[DE-616] Spark: ttl (#500)

* Spark: ttl

* Review

---------

Co-authored-by: Simran Spiller <[email protected]>

Author: rashtao

site/content/3.10/develop/integrations/arangodb-datasource-for-apache-spark.md

@@ -150,6 +150,7 @@ usersDF.filter(col("birthday") === "1982-12-15").show()
 - `sampleSize`: sample size prefetched for schema inference, only used if read schema is not provided, `1000` by default
 - `fillBlockCache`: specifies whether the query should store the data it reads in the RocksDB block cache (`true` or `false`), `false` by default
 - `stream`: specifies whether the query should be executed lazily, `true` by default
+- `ttl`: cursor time to live in seconds, `30` by default
 - `mode`: allows setting a mode for dealing with corrupt records during parsing:
   - `PERMISSIVE` : win case of a corrupted record, the malformed string is put into a field configured by 
     `columnNameOfCorruptRecord`, and sets malformed fields to null. To keep corrupt records, a user can set a string 

site/content/3.11/develop/integrations/arangodb-datasource-for-apache-spark.md

@@ -150,6 +150,7 @@ usersDF.filter(col("birthday") === "1982-12-15").show()
 - `sampleSize`: sample size prefetched for schema inference, only used if read schema is not provided, `1000` by default
 - `fillBlockCache`: specifies whether the query should store the data it reads in the RocksDB block cache (`true` or `false`), `false` by default
 - `stream`: specifies whether the query should be executed lazily, `true` by default
+- `ttl`: cursor time to live in seconds, `30` by default
 - `mode`: allows setting a mode for dealing with corrupt records during parsing:
   - `PERMISSIVE` : win case of a corrupted record, the malformed string is put into a field configured by 
     `columnNameOfCorruptRecord`, and sets malformed fields to null. To keep corrupt records, a user can set a string 

site/content/3.12/develop/integrations/arangodb-datasource-for-apache-spark.md

@@ -150,6 +150,7 @@ usersDF.filter(col("birthday") === "1982-12-15").show()
 - `sampleSize`: sample size prefetched for schema inference, only used if read schema is not provided, `1000` by default
 - `fillBlockCache`: specifies whether the query should store the data it reads in the RocksDB block cache (`true` or `false`), `false` by default
 - `stream`: specifies whether the query should be executed lazily, `true` by default
+- `ttl`: cursor time to live in seconds, `30` by default
 - `mode`: allows setting a mode for dealing with corrupt records during parsing:
   - `PERMISSIVE` : win case of a corrupted record, the malformed string is put into a field configured by 
     `columnNameOfCorruptRecord`, and sets malformed fields to null. To keep corrupt records, a user can set a string 

site/content/4.0/develop/integrations/arangodb-datasource-for-apache-spark.md

@@ -150,6 +150,7 @@ usersDF.filter(col("birthday") === "1982-12-15").show()
 - `sampleSize`: sample size prefetched for schema inference, only used if read schema is not provided, `1000` by default
 - `fillBlockCache`: specifies whether the query should store the data it reads in the RocksDB block cache (`true` or `false`), `false` by default
 - `stream`: specifies whether the query should be executed lazily, `true` by default
+- `ttl`: cursor time to live in seconds, `30` by default
 - `mode`: allows setting a mode for dealing with corrupt records during parsing:
   - `PERMISSIVE` : win case of a corrupted record, the malformed string is put into a field configured by 
     `columnNameOfCorruptRecord`, and sets malformed fields to null. To keep corrupt records, a user can set a string