedure to securely connect ksqlDB to Kafka is the same as connecting any app to Kafka. For more information, see [Configure Kafka Authentication](operate-and-deploy/installation/security.md#ksqldb-installation-security-configure-kafka-auth). ## Will ksqlDB work with Confluent Cloud? Yes. You can run fully managed ksqlDB in Confluent Cloud. For more information, see [ksqlDB for Confluent Cloud Quick Start](/cloud/current/ksqldb/ksqldb-quick-start.html). Also, running ksqlDB against a Kafka cluster running in the cloud is pretty straightforward. For more information, see [Connecting ksqlDB to Confluent Cloud](/cloud/current/cp-component/ksql-cloud-config.html). ## Will ksqlDB work with a Kafka cluster secured using Kafka ACLs? Yes. For more information, see [Configure Authorization of ksqlDB with Kafka ACLs](operate-and-deploy/installation/security.md#ksqldb-installation-security-auth-with-acls). ## Will ksqlDB work with a HTTPS Confluent Schema Registry? Yes. ksqlDB can be configured to communicate with Confluent Schema Registry over HTTPS. For more information, see [Configure ksqlDB for Secured Confluent Schema Registry](operate-and-deploy/installation/security.md#ksqldb-installation-security-configure-for-secured-sr). ## Where are ksqlDB-related data and metadata stored? In interactive mode, ksqlDB stores metadata in and builds metadata from the ksqlDB command topic. To secure the metadata, you must secure the command topic. The ksqlDB command topic stores all data definition language (DDL) statements: CREATE STREAM, CREATE TABLE, DROP STREAM, and DROP TABLE. Also, the ksqlDB command topic stores TERMINATE statements, which stop persistent queries based on CREATE STREAM AS SELECT (CSAS) and CREATE TABLE AS SELECT (CTAS). Currently, data manipulation language (DML) statements, like UPDATE and DELETE aren’t available. In headless mode, ksqlDB stores metadata in the config topic. The config topic stores the ksqlDB properties provided to ksqlDB when the application was first started. ksqlDB uses these configs to ensure that your ksqlDB queries are built compatibly on every restart of the server. ## Which ksqlDB queries read or write data to Kafka? SHOW STREAMS and EXPLAIN statements run against the ksqlDB server that the ksqlDB client is connected to. They don’t communicate directly with Kafka. CREATE STREAM WITH and CREATE TABLE WITH write metadata to the ksqlDB command topic. Persistent queries based on CREATE STREAM AS SELECT and CREATE TABLE AS SELECT read and write to Kafka topics. Non-persistent queries based on SELECT that are stateless only read from Kafka topics, for example SELECT … FROM foo WHERE …. Non-persistent queries that are stateful read and write to Kafka, for example, COUNT and JOIN. The data in Kafka is deleted automatically when you terminate the query with CTRL-C. ## How do I check the health of a ksqlDB server? Use the `ps` command to check whether the ksqlDB server process is running, for example: ```bash ps -aux | grep ksql ``` Your output should resemble: ```bash jim 2540 5.2 2.3 8923244 387388 tty2 Sl 07:48 0:33 /usr/lib/jvm/java-8-oracle/bin/java -cp ... ``` If the process status of the JVM isn’t `Sl` or `Ssl`, the ksqlDB server may be down. If you’re running ksqlDB server in a Docker container, run the `docker ps` or `docker-compose ps` command, and check that the status of the `ksql-server` container is `Up`. Check the health of the process in the container by running `docker logs `. Check runtime stats for the ksqlDB server that you’re connected to. : - Run SHOW STREAMS or SHOW TABLES, then run DESCRIBE EXTENDED. - Run SHOW QUERIES, then run EXPLAIN . The ksqlDB REST API supports a “server info” request (for example, `http:///info`), which returns info such as the ksqlDB version. For more info, see [ksqlDB REST API](developer-guide/ksqldb-rest-api/overview.md#ksqldb-rest-api). ## What if automatic topic creation is turned off? If automatic topic creation is disabled, ksqlDB and Kafka Streams applications continue to work. ksqlDB and Kafka Streams applications use the Admin Client, so topics are still created.