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Content: Adjust preamble/summary syntax
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‎build/llm/llms-ctx-full.txt‎

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<project title="CrateDB" summary="CrateDB is a distributed and scalable SQL database for storing and">> analyzing massive amounts of data in near real-time, even with
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> complex queries. It is based on Lucene, inherits technologies from
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> Elasticsearch, and is compatible with PostgreSQL.
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>
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> CrateDB also provides an HTTP interface, is written in Java, and brings
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> together fundamental components to manage big data after the Hadoop and
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> Spark batch-processing era, more like Teradata, BigQuery and Snowflake
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> are doing it.
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Things to remember when working with CrateDB are:
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<project title="CrateDB" summary="CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is based on Lucene, inherits technologies from Elasticsearch, and is compatible with PostgreSQL.">Things to remember when working with CrateDB are:
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- CrateDB is a distributed database, where individual nodes form a database cluster, using a shared-nothing architecture.
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- CrateDB is a distributed database written in Java, where individual nodes form a database cluster, using a shared-nothing architecture.
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- CrateDB brings together fundamental components to manage big data after the Hadoop and Spark batch-processing era, more like Teradata, BigQuery and Snowflake are doing it.
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- Clients can connect to CrateDB using HTTP or the PostgreSQL wire protocol.
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- The default TCP ports of CrateDB are 4200 for the HTTP interface and 5432 for the PostgreSQL interface.
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- The language of choice after connecting to CrateDB is to use SQL, mostly compatible with PostgreSQL's SQL dialect.

‎build/llm/llms-ctx.txt‎

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<project title="CrateDB" summary="CrateDB is a distributed and scalable SQL database for storing and">> analyzing massive amounts of data in near real-time, even with
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> complex queries. It is based on Lucene, inherits technologies from
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> Elasticsearch, and is compatible with PostgreSQL.
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>
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> CrateDB also provides an HTTP interface, is written in Java, and brings
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> together fundamental components to manage big data after the Hadoop and
7-
> Spark batch-processing era, more like Teradata, BigQuery and Snowflake
8-
> are doing it.
9-
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Things to remember when working with CrateDB are:
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<project title="CrateDB" summary="CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is based on Lucene, inherits technologies from Elasticsearch, and is compatible with PostgreSQL.">Things to remember when working with CrateDB are:
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- CrateDB is a distributed database, where individual nodes form a database cluster, using a shared-nothing architecture.
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- CrateDB is a distributed database written in Java, where individual nodes form a database cluster, using a shared-nothing architecture.
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- CrateDB brings together fundamental components to manage big data after the Hadoop and Spark batch-processing era, more like Teradata, BigQuery and Snowflake are doing it.
135
- Clients can connect to CrateDB using HTTP or the PostgreSQL wire protocol.
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- The default TCP ports of CrateDB are 4200 for the HTTP interface and 5432 for the PostgreSQL interface.
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- The language of choice after connecting to CrateDB is to use SQL, mostly compatible with PostgreSQL's SQL dialect.

‎build/llm/llms.txt‎

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# CrateDB
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> CrateDB is a distributed and scalable SQL database for storing and
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> analyzing massive amounts of data in near real-time, even with
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> complex queries. It is based on Lucene, inherits technologies from
6-
> Elasticsearch, and is compatible with PostgreSQL.
7-
>
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> CrateDB also provides an HTTP interface, is written in Java, and brings
9-
> together fundamental components to manage big data after the Hadoop and
10-
> Spark batch-processing era, more like Teradata, BigQuery and Snowflake
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> are doing it.
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> CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is based on Lucene, inherits technologies from Elasticsearch, and is compatible with PostgreSQL.
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135
Things to remember when working with CrateDB are:
146

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- CrateDB is a distributed database, where individual nodes form a database cluster, using a shared-nothing architecture.
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- CrateDB is a distributed database written in Java, where individual nodes form a database cluster, using a shared-nothing architecture.
8+
- CrateDB brings together fundamental components to manage big data after the Hadoop and Spark batch-processing era, more like Teradata, BigQuery and Snowflake are doing it.
169
- Clients can connect to CrateDB using HTTP or the PostgreSQL wire protocol.
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- The default TCP ports of CrateDB are 4200 for the HTTP interface and 5432 for the PostgreSQL interface.
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- The language of choice after connecting to CrateDB is to use SQL, mostly compatible with PostgreSQL's SQL dialect.

‎src/index/cratedb-overview.md‎

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# CrateDB
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3-
> CrateDB is a distributed and scalable SQL database for storing and
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> analyzing massive amounts of data in near real-time, even with
5-
> complex queries. It is based on Lucene, inherits technologies from
6-
> Elasticsearch, and is compatible with PostgreSQL.
7-
>
8-
> CrateDB also provides an HTTP interface, is written in Java, and brings
9-
> together fundamental components to manage big data after the Hadoop and
10-
> Spark batch-processing era, more like Teradata, BigQuery and Snowflake
11-
> are doing it.
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> CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is based on Lucene, inherits technologies from Elasticsearch, and is compatible with PostgreSQL.
124
135
Things to remember when working with CrateDB are:
146

15-
- CrateDB is a distributed database, where individual nodes form a database cluster, using a shared-nothing architecture.
7+
- CrateDB is a distributed database written in Java, where individual nodes form a database cluster, using a shared-nothing architecture.
8+
- CrateDB brings together fundamental components to manage big data after the Hadoop and Spark batch-processing era, more like Teradata, BigQuery and Snowflake are doing it.
169
- Clients can connect to CrateDB using HTTP or the PostgreSQL wire protocol.
1710
- The default TCP ports of CrateDB are 4200 for the HTTP interface and 5432 for the PostgreSQL interface.
1811
- The language of choice after connecting to CrateDB is to use SQL, mostly compatible with PostgreSQL's SQL dialect.

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